The salary for this role is £50,000. This role is being offered on a 12 Month Fixed Term Contract. Are you an experienced Azure Data Engineer with a passion for building scalable, high-quality data solutions? Can you design and optimise data pipelines using tools like Azure Databricks and Data Factory to deliver real business impact? Do you enjoy collaborating with cross-functional teams to turn complex data into valuable insights If so, we'd love to hear from you! At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values. As a Data Engineer at LI, you will play a key role in delivering scalable, high-quality data solutions that support critical business needs. In this role, you'll design and build new data services, lead migrations of existing solutions, and ensure the ongoing performance and enhancement of live data platforms. Working in a collaborative, agile environment, you'll partner with cross-functional teams including Product Owners, Business Analysts, Developers, and Testers to deliver impactful data products. You'll work with a modern Azure data stack, including Databricks, Synapse, Data Factory, and Data Lake technologies, using tools like Azure DevOps to support end-to-end development and delivery. Responsibilities Your responsibilities will include Designing & Implementing Data Storage Solutions on Azure: Select Azure data storage services appropriately and design data storage schemas, ensuring they are optimised for specific use cases. Building and Maintaining Data Pipelines for Data Integration and Processing: Build and maintain data pipelines for data movement and process orchestration. Collect data from various sources, transform data into a practical format and load it into appropriate data storage solutions on Azure using tools such as Azure Data Factory and Azure Databricks. Ensure data pipelines are scalable and efficient. Ensuring Data Quality & Accuracy Through Testing & Validation: Test and verify data at different phases of the data pipeline, from extraction through to loading. Optimising Data Processing Performance Through Tuning & Monitoring: Ensure data processing is efficient and scalable by tuning the data pipeline and monitoring performance; identify and resolve bottlenecks in the data pipeline and optimise data processing algorithms. Developing & Maintaining Data Models & Schemas: Develop and maintain data models and schemas optimised for specific use cases. Select the appropriate data modelling techniques and ensure the data schema is scalable and efficient. Collaborating With Other Teams to Provide Data for Analytics & Reporting: Work closely with other teams to provide data they need to perform their job functions. Ensuring Data Security & Privacy Prerequisites Are Followed: Ensure that data streamed and processed on Azure confirms with applicable data security and privacy requirements such as the General Data Protection Regulation (GDPR). Working with Large Datasets & Performing Data Analysis: Work with large datasets of hundreds of millions and billions of rows of data and perform data analysis Staying updated on the latest Azure features, updates and best practices to ensure they are adopted effectively as appropriate You may be required to undertake other duties assigned by your line manager as appropriate We are looking for someone with the following Proven experience in Python programming for data engineering and analytics Strong proficiency in SQL, including the Microsoft T-SQL dialect Hands-on experience with Azure data storage solutions Practical knowledge of data integration and processing frameworks, such as Azure Databricks and Azure Data Factory Solid understanding of data modelling concepts and schema design best practices Strong analytical and problem-solving skills, with excellent attention to detail Effective communication skills and the ability to work collaboratively within cross-functional teams. For further information, please see the attached Job Description - Data Engineer Job Description As an LI employee, you will be entitled to our company benefits which include A fully remote and flexible working set up 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays) 1 Privilege Day 4 x annual salary Life Assurance Market leading pension scheme through Legal & General Enhanced Family Friendly Policies Excellent learning, training, and career development opportunities 24/7 access to our Employee Assistance Programme A diverse and inclusive culture where everyone is respected and valued Application and Interview Process To apply for this role, you will need to submit a CV and answer some pre-screening questions. The interview and assessment process for this role will involve a telephone interview with our Talent Team, followed by a first stage and a final stage interview. Interviews will be conducted either remotely via MS Teams or face to face. If we need to make a reasonable adjustment so that you can complete your application, please contact us as soon as possible by emailing before the closing date to discuss your needs. The closing date for this role is 4pm on Friday, 17th April. Applications received after the closing date will not be considered. Please note that we may close the advert early if we receive a high volume of applications Artificial Intelligence Artificial intelligence tools can be used to help you prepare your application. However, all statements and examples provided during the recruitment process should be accurate and based on your own knowledge and experience. Applications may be withdrawn if content is found to be plagiarised, including where ideas or experiences generated by artificial intelligence are presented as personal work. For further information, please click on the following link : AI & Recruitment at LI Values We approach our work with TACT; we are Transparent, Accountable, Committed and we work as a Team. We are transparent together, embracing honesty and building trust. We are accountable to the industry and strive for the best possible solutions for the communities we serve. We drive change with passion, commitment and enthusiasm to deliver a great service to the livestock industry. We work kindly and cohesively which allows us to support each other in our personal and strategic goals. For more information on our values and what its like to work at Livestock Information, please visit our Careers Page : Careers - Livestock Information Ltd At Livestock Information Ltd, we have a zero-tolerance approach to harassment, abuse, discrimination, or bullying during our recruitment process. Any such behaviour may result in a candidate being withdrawn from consideration We are committed to upholding our company values and ensuring a safe and respectful experience for all candidates and staff. Diversity statement At Livestock Information, we value diversity and believe that every individual brings different strengths. We understand that not everyone may possess every single skill outlined in this job description, but if you believe you have a solid skill set that enables you to excel in this position then we really encourage you to apply. Further information If you feel your application has not been treated in a fair and open manner or if you are dis-satisfied with any of your interactions during the recruitment process and you wish to make a complaint, you should contact our Talent team via email: Disclaimer Livestock Information Ltd. cannot sponsor work visas at this time. Livestock Information Ltd. Does not discriminate based on race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Livestock Information Ltd. Does not accept unsolicited CVs from any source other than directly from a candidate. Any unsolicited CV's not originating directly from a candidate and sent to Livestock Information Ltd or any Livestock Information Ltd employees, including unsolicited CVs sent to a Livestock Information Ltd mailing address or email address, are rejected. Livestock Information Ltd will NOT pay a fee for any placement resulting from the receipt of an unsolicited CV. Livestock Information Ltd considers any candidate for whom the recruiter has submitted an unsolicited CV referred by the company free of any fees.
Apr 14, 2026
Full time
The salary for this role is £50,000. This role is being offered on a 12 Month Fixed Term Contract. Are you an experienced Azure Data Engineer with a passion for building scalable, high-quality data solutions? Can you design and optimise data pipelines using tools like Azure Databricks and Data Factory to deliver real business impact? Do you enjoy collaborating with cross-functional teams to turn complex data into valuable insights If so, we'd love to hear from you! At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values. As a Data Engineer at LI, you will play a key role in delivering scalable, high-quality data solutions that support critical business needs. In this role, you'll design and build new data services, lead migrations of existing solutions, and ensure the ongoing performance and enhancement of live data platforms. Working in a collaborative, agile environment, you'll partner with cross-functional teams including Product Owners, Business Analysts, Developers, and Testers to deliver impactful data products. You'll work with a modern Azure data stack, including Databricks, Synapse, Data Factory, and Data Lake technologies, using tools like Azure DevOps to support end-to-end development and delivery. Responsibilities Your responsibilities will include Designing & Implementing Data Storage Solutions on Azure: Select Azure data storage services appropriately and design data storage schemas, ensuring they are optimised for specific use cases. Building and Maintaining Data Pipelines for Data Integration and Processing: Build and maintain data pipelines for data movement and process orchestration. Collect data from various sources, transform data into a practical format and load it into appropriate data storage solutions on Azure using tools such as Azure Data Factory and Azure Databricks. Ensure data pipelines are scalable and efficient. Ensuring Data Quality & Accuracy Through Testing & Validation: Test and verify data at different phases of the data pipeline, from extraction through to loading. Optimising Data Processing Performance Through Tuning & Monitoring: Ensure data processing is efficient and scalable by tuning the data pipeline and monitoring performance; identify and resolve bottlenecks in the data pipeline and optimise data processing algorithms. Developing & Maintaining Data Models & Schemas: Develop and maintain data models and schemas optimised for specific use cases. Select the appropriate data modelling techniques and ensure the data schema is scalable and efficient. Collaborating With Other Teams to Provide Data for Analytics & Reporting: Work closely with other teams to provide data they need to perform their job functions. Ensuring Data Security & Privacy Prerequisites Are Followed: Ensure that data streamed and processed on Azure confirms with applicable data security and privacy requirements such as the General Data Protection Regulation (GDPR). Working with Large Datasets & Performing Data Analysis: Work with large datasets of hundreds of millions and billions of rows of data and perform data analysis Staying updated on the latest Azure features, updates and best practices to ensure they are adopted effectively as appropriate You may be required to undertake other duties assigned by your line manager as appropriate We are looking for someone with the following Proven experience in Python programming for data engineering and analytics Strong proficiency in SQL, including the Microsoft T-SQL dialect Hands-on experience with Azure data storage solutions Practical knowledge of data integration and processing frameworks, such as Azure Databricks and Azure Data Factory Solid understanding of data modelling concepts and schema design best practices Strong analytical and problem-solving skills, with excellent attention to detail Effective communication skills and the ability to work collaboratively within cross-functional teams. For further information, please see the attached Job Description - Data Engineer Job Description As an LI employee, you will be entitled to our company benefits which include A fully remote and flexible working set up 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays) 1 Privilege Day 4 x annual salary Life Assurance Market leading pension scheme through Legal & General Enhanced Family Friendly Policies Excellent learning, training, and career development opportunities 24/7 access to our Employee Assistance Programme A diverse and inclusive culture where everyone is respected and valued Application and Interview Process To apply for this role, you will need to submit a CV and answer some pre-screening questions. The interview and assessment process for this role will involve a telephone interview with our Talent Team, followed by a first stage and a final stage interview. Interviews will be conducted either remotely via MS Teams or face to face. If we need to make a reasonable adjustment so that you can complete your application, please contact us as soon as possible by emailing before the closing date to discuss your needs. The closing date for this role is 4pm on Friday, 17th April. Applications received after the closing date will not be considered. Please note that we may close the advert early if we receive a high volume of applications Artificial Intelligence Artificial intelligence tools can be used to help you prepare your application. However, all statements and examples provided during the recruitment process should be accurate and based on your own knowledge and experience. Applications may be withdrawn if content is found to be plagiarised, including where ideas or experiences generated by artificial intelligence are presented as personal work. For further information, please click on the following link : AI & Recruitment at LI Values We approach our work with TACT; we are Transparent, Accountable, Committed and we work as a Team. We are transparent together, embracing honesty and building trust. We are accountable to the industry and strive for the best possible solutions for the communities we serve. We drive change with passion, commitment and enthusiasm to deliver a great service to the livestock industry. We work kindly and cohesively which allows us to support each other in our personal and strategic goals. For more information on our values and what its like to work at Livestock Information, please visit our Careers Page : Careers - Livestock Information Ltd At Livestock Information Ltd, we have a zero-tolerance approach to harassment, abuse, discrimination, or bullying during our recruitment process. Any such behaviour may result in a candidate being withdrawn from consideration We are committed to upholding our company values and ensuring a safe and respectful experience for all candidates and staff. Diversity statement At Livestock Information, we value diversity and believe that every individual brings different strengths. We understand that not everyone may possess every single skill outlined in this job description, but if you believe you have a solid skill set that enables you to excel in this position then we really encourage you to apply. Further information If you feel your application has not been treated in a fair and open manner or if you are dis-satisfied with any of your interactions during the recruitment process and you wish to make a complaint, you should contact our Talent team via email: Disclaimer Livestock Information Ltd. cannot sponsor work visas at this time. Livestock Information Ltd. Does not discriminate based on race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Livestock Information Ltd. Does not accept unsolicited CVs from any source other than directly from a candidate. Any unsolicited CV's not originating directly from a candidate and sent to Livestock Information Ltd or any Livestock Information Ltd employees, including unsolicited CVs sent to a Livestock Information Ltd mailing address or email address, are rejected. Livestock Information Ltd will NOT pay a fee for any placement resulting from the receipt of an unsolicited CV. Livestock Information Ltd considers any candidate for whom the recruiter has submitted an unsolicited CV referred by the company free of any fees.
Bracknell, UK (Hybrid - 2 days per week in office) ABOUT BASIS TECHNOLOGIES Basis Technologies enables every SAP-run business to manage change intelligently, no matter how complex their technology landscape. Our Intelligent Change Management (ICM) solutions harness the collective intelligence of the SAP community to help business and technology change teams explore, plan, and execute business change imperatives. We are building a dedicated AI Function to deliver intelligent capabilities across our product portfolio. This is a team focused on production grade AI engineering - building real features into real products used by real customers. THE OPPORTUNITY We have an exciting opportunity within our AI Function for an AI Engineer to bring intelligent capabilities into our established enterprise products. Working closely with the platform AI Engineer and the Engineering and Architecture teams, you will leverage shared AI infrastructure to build AI powered features, reinforcing reuse and consistency across products. This role has a clear and structured roadmap. You will be embedded with the teams behind ActiveControl and ActiveDiscover - working closely with established product engineers to design and ship AI capabilities into products that already have strong customer bases. IN THIS ROLE, YOU WILL Build new AI powered features and analysers for our enterprise products, reusing shared AI infrastructure Build MCP servers to expose product data and functionality to AI capabilities Develop predictive and analytical models to surface risks, improve workflows, and support decision making Build evaluation and quality processes for all AI features, aligned with the centralised evaluation framework Implement AI integration patterns in close collaboration with Engineering and Architecture teams IS THIS OPPORTUNITY FOR YOU? Essential experience and skills: Hands on experience in AI engineering, building AI/ML features into production systems Experience designing AI integration patterns for enterprise software Strong software engineering fundamentals: Python, TypeScript or JavaScript, REST API design, MLOps Experience with anomaly detection or predictive analytics on structured operational data Experience building APIs and integration layers, MCP servers, tool calling patterns, or similar service interfaces Desirable skills: Familiarity with graph based dependency analysis or impact analysis techniques Background in building AI features that support compliance and governance workflows Familiarity with SAP BTP ecosystem WHAT WE DO We enable every SAP run business to manage change intelligently, no matter how complex their technology landscape. Our suite of Intelligent Change Management solutions harnesses the collective intelligence of the SAP community to help business and technology change teams work together to explore, plan, and execute business change imperatives. For over 25 years, we have helped equip, liberate, and champion SAP change heroes at global leaders like Kimberly Clark, 3M, and Vistaprint. WHO WE ARE We have been officially named one of the UK's Best Workplaces by Great Place to Work, for the third year in a row. We are at an exciting point as we scale from 130+ global employees. We have the foundations in place to grow with purpose, whilst retaining the individual ownership and tangible impact you would expect working in a scale up organisation. We are a global team who collaborate across all levels, locations, and departments, whilst individually having the knowledge, expertise, autonomy, and accountability to drive successful outcomes. Our fast paced environment means we embrace change and communicate effectively to proactively and creatively solve problems. WHY JOIN US? Aside from the benefits of role evolution, tangible individual impact, and personal growth that you would expect working in a global scale up environment, at Basis Technologies we take looking out for our employees seriously. Benefits include: Competitive salary Company pension Private Medical Insurance & Health Cash Plan Life Assurance & Income Protection Employee Assistance Programme (Unum EAP) 25 days holiday per year, rising to 30 days with service, plus public holidays Global Flexibility - work abroad for up to one month per year Enhanced Parental Leave Paid Volunteer Day Employee Referral Bonus Learning and Development Budget Mental Health First Aiders Programme
Apr 14, 2026
Full time
Bracknell, UK (Hybrid - 2 days per week in office) ABOUT BASIS TECHNOLOGIES Basis Technologies enables every SAP-run business to manage change intelligently, no matter how complex their technology landscape. Our Intelligent Change Management (ICM) solutions harness the collective intelligence of the SAP community to help business and technology change teams explore, plan, and execute business change imperatives. We are building a dedicated AI Function to deliver intelligent capabilities across our product portfolio. This is a team focused on production grade AI engineering - building real features into real products used by real customers. THE OPPORTUNITY We have an exciting opportunity within our AI Function for an AI Engineer to bring intelligent capabilities into our established enterprise products. Working closely with the platform AI Engineer and the Engineering and Architecture teams, you will leverage shared AI infrastructure to build AI powered features, reinforcing reuse and consistency across products. This role has a clear and structured roadmap. You will be embedded with the teams behind ActiveControl and ActiveDiscover - working closely with established product engineers to design and ship AI capabilities into products that already have strong customer bases. IN THIS ROLE, YOU WILL Build new AI powered features and analysers for our enterprise products, reusing shared AI infrastructure Build MCP servers to expose product data and functionality to AI capabilities Develop predictive and analytical models to surface risks, improve workflows, and support decision making Build evaluation and quality processes for all AI features, aligned with the centralised evaluation framework Implement AI integration patterns in close collaboration with Engineering and Architecture teams IS THIS OPPORTUNITY FOR YOU? Essential experience and skills: Hands on experience in AI engineering, building AI/ML features into production systems Experience designing AI integration patterns for enterprise software Strong software engineering fundamentals: Python, TypeScript or JavaScript, REST API design, MLOps Experience with anomaly detection or predictive analytics on structured operational data Experience building APIs and integration layers, MCP servers, tool calling patterns, or similar service interfaces Desirable skills: Familiarity with graph based dependency analysis or impact analysis techniques Background in building AI features that support compliance and governance workflows Familiarity with SAP BTP ecosystem WHAT WE DO We enable every SAP run business to manage change intelligently, no matter how complex their technology landscape. Our suite of Intelligent Change Management solutions harnesses the collective intelligence of the SAP community to help business and technology change teams work together to explore, plan, and execute business change imperatives. For over 25 years, we have helped equip, liberate, and champion SAP change heroes at global leaders like Kimberly Clark, 3M, and Vistaprint. WHO WE ARE We have been officially named one of the UK's Best Workplaces by Great Place to Work, for the third year in a row. We are at an exciting point as we scale from 130+ global employees. We have the foundations in place to grow with purpose, whilst retaining the individual ownership and tangible impact you would expect working in a scale up organisation. We are a global team who collaborate across all levels, locations, and departments, whilst individually having the knowledge, expertise, autonomy, and accountability to drive successful outcomes. Our fast paced environment means we embrace change and communicate effectively to proactively and creatively solve problems. WHY JOIN US? Aside from the benefits of role evolution, tangible individual impact, and personal growth that you would expect working in a global scale up environment, at Basis Technologies we take looking out for our employees seriously. Benefits include: Competitive salary Company pension Private Medical Insurance & Health Cash Plan Life Assurance & Income Protection Employee Assistance Programme (Unum EAP) 25 days holiday per year, rising to 30 days with service, plus public holidays Global Flexibility - work abroad for up to one month per year Enhanced Parental Leave Paid Volunteer Day Employee Referral Bonus Learning and Development Budget Mental Health First Aiders Programme
Fast track your career at our Insight Experience for Women, NatWest Markets - Quantitative Analytics, London, 2026 Do you want to learn more about NatWest Markets, and how you can get your career off to a flying start? Our Insight Experience is your chance to get a flavour of what it's like to work here Running on the 2nd July 2026, you'll be immersed in our business, and have the chance to develop your network and realise your strengths Applications are now open, so spark your imagination and harness your skills to start your future career, today NatWest Markets - Quantitative Analytics At NatWest Markets, we focus on what we do best and what matters most to our customers. Our Quantitative Analytics teams develop quantitative models and analytical tools for derivatives and algorithmic trading, capital, and other financial resources management. What you'll do Join us for an enriching one-day experience in London designed to give you a deep dive into our internship programme. The day will be split into two sessions: a morning conference and an afternoon on-the-job insight. In the morning, you'll join NatWest colleagues for an engaging introduction to the business, our culture, and the future ready skills you'll be developing on an internship. The afternoon will offer a hands on opportunity to experience what it's truly like to be part of our programme, emphasising the real life applications of learned skills. This year's Insight Programme is focussed on placing the student experience at the forefront, prioritising personal development and practical exposure. Don't miss this chance to explore your future career path! Entry requirements To apply, you'll need: To be a women living or studying in the UK To be graduating in 2028 with a Masters degree programme or above On course to be achieving a 2:1 and have strong technical skills across maths, physics, engineering, computer science, or data science The right to work in the UK in 2027 What else you need to know On the day, you must be able to attend in person at our London office. We'll support your travel expenses for the in-person event by reimbursing you up to the value of £100. After completing the Insight Experience, you'll be invited to continue your application journey for our 2027 Internship programmes. The next stage of your journey will be an assessment centre. Have another question? Head over to our 'Applying and eligibility support' page now for answers to some of our most commonly asked questions.
Apr 14, 2026
Full time
Fast track your career at our Insight Experience for Women, NatWest Markets - Quantitative Analytics, London, 2026 Do you want to learn more about NatWest Markets, and how you can get your career off to a flying start? Our Insight Experience is your chance to get a flavour of what it's like to work here Running on the 2nd July 2026, you'll be immersed in our business, and have the chance to develop your network and realise your strengths Applications are now open, so spark your imagination and harness your skills to start your future career, today NatWest Markets - Quantitative Analytics At NatWest Markets, we focus on what we do best and what matters most to our customers. Our Quantitative Analytics teams develop quantitative models and analytical tools for derivatives and algorithmic trading, capital, and other financial resources management. What you'll do Join us for an enriching one-day experience in London designed to give you a deep dive into our internship programme. The day will be split into two sessions: a morning conference and an afternoon on-the-job insight. In the morning, you'll join NatWest colleagues for an engaging introduction to the business, our culture, and the future ready skills you'll be developing on an internship. The afternoon will offer a hands on opportunity to experience what it's truly like to be part of our programme, emphasising the real life applications of learned skills. This year's Insight Programme is focussed on placing the student experience at the forefront, prioritising personal development and practical exposure. Don't miss this chance to explore your future career path! Entry requirements To apply, you'll need: To be a women living or studying in the UK To be graduating in 2028 with a Masters degree programme or above On course to be achieving a 2:1 and have strong technical skills across maths, physics, engineering, computer science, or data science The right to work in the UK in 2027 What else you need to know On the day, you must be able to attend in person at our London office. We'll support your travel expenses for the in-person event by reimbursing you up to the value of £100. After completing the Insight Experience, you'll be invited to continue your application journey for our 2027 Internship programmes. The next stage of your journey will be an assessment centre. Have another question? Head over to our 'Applying and eligibility support' page now for answers to some of our most commonly asked questions.
Job ID: AWS EMEA SARL (UK Branch) Transform Data Infrastructure Through Strategic Cloud Innovation Drive organisational transformation by architecting sophisticated database solutions that bridge technical excellence with business impact. Design and implement scalable cloud-based data platforms that unlock strategic value and accelerate digital transformation. As a trusted technical adviser, you'll partner with customers to reimagine their database infrastructure, translating complex data challenges into elegant, high-performance architectures. Your expertise will guide organisations through their most critical database modernisation initiatives, creating resilient, cost-effective platforms that power analytics and operational excellence. Key Job Responsibilities Customer Engagement & Solution Design Collaborate with sales teams to architect comprehensive cloud database solutions tailored to diverse customer requirements Engage as a strategic technical adviser, translating complex database concepts into actionable modernisation strategies Design reference architectures and best practice frameworks that demonstrate innovative approaches to database management Technical Leadership & Thought Leadership Develop content showcasing expertise in cloud databases, data platforms, and analytics technologies Create technical guidance that accelerates customer adoption of modern database architectures Partner with global database specialists to refine and evolve customer solution strategies Database Modernisation & Innovation Lead customers through database migration and modernisation journeys, from legacy systems to cloud-native platforms Design scalable database architectures leveraging managed services, serverless technologies, and modern data patterns Champion best practices in database performance optimisation, security, and operational excellence Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) Preferred Qualifications Experience in infrastructure architecture, database architecture and networking Experience working with end user or developer communities Knowledge of cloud architecture Knowledge of AWS services, market segments, customer base and industry verticals Experience with tools/systems to analyze data including Excel, Access, SQL or other data management systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Apr 14, 2026
Full time
Job ID: AWS EMEA SARL (UK Branch) Transform Data Infrastructure Through Strategic Cloud Innovation Drive organisational transformation by architecting sophisticated database solutions that bridge technical excellence with business impact. Design and implement scalable cloud-based data platforms that unlock strategic value and accelerate digital transformation. As a trusted technical adviser, you'll partner with customers to reimagine their database infrastructure, translating complex data challenges into elegant, high-performance architectures. Your expertise will guide organisations through their most critical database modernisation initiatives, creating resilient, cost-effective platforms that power analytics and operational excellence. Key Job Responsibilities Customer Engagement & Solution Design Collaborate with sales teams to architect comprehensive cloud database solutions tailored to diverse customer requirements Engage as a strategic technical adviser, translating complex database concepts into actionable modernisation strategies Design reference architectures and best practice frameworks that demonstrate innovative approaches to database management Technical Leadership & Thought Leadership Develop content showcasing expertise in cloud databases, data platforms, and analytics technologies Create technical guidance that accelerates customer adoption of modern database architectures Partner with global database specialists to refine and evolve customer solution strategies Database Modernisation & Innovation Lead customers through database migration and modernisation journeys, from legacy systems to cloud-native platforms Design scalable database architectures leveraging managed services, serverless technologies, and modern data patterns Champion best practices in database performance optimisation, security, and operational excellence Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) Preferred Qualifications Experience in infrastructure architecture, database architecture and networking Experience working with end user or developer communities Knowledge of cloud architecture Knowledge of AWS services, market segments, customer base and industry verticals Experience with tools/systems to analyze data including Excel, Access, SQL or other data management systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
A leading data and AI company in Greater London seeks a talented individual to engage complex customers with their Data Intelligence Platform. The role emphasizes developing customer strategies to promote data analytics solutions and requires a solid technical background in Data Engineering or Machine Learning, alongside experience in cloud environments. Join a collaborative team striving to enhance customer relationships and advocate for innovative solutions in a rapidly evolving industry.
Apr 14, 2026
Full time
A leading data and AI company in Greater London seeks a talented individual to engage complex customers with their Data Intelligence Platform. The role emphasizes developing customer strategies to promote data analytics solutions and requires a solid technical background in Data Engineering or Machine Learning, alongside experience in cloud environments. Join a collaborative team striving to enhance customer relationships and advocate for innovative solutions in a rapidly evolving industry.
Market Intelligence Business Analyst At Philips, our purpose is to improve people's lives through meaningful innovation. Our Magnetic Resonance Imaging (MRI) portfolio leads the industry with best in class systems, advanced software, and streamlined workflow solutions that elevate diagnostic quality and patient outcomes. As a Market Intelligence Business Analyst, you will transform complex internal and external data into compelling stories and actionable insights that shape commercial strategy and drive measurable portfolio performance. You will combine market trends, competitor intelligence, and commercial data to guide where and how Philips should compete in the global MRI market. This role is an excellent fit for a logical, analytically strong professional who builds strong relationships with stakeholders, takes ownership, and thrives in a dynamic health tech environment. Your role Act as a trusted strategic advisor: think proactively to improve overall business performance, uncover opportunities, and deliver measurable impact. Co develop and drive the Market Intelligence capability agenda, connecting industry and market patterns to Philips MRI strategic direction and product roadmap. Integrate internal and external data sources to build a comprehensive view of business performance and translate it into clear, tangible insights and growth opportunities. Drive product mix and profitability analytics: safeguard margins, analyze lifecycle value leakage, and support product portfolio optimization across global markets. Build robust data models that combine external market insights with internal commercial data to support decision making. You will join the Marketing Operations and Planning team for the MRI business, which includes Market Intelligence, Pricing, Installed Base & Commercial Analytics, Clinical Insights, and Commercial Catalogue. Success in this role requires close collaboration with Product Management, Product Marketing, Finance, Leadership team, MI&A group function, and local markets worldwide. You're the right fit if Bachelor's or Master's degree in Finance, Data Science, Marketing, Business Administration, a Technical/Engineering discipline, or equivalent. 3+ years in an analytical/strategic role (e.g., strategy consulting, corporate finance, equity analysis, pricing management, or similar). Exceptional analytical and problem solving abilities-with a track record of structuring large datasets and delivering clear, impactful visualizations for senior stakeholders. Proficiency in conducting rapid root cause analyses (quantitative + qualitative, including interviews/sample deep dives) and translating findings into actionable, prioritized recommendations. Excellent communication skills to influence stakeholders across markets, functions, and seniority levels. Collaborative team player with strong planning/execution discipline, and proven ability to deliver under tight timelines in a matrix environment. Solid financial acumen: Ability to develop and interpret key analyses (NPV, ROI, break even, margin modelling) to influence business decisions. Hands on experience with visualization/BI tools (Power BI strongly preferred), and SAP. Philips is committed to creating a healthier, more connected society. Join us to make a real difference in Magnetic Resonance Imaging (MRI) while advancing your career in a purpose driven, innovative organization. How we work together We believe that we are better together than apart. For our office based teams, this means working in person at least 3 days per week. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. • Learn more about our business. • Discover our rich and exciting history. • Learn more about our purpose. If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
Apr 14, 2026
Full time
Market Intelligence Business Analyst At Philips, our purpose is to improve people's lives through meaningful innovation. Our Magnetic Resonance Imaging (MRI) portfolio leads the industry with best in class systems, advanced software, and streamlined workflow solutions that elevate diagnostic quality and patient outcomes. As a Market Intelligence Business Analyst, you will transform complex internal and external data into compelling stories and actionable insights that shape commercial strategy and drive measurable portfolio performance. You will combine market trends, competitor intelligence, and commercial data to guide where and how Philips should compete in the global MRI market. This role is an excellent fit for a logical, analytically strong professional who builds strong relationships with stakeholders, takes ownership, and thrives in a dynamic health tech environment. Your role Act as a trusted strategic advisor: think proactively to improve overall business performance, uncover opportunities, and deliver measurable impact. Co develop and drive the Market Intelligence capability agenda, connecting industry and market patterns to Philips MRI strategic direction and product roadmap. Integrate internal and external data sources to build a comprehensive view of business performance and translate it into clear, tangible insights and growth opportunities. Drive product mix and profitability analytics: safeguard margins, analyze lifecycle value leakage, and support product portfolio optimization across global markets. Build robust data models that combine external market insights with internal commercial data to support decision making. You will join the Marketing Operations and Planning team for the MRI business, which includes Market Intelligence, Pricing, Installed Base & Commercial Analytics, Clinical Insights, and Commercial Catalogue. Success in this role requires close collaboration with Product Management, Product Marketing, Finance, Leadership team, MI&A group function, and local markets worldwide. You're the right fit if Bachelor's or Master's degree in Finance, Data Science, Marketing, Business Administration, a Technical/Engineering discipline, or equivalent. 3+ years in an analytical/strategic role (e.g., strategy consulting, corporate finance, equity analysis, pricing management, or similar). Exceptional analytical and problem solving abilities-with a track record of structuring large datasets and delivering clear, impactful visualizations for senior stakeholders. Proficiency in conducting rapid root cause analyses (quantitative + qualitative, including interviews/sample deep dives) and translating findings into actionable, prioritized recommendations. Excellent communication skills to influence stakeholders across markets, functions, and seniority levels. Collaborative team player with strong planning/execution discipline, and proven ability to deliver under tight timelines in a matrix environment. Solid financial acumen: Ability to develop and interpret key analyses (NPV, ROI, break even, margin modelling) to influence business decisions. Hands on experience with visualization/BI tools (Power BI strongly preferred), and SAP. Philips is committed to creating a healthier, more connected society. Join us to make a real difference in Magnetic Resonance Imaging (MRI) while advancing your career in a purpose driven, innovative organization. How we work together We believe that we are better together than apart. For our office based teams, this means working in person at least 3 days per week. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. • Learn more about our business. • Discover our rich and exciting history. • Learn more about our purpose. If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
Principal Data Analyst (SC Cleared - Aerospace/Defence) Location: Reading (Hybrid - 2-3 days onsite, flexibility available) Clearance: SC Cleared (Active) Contract Type: Inside IR35 Rate: £80 - £83 per hour Overview Are you an experienced SC Cleared Data Analyst with a strong background in aerospace or defence? We are looking for a Principal Data Analyst to join a cutting-edge programme within the Edgewing business, supporting a greenfield site where you'll play a critical role in shaping data capability from the ground up. This is a fast-paced, high-impact environment where your expertise will directly influence how aircraft sensor data is analysed, optimised, and transformed into actionable insight. Key Responsibilities Lead the design and delivery of advanced analytics solutions across a greenfield data environment Analyse and interpret aircraft sensor data to drive performance improvements and operational insights Improve data quality, optimise performance, and reduce false positives in analytical outputs Develop and maintain dashboards, reporting, and automated data workflows using SQL and modern tools Collaborate with engineers, analysts, and business stakeholders within the Edgewing ecosystem Define and implement robust data governance, security, and compliance standards Influence strategic decisions through clear, data-driven storytelling Mentor junior analysts and contribute to building a high-performing data team Operate effectively in a fast-paced, evolving environment, adapting to changing priorities Key Skills & Experience Proven experience as a Data Analyst within aerospace, defence, or similar high-assurance environments Strong understanding of aircraft systems and sensor data Experience working in or with the Edgewing business (highly desirable) Advanced SQL and data warehousing expertise Strong data visualisation skills (Power BI, Tableau) Demonstrated ability to improve data performance and analytical accuracy Experience reducing false positives and enhancing data reliability Strong stakeholder engagement and communication skills Ability to work collaboratively with both engineers and analysts Core Expertise (Must-Have) MOD experience Active SC Clearance Strong background in aerospace data and systems Data modelling and dashboard design for scalable, future-proof solutions Expertise in data validation, QA, and data quality improvement Experience in cloud or hybrid data environments and data warehousing Deep understanding of data security, ethics, and privacy Experience managing workloads across multidisciplinary teams Familiarity with Agile and/or DevOps methodologies Why Apply? Join a greenfield programme with real influence over data strategy and architecture Work on cutting-edge aerospace and defence projects within the Edgewing environment Play a key role in improving mission-critical data performance and accuracy Flexible hybrid working with potential for reduced onsite requirements
Apr 14, 2026
Full time
Principal Data Analyst (SC Cleared - Aerospace/Defence) Location: Reading (Hybrid - 2-3 days onsite, flexibility available) Clearance: SC Cleared (Active) Contract Type: Inside IR35 Rate: £80 - £83 per hour Overview Are you an experienced SC Cleared Data Analyst with a strong background in aerospace or defence? We are looking for a Principal Data Analyst to join a cutting-edge programme within the Edgewing business, supporting a greenfield site where you'll play a critical role in shaping data capability from the ground up. This is a fast-paced, high-impact environment where your expertise will directly influence how aircraft sensor data is analysed, optimised, and transformed into actionable insight. Key Responsibilities Lead the design and delivery of advanced analytics solutions across a greenfield data environment Analyse and interpret aircraft sensor data to drive performance improvements and operational insights Improve data quality, optimise performance, and reduce false positives in analytical outputs Develop and maintain dashboards, reporting, and automated data workflows using SQL and modern tools Collaborate with engineers, analysts, and business stakeholders within the Edgewing ecosystem Define and implement robust data governance, security, and compliance standards Influence strategic decisions through clear, data-driven storytelling Mentor junior analysts and contribute to building a high-performing data team Operate effectively in a fast-paced, evolving environment, adapting to changing priorities Key Skills & Experience Proven experience as a Data Analyst within aerospace, defence, or similar high-assurance environments Strong understanding of aircraft systems and sensor data Experience working in or with the Edgewing business (highly desirable) Advanced SQL and data warehousing expertise Strong data visualisation skills (Power BI, Tableau) Demonstrated ability to improve data performance and analytical accuracy Experience reducing false positives and enhancing data reliability Strong stakeholder engagement and communication skills Ability to work collaboratively with both engineers and analysts Core Expertise (Must-Have) MOD experience Active SC Clearance Strong background in aerospace data and systems Data modelling and dashboard design for scalable, future-proof solutions Expertise in data validation, QA, and data quality improvement Experience in cloud or hybrid data environments and data warehousing Deep understanding of data security, ethics, and privacy Experience managing workloads across multidisciplinary teams Familiarity with Agile and/or DevOps methodologies Why Apply? Join a greenfield programme with real influence over data strategy and architecture Work on cutting-edge aerospace and defence projects within the Edgewing environment Play a key role in improving mission-critical data performance and accuracy Flexible hybrid working with potential for reduced onsite requirements
Legal Operations Manager £65,000 - £75,000 plus benefits Reports to: Lead Senior Solicitor Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London - High Flex (1-2 days per week in the office) Closing date: Friday 24th April 23:55pm Recruitment process: Competency-based interview process with task. Interview date: Approximately week commencing 4th May 2026 At Cancer Research UK, we exist to beat cancer. We're excited to offer a newly created opportunity for a Legal Operations Manager to join our Research & Innovation Legal team. This is a pivotal role with real scope to make a meaningful impact, shaping how we deliver legal services that support life changing research. In this role, you'll lead continuous improvement across our Research & Innovation legal operations and systems. You'll play a key part in reviewing and developing our legal operating model and strategy, identifying opportunities to streamline processes, optimise existing technologies, and explore innovative new technical solutions. Working closely with the Director of Legal, Lead Senior Solicitors, and stakeholders across the organisation, you'll design, deliver, and communicate transformative change. Together, you'll redefine how we deliver legal services, establish best practice, and embed smarter, more effective ways of working across the function. This is an exciting opportunity for someone who thrives on improvement, collaboration, and making a tangible difference within a purpose driven organisation. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites across the UK you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Operational Strategy & Process Improvement: Review, develop, and innovate the legal service model to improve efficiency and effectiveness. Lead process mapping, workflow design, and implementation of best practices, including contracting and approval processes, playbooks and operating procedures. Identify opportunities for continuous improvement and operational excellence across legal services. Oversee design, development, and maintenance of process documentation, governance strategies, and workflows. Technology & Legal Tech Integration: Develop and implement a long term roadmap for legal technology and AI adoption and optimisation, ensuring alignment with organisational priorities and R&I Legal needs. Manage integration of legal technology and AI tools within existing systems, working closely with suppliers and internal technology teams to ensure smooth deployment and interoperability. Evaluate, pilot and roll out new technologies - such as case management systems, intake portals, automation, document intelligence tools, knowledge-management and other AI enabled solutions - addressing operational challenges across R&I Legal and wider organisation. Design and prototype lightweight custom AI solutions where required, lead responsible implementation (including governance, risk and compliance considerations), deliver stakeholder training, and monitor emerging AI capabilities to drive continuous improvement. Data & Business Intelligence: Develop high-quality management information and reporting processes. Work with senior team members to collect, analyse, and present relevant metrics to inform strategic decision-making. Use AI assisted analytics tools where appropriate to enhance reporting, trend analysis and decision support insights. Knowledge Management & Training: Facilitate knowledge hubs, templates, and best practice materials to prevent knowledge loss. Work with Learning & Development to deliver training, presentations, and demonstrations on legal tech and new processes. Stakeholder Engagement: Collaborate with senior leaders and cross-functional teams to design and communicate transformative changes. Assisting the Director of Legal in preparing and delivering impactful communications to foster collaboration, ensure consistency and build user confidence, including roll-out plans, service updates, and training materials. Build and maintain good working relationships across the organisation. Coordinate internal team operations - including regular team meetings, documentation, scheduling, and action tracking, and support governance of the departmental budget through structured monitoring, reporting, and alignment with Finance What are we looking for? Significant experience in legal operations or project/change management. Experience identifying, piloting or implementing AI or automation tools within in-house legal teams or comparable environments. Ability to design or customise AI based solutions (e.g., utilising LLMs, prompt engineering, automation platforms, or basic scripting) is a plus. Strong understanding of legal technology and its application to improve workflows, including knowledge of market leading vendors, and core use cases. Excellent project management, prioritisation, and organisational skills. Ability to influence and communicate effectively at all levels, including leadership. Analytical and problem-solving skills with experience in business intelligence and data-driven decision-making. Strategic thinker with a genuine interest in solution design and innovation. Commitment to Cancer Research UK's mission and values. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Apr 14, 2026
Full time
Legal Operations Manager £65,000 - £75,000 plus benefits Reports to: Lead Senior Solicitor Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London - High Flex (1-2 days per week in the office) Closing date: Friday 24th April 23:55pm Recruitment process: Competency-based interview process with task. Interview date: Approximately week commencing 4th May 2026 At Cancer Research UK, we exist to beat cancer. We're excited to offer a newly created opportunity for a Legal Operations Manager to join our Research & Innovation Legal team. This is a pivotal role with real scope to make a meaningful impact, shaping how we deliver legal services that support life changing research. In this role, you'll lead continuous improvement across our Research & Innovation legal operations and systems. You'll play a key part in reviewing and developing our legal operating model and strategy, identifying opportunities to streamline processes, optimise existing technologies, and explore innovative new technical solutions. Working closely with the Director of Legal, Lead Senior Solicitors, and stakeholders across the organisation, you'll design, deliver, and communicate transformative change. Together, you'll redefine how we deliver legal services, establish best practice, and embed smarter, more effective ways of working across the function. This is an exciting opportunity for someone who thrives on improvement, collaboration, and making a tangible difference within a purpose driven organisation. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites across the UK you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Operational Strategy & Process Improvement: Review, develop, and innovate the legal service model to improve efficiency and effectiveness. Lead process mapping, workflow design, and implementation of best practices, including contracting and approval processes, playbooks and operating procedures. Identify opportunities for continuous improvement and operational excellence across legal services. Oversee design, development, and maintenance of process documentation, governance strategies, and workflows. Technology & Legal Tech Integration: Develop and implement a long term roadmap for legal technology and AI adoption and optimisation, ensuring alignment with organisational priorities and R&I Legal needs. Manage integration of legal technology and AI tools within existing systems, working closely with suppliers and internal technology teams to ensure smooth deployment and interoperability. Evaluate, pilot and roll out new technologies - such as case management systems, intake portals, automation, document intelligence tools, knowledge-management and other AI enabled solutions - addressing operational challenges across R&I Legal and wider organisation. Design and prototype lightweight custom AI solutions where required, lead responsible implementation (including governance, risk and compliance considerations), deliver stakeholder training, and monitor emerging AI capabilities to drive continuous improvement. Data & Business Intelligence: Develop high-quality management information and reporting processes. Work with senior team members to collect, analyse, and present relevant metrics to inform strategic decision-making. Use AI assisted analytics tools where appropriate to enhance reporting, trend analysis and decision support insights. Knowledge Management & Training: Facilitate knowledge hubs, templates, and best practice materials to prevent knowledge loss. Work with Learning & Development to deliver training, presentations, and demonstrations on legal tech and new processes. Stakeholder Engagement: Collaborate with senior leaders and cross-functional teams to design and communicate transformative changes. Assisting the Director of Legal in preparing and delivering impactful communications to foster collaboration, ensure consistency and build user confidence, including roll-out plans, service updates, and training materials. Build and maintain good working relationships across the organisation. Coordinate internal team operations - including regular team meetings, documentation, scheduling, and action tracking, and support governance of the departmental budget through structured monitoring, reporting, and alignment with Finance What are we looking for? Significant experience in legal operations or project/change management. Experience identifying, piloting or implementing AI or automation tools within in-house legal teams or comparable environments. Ability to design or customise AI based solutions (e.g., utilising LLMs, prompt engineering, automation platforms, or basic scripting) is a plus. Strong understanding of legal technology and its application to improve workflows, including knowledge of market leading vendors, and core use cases. Excellent project management, prioritisation, and organisational skills. Ability to influence and communicate effectively at all levels, including leadership. Analytical and problem-solving skills with experience in business intelligence and data-driven decision-making. Strategic thinker with a genuine interest in solution design and innovation. Commitment to Cancer Research UK's mission and values. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Computershare have a very exciting opportunity for a Lead Data Architect to join our Global Technology team based in Edinburgh. What makes this role exciting when there are other similar roles in the market? Well, there are a few things that make this role stand out: You will be working in a global department who are currently supporting a business wide digital transformation programme. At Computershare we continually look to develop our staff, so you will have continuous training and development opportunities. We encourage a flexible working environment to allow you to work the way that suits you best. We're continuing to build our Global Technology hub out of our Edinburgh office, creating a great working environment for all of our staff here. Interested? Keep reading to find out more about the role and type of person we are looking for. A role you will love As our Lead Data Architect, you provide strategic and technical leadership for the design and delivery of Computershare's new enterprise data platform built on Microsoft Fabric. You will define and govern the data architecture, set direction for how the data is modelled, integrated, governed and delivered and ensure that data becomes a trusted, high value asset across the business. You will be accountable for shaping the long-term architecture vision, aligning it with the business and data strategy to deliver a platform that supports Computershare's global business needs for high volume data management, analytics, regulatory compliance and trusted insights. Some key responsibilities: Defining our strategic target data architecture, and roadmap, aligning them both to the business, data strategy and objectives. Facilitating collaborative architecture decision making, partnering and engaging with key business and digital leaders to evolve Computershare's long term architectural direction Cultivating strong relationships with partners, vendors, technology leaders and industry thought leaders Designing and embedding Data Platform Patterns that including Data Governance, Analytics, Engineering, master data management and Visualisation in a Cloud and SaaS ecosystem, ideally using Azure, Microsoft Fabric, Microsoft Purview, Azure Machine learning, Power BI Architect customer centric, high performance, secure, robust and sustainable E2E digital products solutions and services that deliver business value. What will you bring to the role? As you've probably gathered by now, we are looking for somebody with a real passion for Data Architecture & Technology and will have the ability to provide excellent architectural leadership & direction to our teams. With this role being a key part of our Architecture team, you will be experienced in managing and building excellent stakeholder relationships with people at all levels. Other key skills required for the role include: Proficient in a range of data and analytics tools in a cloud and SaaS ecosystem (including Azure, Microsoft Fabric, PySpark, PowerBI and Purview). Comprehensive knowledge of the data lifecycle, including BI analysis, data engineering, data science, and data governance processes. Comprehensive understanding of operational data flow standard and documentation. Solid experience in applying data and analytics within fintech or financial services, understanding the unique challenges and opportunities in these sectors. Strong capability in explaining and embedding a data-focused pattern-based approach, fostering an environment of collaboration and innovation. Demonstrated ability to use data-driven insights to make significant contributions to business growth, operational efficiency, and customer satisfaction. Sound like the type of role for you? Apply today! Rewards designed for you Flexible work to help you find the best balance between work and lifestyle Health and wellbeing rewards that can be tailored to support you and your family Invest in our business by setting aside salary topurchaseshares in our company, andyou'llreceive a company contribution as well. Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow.Our careers hub will help you find out more about our rewards and life at Computershare, We're unable to offer UK visa sponsorship for this role, so we're looking for candidates who have the legal right to work in the United Kingdom. About Us A company to be proud of We're a global leader in financial administration with over 11,000 employees across more than 22 different countries. At Computershare, it's more than just a job, our open and inclusive culture means that we will help you to grow, to move forward and make the most of our world of opportunities. Fairness and culture We're dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process and continuing throughout your career with us. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. For support with accommodations or adjustments during our recruitment process please visit for further information. About the Team Our Technology Services team is a place where new ideas and approaches are welcomed, and every individual is equipped and empowered to create change. We're a rapidly evolving and diverse global business and there is always something to learn, opportunities to explore and a broad range of career paths to progress along. Job Info Job Identification 10126 Job Category Technology - IT Operations Posting Date 04/02/2026, 02:44 PM Locations 4 North St Andrew St, Edinburgh, City of Edinburgh, EH2 1HJ, GB (Hybrid)
Apr 14, 2026
Full time
Computershare have a very exciting opportunity for a Lead Data Architect to join our Global Technology team based in Edinburgh. What makes this role exciting when there are other similar roles in the market? Well, there are a few things that make this role stand out: You will be working in a global department who are currently supporting a business wide digital transformation programme. At Computershare we continually look to develop our staff, so you will have continuous training and development opportunities. We encourage a flexible working environment to allow you to work the way that suits you best. We're continuing to build our Global Technology hub out of our Edinburgh office, creating a great working environment for all of our staff here. Interested? Keep reading to find out more about the role and type of person we are looking for. A role you will love As our Lead Data Architect, you provide strategic and technical leadership for the design and delivery of Computershare's new enterprise data platform built on Microsoft Fabric. You will define and govern the data architecture, set direction for how the data is modelled, integrated, governed and delivered and ensure that data becomes a trusted, high value asset across the business. You will be accountable for shaping the long-term architecture vision, aligning it with the business and data strategy to deliver a platform that supports Computershare's global business needs for high volume data management, analytics, regulatory compliance and trusted insights. Some key responsibilities: Defining our strategic target data architecture, and roadmap, aligning them both to the business, data strategy and objectives. Facilitating collaborative architecture decision making, partnering and engaging with key business and digital leaders to evolve Computershare's long term architectural direction Cultivating strong relationships with partners, vendors, technology leaders and industry thought leaders Designing and embedding Data Platform Patterns that including Data Governance, Analytics, Engineering, master data management and Visualisation in a Cloud and SaaS ecosystem, ideally using Azure, Microsoft Fabric, Microsoft Purview, Azure Machine learning, Power BI Architect customer centric, high performance, secure, robust and sustainable E2E digital products solutions and services that deliver business value. What will you bring to the role? As you've probably gathered by now, we are looking for somebody with a real passion for Data Architecture & Technology and will have the ability to provide excellent architectural leadership & direction to our teams. With this role being a key part of our Architecture team, you will be experienced in managing and building excellent stakeholder relationships with people at all levels. Other key skills required for the role include: Proficient in a range of data and analytics tools in a cloud and SaaS ecosystem (including Azure, Microsoft Fabric, PySpark, PowerBI and Purview). Comprehensive knowledge of the data lifecycle, including BI analysis, data engineering, data science, and data governance processes. Comprehensive understanding of operational data flow standard and documentation. Solid experience in applying data and analytics within fintech or financial services, understanding the unique challenges and opportunities in these sectors. Strong capability in explaining and embedding a data-focused pattern-based approach, fostering an environment of collaboration and innovation. Demonstrated ability to use data-driven insights to make significant contributions to business growth, operational efficiency, and customer satisfaction. Sound like the type of role for you? Apply today! Rewards designed for you Flexible work to help you find the best balance between work and lifestyle Health and wellbeing rewards that can be tailored to support you and your family Invest in our business by setting aside salary topurchaseshares in our company, andyou'llreceive a company contribution as well. Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow.Our careers hub will help you find out more about our rewards and life at Computershare, We're unable to offer UK visa sponsorship for this role, so we're looking for candidates who have the legal right to work in the United Kingdom. About Us A company to be proud of We're a global leader in financial administration with over 11,000 employees across more than 22 different countries. At Computershare, it's more than just a job, our open and inclusive culture means that we will help you to grow, to move forward and make the most of our world of opportunities. Fairness and culture We're dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process and continuing throughout your career with us. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. For support with accommodations or adjustments during our recruitment process please visit for further information. About the Team Our Technology Services team is a place where new ideas and approaches are welcomed, and every individual is equipped and empowered to create change. We're a rapidly evolving and diverse global business and there is always something to learn, opportunities to explore and a broad range of career paths to progress along. Job Info Job Identification 10126 Job Category Technology - IT Operations Posting Date 04/02/2026, 02:44 PM Locations 4 North St Andrew St, Edinburgh, City of Edinburgh, EH2 1HJ, GB (Hybrid)
Agile Delivery Lead Manchester - Hybrid (2 days per week on site) Permanent - up to £90,000 dependant on experience Lead delivery at scale. Drive outcomes that matter. Harvey Nash is proud to be partnered with a fast-paced, technology-led organisation in a highly regulated environment to appoint an experienced Agile Delivery Lead. This is a key leadership role responsible for driving consistent, outcome focused delivery across multiple teams, domains, and workstreams. You'll operate at the intersection of Product, Engineering, and the wider business - enabling alignment, improving delivery maturity, and ensuring strategic initiatives are delivered efficiently, safely, and in line with regulatory expectations. What you'll be doing Driving Delivery at Scale Enable flow across multiple Agile teams (Scrum / Kanban) and workstreams Remove cross-team blockers and manage complex dependencies Ensure delivery is predictable, sustainable, and aligned to strategic priorities Leadership & Coaching Coach Delivery Managers, Project Managers, and teams to improve maturity and performance Embed Agile principles and foster a culture of accountability and continuous improvement Support the development of high performing, self organising teams Alignment & Collaboration Facilitate collaboration across Product, Engineering, and business stakeholders Align delivery activity with strategic goals and outcome focused objectives Promote consistent ways of working, standards, and ceremonies across teams Data Driven Delivery Report on delivery health, risks, and performance using metrics (DORA, flow metrics, OKRs) Use insights to drive continuous improvement and inform decision making Provide visibility of delivery progress, risks, and dependencies at a portfolio level Governance, Risk & Compliance Identify and manage systemic risks across teams and domains Ensure delivery aligns with regulatory, compliance, and responsible gambling standards Contribute to delivery frameworks and governance models for a regulated, always on platform Continuous Improvement & Strategy Identify opportunities to evolve delivery practices, tooling, and frameworks Support roadmap planning with insight into capacity, dependencies, and outcomes Drive organisation wide improvements in delivery consistency and effectiveness What we're looking for Proven experience leading delivery across multiple Agile teams or complex programmes Strong leadership, coaching, and mentoring capability Deep understanding of Agile frameworks (Scrum, Kanban, Lean) and scaled environments (e.g. SAFe, LeSS, or similar) Experience delivering complex digital products in fast paced, regulated industries (e.g. fintech, gaming, e commerce) Strong stakeholder management skills with the ability to influence at a senior level Experience using delivery metrics (DORA, flow metrics, OKRs) to drive performance Ability to manage dependencies, risks, and blockers across teams Data driven mindset with a focus on continuous improvement Strong understanding of DevOps, CI/CD, and high availability delivery environments Desirable Experience with outcome based planning and delivery analytics (e.g. SEI / DORA dashboards) Background in coaching and enabling team maturity at scale Experience working across multiple domains or large scale delivery environments Familiarity with modern tooling (Jira, Confluence, Miro, Azure DevOps, Jira Align) Strong facilitation skills across cross team ceremonies and planning sessions Knowledge of regulatory and compliance requirements in industries such as gambling or fintech Experience influencing organisational change and embedding Agile culture Why apply? Play a key role in shaping delivery across a complex, modern technology landscape Influence strategy, delivery standards, and organisational maturity Work in a collaborative, forward thinking environment Drive meaningful outcomes in a regulated, high impact domain If you're ready to lead delivery at scale and drive real organisational impact, we'd love to hear from you. Apply directly online, and if your application is successful, one of the team will be in touch for a confidential discussion.
Apr 14, 2026
Full time
Agile Delivery Lead Manchester - Hybrid (2 days per week on site) Permanent - up to £90,000 dependant on experience Lead delivery at scale. Drive outcomes that matter. Harvey Nash is proud to be partnered with a fast-paced, technology-led organisation in a highly regulated environment to appoint an experienced Agile Delivery Lead. This is a key leadership role responsible for driving consistent, outcome focused delivery across multiple teams, domains, and workstreams. You'll operate at the intersection of Product, Engineering, and the wider business - enabling alignment, improving delivery maturity, and ensuring strategic initiatives are delivered efficiently, safely, and in line with regulatory expectations. What you'll be doing Driving Delivery at Scale Enable flow across multiple Agile teams (Scrum / Kanban) and workstreams Remove cross-team blockers and manage complex dependencies Ensure delivery is predictable, sustainable, and aligned to strategic priorities Leadership & Coaching Coach Delivery Managers, Project Managers, and teams to improve maturity and performance Embed Agile principles and foster a culture of accountability and continuous improvement Support the development of high performing, self organising teams Alignment & Collaboration Facilitate collaboration across Product, Engineering, and business stakeholders Align delivery activity with strategic goals and outcome focused objectives Promote consistent ways of working, standards, and ceremonies across teams Data Driven Delivery Report on delivery health, risks, and performance using metrics (DORA, flow metrics, OKRs) Use insights to drive continuous improvement and inform decision making Provide visibility of delivery progress, risks, and dependencies at a portfolio level Governance, Risk & Compliance Identify and manage systemic risks across teams and domains Ensure delivery aligns with regulatory, compliance, and responsible gambling standards Contribute to delivery frameworks and governance models for a regulated, always on platform Continuous Improvement & Strategy Identify opportunities to evolve delivery practices, tooling, and frameworks Support roadmap planning with insight into capacity, dependencies, and outcomes Drive organisation wide improvements in delivery consistency and effectiveness What we're looking for Proven experience leading delivery across multiple Agile teams or complex programmes Strong leadership, coaching, and mentoring capability Deep understanding of Agile frameworks (Scrum, Kanban, Lean) and scaled environments (e.g. SAFe, LeSS, or similar) Experience delivering complex digital products in fast paced, regulated industries (e.g. fintech, gaming, e commerce) Strong stakeholder management skills with the ability to influence at a senior level Experience using delivery metrics (DORA, flow metrics, OKRs) to drive performance Ability to manage dependencies, risks, and blockers across teams Data driven mindset with a focus on continuous improvement Strong understanding of DevOps, CI/CD, and high availability delivery environments Desirable Experience with outcome based planning and delivery analytics (e.g. SEI / DORA dashboards) Background in coaching and enabling team maturity at scale Experience working across multiple domains or large scale delivery environments Familiarity with modern tooling (Jira, Confluence, Miro, Azure DevOps, Jira Align) Strong facilitation skills across cross team ceremonies and planning sessions Knowledge of regulatory and compliance requirements in industries such as gambling or fintech Experience influencing organisational change and embedding Agile culture Why apply? Play a key role in shaping delivery across a complex, modern technology landscape Influence strategy, delivery standards, and organisational maturity Work in a collaborative, forward thinking environment Drive meaningful outcomes in a regulated, high impact domain If you're ready to lead delivery at scale and drive real organisational impact, we'd love to hear from you. Apply directly online, and if your application is successful, one of the team will be in touch for a confidential discussion.
Principal Architect, Financial Services, Google Cloud, UK, Ireland Location: London, UK Experience and Expertise Advanced experience owning outcomes and decision making, solving ambiguous problems, and influencing stakeholders; deep expertise in domain. Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer facing or support role. Experience with cloud engineering, on premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Experience addressing customers from the financial services vertical. Preferred Qualifications Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security. Experience driving the entire business cycle, including defining delivery and consumption plans and transitioning them for execution. Experience building long term technical strategies to uncover new workloads with customers. Experience migrating applications and services to cloud platforms. Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing. Responsibilities Develop and own the technical account plan and strategy, participate in planning and supporting targeted sales motions. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in depth workshops. Architect cross pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase. Facilitate the post sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, provide support to cross functional teams during ramp, delivery, migration or implementation phases. About the job The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. As part of an entrepreneurial team, you will partner with technical sales teams to differentiate Google Cloud, serve as the customer's primary technical partner, troubleshoot technical roadblocks, lead proofs of concepts, demos, and engineer cross pillar cloud solutions that solve business challenges. Equal Opportunity Employer Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. We are a global company and English proficiency is a requirement for all roles unless stated otherwise.
Apr 14, 2026
Full time
Principal Architect, Financial Services, Google Cloud, UK, Ireland Location: London, UK Experience and Expertise Advanced experience owning outcomes and decision making, solving ambiguous problems, and influencing stakeholders; deep expertise in domain. Qualifications Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer facing or support role. Experience with cloud engineering, on premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Experience addressing customers from the financial services vertical. Preferred Qualifications Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security. Experience driving the entire business cycle, including defining delivery and consumption plans and transitioning them for execution. Experience building long term technical strategies to uncover new workloads with customers. Experience migrating applications and services to cloud platforms. Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing. Responsibilities Develop and own the technical account plan and strategy, participate in planning and supporting targeted sales motions. Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in depth workshops. Architect cross pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase. Facilitate the post sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. Maintain awareness of progress against the delivery plan, provide support to cross functional teams during ramp, delivery, migration or implementation phases. About the job The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. As part of an entrepreneurial team, you will partner with technical sales teams to differentiate Google Cloud, serve as the customer's primary technical partner, troubleshoot technical roadblocks, lead proofs of concepts, demos, and engineer cross pillar cloud solutions that solve business challenges. Equal Opportunity Employer Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. We are a global company and English proficiency is a requirement for all roles unless stated otherwise.
Great British Energy (GBE) is a publicly owned energy company, created to accelerate the deployment of clean energy technologies and to ensure UK taxpayers, billpayers, communities and the energy workforce reap the benefits of a clean and secure energy system. Reporting to the Chief Executive Officer, the Chief Corporate Officer (CCO) will translate GBE's strategic vision into operational excellence, ensuring the organisation is equipped to deliver on its growth and public value objectives. This includes designing and implementing a digital first operating model, driving productivity, resilience, and public trust, and embedding a culture of continuous improvement. Reporting directly to the CEO and serving as a key member of the Executive Leadership Team (ELT), the CCO leads corporate functions such as Corporate Services (IT/Estates), Data, Digital & AI, Procurement and supply chain management, and Health, Safety, Sustainability & Social Responsibility. The CCO will line manage the HR Director and work closely with the General Counsel to ensure alignment across governance, compliance, and people strategy. The CCO will champion operational excellence, commercial discipline, and digital transformation across all corporate functions, ensuring compliance, safety, sustainability, and strong stakeholder engagement. Key Responsibilities Implement the Target Operating Model (TOM) across corporate functions; set SLAs and KPIs that enable market-facing verticals to deliver outcomes efficiently. Lead the design and implementation of scalable operational processes to support rapid growth and adaptation in the evolving energy sector. Data, Digital & AI Own strategy, architecture, and secure operations; champion automation and data governance for end-to-end business processes. Drive digital transformation, leveraging technology and data analytics to improve efficiency, transparency, and innovation. Work with Divisional Managing Directors to implement the key digital enablers of their go-to-market strategies and simplified customer journies. Procurement & supply chain management Lead group procurement policies (Procurement Act/MPM alignment), contract management, and internal outsourcing strategies; support grant delivery processes where applicable. Build and manage resilient supply chains and strategic vendor partnerships (those not specific to asset development or operations), ensuring commercial discipline and value for money. Health, Safety, Sustainability & Social Responsibility (HSSR) Establish best-in-class safety management systems; embed nature-positive practices and social responsibility in operations. Ensure full compliance with health, safety, environmental, and regulatory requirements, and lead on ESG and sustainability reporting. Corporate services Oversee IT operations, estates/facilities, and enterprise platforms; ensure business continuity and cyber resilience. Governance & assurance Coordinate with Board/ELT committees; uphold standards of transparency, accountability, and public value. Represent GBE with key external stakeholders, including regulators, industry partners, and local communities. Leadership & culture Build high-performing teams; role-model GBE values; partner with the HR Director on organisation-wide change and engagement. Foster a high-performance, inclusive, and values-driven culture, mentoring and developing senior leaders across the organisation. Person Specification Essential Experience and Skills Executive leadership of complex corporate functions at scale, delivering measurable service excellence. Proven experience as a COO / CCO or senior operational leader in energy, renewables, infrastructure, or a comparable sector. Strong commercial acumen and financial literacy, with experience managing large budgets and contracts. Track record of digital transformation, data governance, and cybersecurity stewardship. Deep experience of public procurement policy and contract management. Demonstrated success in scaling operations in a fast-growth or start-up environment. Proven Health & Safety leadership and integration of sustainability principles. Deep understanding of UK and international energy markets, regulatory frameworks, and public sector governance. Exceptional leadership, change management, and communication skills, with the ability to build high-performing teams and drive organisational culture. Operating model design in matrix organisations, ideally with energy sector familiarity. International operational experience, bringing a global perspective to strategy and delivery. Experience with advanced digital transformation initiatives and data analytics. Advanced degree (e.g., MBA or MSc in Engineering, Operations, or related discipline) Qualifications: Bachelor's degree in business, engineering or related field (required). Advanced degree (MBA or equivalent) preferred. Relevant professional certifications (e.g., CIPS, NEBOSH, Prince2) are advantageous. Apply Now Click the Apply Now link below to apply for this role. You will need to submit your CV, Covering Letter and complete the equal opportunities questionnaire. To arrange a confidential conversation, please contact the Edinburgh office via or call us on . Contact the team at FWB to discuss your individual or company requirements, or to discover more about our specialist services.
Apr 13, 2026
Full time
Great British Energy (GBE) is a publicly owned energy company, created to accelerate the deployment of clean energy technologies and to ensure UK taxpayers, billpayers, communities and the energy workforce reap the benefits of a clean and secure energy system. Reporting to the Chief Executive Officer, the Chief Corporate Officer (CCO) will translate GBE's strategic vision into operational excellence, ensuring the organisation is equipped to deliver on its growth and public value objectives. This includes designing and implementing a digital first operating model, driving productivity, resilience, and public trust, and embedding a culture of continuous improvement. Reporting directly to the CEO and serving as a key member of the Executive Leadership Team (ELT), the CCO leads corporate functions such as Corporate Services (IT/Estates), Data, Digital & AI, Procurement and supply chain management, and Health, Safety, Sustainability & Social Responsibility. The CCO will line manage the HR Director and work closely with the General Counsel to ensure alignment across governance, compliance, and people strategy. The CCO will champion operational excellence, commercial discipline, and digital transformation across all corporate functions, ensuring compliance, safety, sustainability, and strong stakeholder engagement. Key Responsibilities Implement the Target Operating Model (TOM) across corporate functions; set SLAs and KPIs that enable market-facing verticals to deliver outcomes efficiently. Lead the design and implementation of scalable operational processes to support rapid growth and adaptation in the evolving energy sector. Data, Digital & AI Own strategy, architecture, and secure operations; champion automation and data governance for end-to-end business processes. Drive digital transformation, leveraging technology and data analytics to improve efficiency, transparency, and innovation. Work with Divisional Managing Directors to implement the key digital enablers of their go-to-market strategies and simplified customer journies. Procurement & supply chain management Lead group procurement policies (Procurement Act/MPM alignment), contract management, and internal outsourcing strategies; support grant delivery processes where applicable. Build and manage resilient supply chains and strategic vendor partnerships (those not specific to asset development or operations), ensuring commercial discipline and value for money. Health, Safety, Sustainability & Social Responsibility (HSSR) Establish best-in-class safety management systems; embed nature-positive practices and social responsibility in operations. Ensure full compliance with health, safety, environmental, and regulatory requirements, and lead on ESG and sustainability reporting. Corporate services Oversee IT operations, estates/facilities, and enterprise platforms; ensure business continuity and cyber resilience. Governance & assurance Coordinate with Board/ELT committees; uphold standards of transparency, accountability, and public value. Represent GBE with key external stakeholders, including regulators, industry partners, and local communities. Leadership & culture Build high-performing teams; role-model GBE values; partner with the HR Director on organisation-wide change and engagement. Foster a high-performance, inclusive, and values-driven culture, mentoring and developing senior leaders across the organisation. Person Specification Essential Experience and Skills Executive leadership of complex corporate functions at scale, delivering measurable service excellence. Proven experience as a COO / CCO or senior operational leader in energy, renewables, infrastructure, or a comparable sector. Strong commercial acumen and financial literacy, with experience managing large budgets and contracts. Track record of digital transformation, data governance, and cybersecurity stewardship. Deep experience of public procurement policy and contract management. Demonstrated success in scaling operations in a fast-growth or start-up environment. Proven Health & Safety leadership and integration of sustainability principles. Deep understanding of UK and international energy markets, regulatory frameworks, and public sector governance. Exceptional leadership, change management, and communication skills, with the ability to build high-performing teams and drive organisational culture. Operating model design in matrix organisations, ideally with energy sector familiarity. International operational experience, bringing a global perspective to strategy and delivery. Experience with advanced digital transformation initiatives and data analytics. Advanced degree (e.g., MBA or MSc in Engineering, Operations, or related discipline) Qualifications: Bachelor's degree in business, engineering or related field (required). Advanced degree (MBA or equivalent) preferred. Relevant professional certifications (e.g., CIPS, NEBOSH, Prince2) are advantageous. Apply Now Click the Apply Now link below to apply for this role. You will need to submit your CV, Covering Letter and complete the equal opportunities questionnaire. To arrange a confidential conversation, please contact the Edinburgh office via or call us on . Contact the team at FWB to discuss your individual or company requirements, or to discover more about our specialist services.
REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to 30-40% travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 13, 2026
Full time
REQ ID: FEQ227R246 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background. You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands on proof points that accelerate confidence. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification. Up to 30-40% travel to London offices and customer sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Apr 13, 2026
Full time
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Overview Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting-edge analytics. This role can be based from our Newcastle office, with hybrid working allowing for a mix of in-office and home working. Responsibilities Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high-quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. Qualifications About You: You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you!
Apr 13, 2026
Full time
Overview Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting-edge analytics. This role can be based from our Newcastle office, with hybrid working allowing for a mix of in-office and home working. Responsibilities Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high-quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. Qualifications About You: You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. If you're ready to shape the future of digital transformation in the water sector and take your career to the next level, we'd love to hear from you!
BAT is evolving at pace into a global multi-category business. Our purpose is to create A Better Tomorrow by Building a Smokeless World. To achieve our ambition, we are looking for colleagues who are ready to join us on this journey! Tomorrow can't wait, let's shape it together! BAT UK IS LOOKING FOR A TREASURY AI ASSISTANT MANAGER JOB TYPE: Permanent FUNCTION: Finance SALARY RANGE: Competitive salary package + excellent benefits + market leading bonus LOCATION: London, United Kingdom Purpose Statement As part of the Group Treasury team, the Treasury AI Assistant Manager builds, develops, implements, and governs AI-enabled capabilities that improve cash, liquidity, funding, FX, risk, and working capital operations. This role bridges treasury domain expertise with data science, machine learning (ML) engineering, and control frameworks to deliver secure, explainable, reliable, scalable and compliant automation that improves decision quality, speed, and cost-of-operations across the global treasury function. Key Accountabilities I. Operations / Professional / Business AI and Automation Solutions Delivery Design, Build, deploy, and maintain AI/ML models, agents, and automation solutions with the primary aim of improving efficiency and making better decisions across Group Treasury. Automate ingestion and normalization of multi-source data (bank statements, cash forecasts, TMS, ERP (SAP), market data). Forecasting Design and implement a cash flow forecasting solution using the most appropriate probabilistic/ML models, with scenario analysis, confidence intervals, and behavioral segmentation (e.g., customer receipts, seasonal patterns). Operational Monitoring Set up model health dashboards, tracking performance critical metrics, alerting, and incident response playbooks. Operate robust model governance and testing strategies for continuous model improvement. Data Quality & Controls Define data validation rules, reconciliation checks, and audit trails for solutions identified. Ensure explainability, documentation, and Treasury policy alignment for AI outputs used in daily operations. Security & Compliance Enforce relevant access controls and align solutions with the Group's security and compliance framework. Maintain compliance with regulatory requirements (e.g., SOX controls where applicable) and internal model risk governance. II. Management Pipeline & Prioritization: Support the ownership of the AI use cases and development pipeline tracker (business value, feasibility, risk), and prioritize pipeline with Treasury Operations, Commercial Treasury and Corporate Treasury. Vendor & Tooling Management: Evaluate and support relationships with third party software and data provides, as may be required. Budget & Performance: Assess and supervise cost of ownership for AI solutions; report return on investment, value realization, and supervise metrics. Model Lifecycle Governance: Coordinate model risk reviews as may be required; ensure proper documentation and sign offs. Policy & Standards: Maintain AI standards for treasury (data schemas, feature stores, prompt libraries, testing protocols, secure coding practices). III. Leadership Vision & Roadmap: Support to define the multi year AI roadmap for Treasury (foundational data, priority use cases, scaling plan, and risk posture). Change Leadership: Support adoption across all other treasury teams; create enablement programs and measurable adoption targets. Coaching & Capability Building: Mentor and train treasury team members in use of new solutions; establish communities of practice. Decision Enablement: Where appropriate, translate sophisticated models into management-friendly insights and narratives; recommend actions with quantified confidence and risk. Ethical AI Stewardship: Champion responsible AI principles: fairness, transparency, accountability, and human in the loop controls. IV. Relationship Partner with Global Treasury Operations, Corporate Finance and Commercial Treasury to co design and co own AI solutions. IT & Data collaboration: Work with the Group's Digital Business Solutions function to ensure scalable, secure deployments and robust data sources. External Ecosystem: Support coordination with third party suppliers, software providers, and other treasury partners, as may be required. Audit & Compliance: Liaise with Treasury Control, Business Controls, Internal Audit to ensure compliance with relevant controls and policies. Executive Communication: Ability to provide concise updates to senior treasury leadership on progress, risks, and outcomes; prepare materials for relevant Treasury and Finance committees. V. Innovation Use Case Discovery: Help identify high value use case opportunities within Group Treasury. Prototyping & Experimentation: Run pilots with clear success metrics and business outcomes; scale validated solutions. Sophisticated Methods: Apply the latest AI/ML techniques where appropriate. Human Centered Design: Build intuitive workflows, decision support dashboards, and agents that fit Treasury's needs. Benchmarking: Track industry trends and standard methodologies; add to Treasury's library of reusable prompts, features, and models. Additional information I. Context/Environment Treasury operates as a department reporting directly to the Group Head of Finance. The principal function of the Commercial Treasury team is the management of treasury activities related to the commercial and operational function of the Group. The role will be based within the Group's headquarters in central London and will report into the Treasury AI Manager. II. Knowledge, Skills & Experience Treasury & Finance Knowledge Ideally an understanding of general finance and/or treasury concepts (eg. cash management, liquidity forecasting, FX exposure & hedging, etc). Awareness of relevant treasury policies and controls (e.g., segregation of duties, approvals, SOX controls, etc) is useful. Data & AI Skills Basic knowledge of AI/LLM, ML, and/or data science concepts is crucial. Understanding of agentic AI and how it can be applied to automate processes and advise decision making. Mid-level proficiency in using a general purpose programming language - Ideally Python (with ability to use data science and ML libraries) and/or SQL. Competence in applying different machine learning models and MLOPS for the purposes of financial / treasury forecasting. Competence with data concepts (data extraction, preparation, modeling, etc)and feature engineering for treasury data. Ability to create data visualizations (Excel/Power BI/Matplotlib). Previous exposure to Microsoft tools - Co-Pilot, Fabric, Power Platform (Power Automate, Power Apps, Power BI), or SAP would be useful. Basic knowledge of API integration with interfaces to other software systems, as may be required. Governance, Risk & Compliance Ideally some experience with AL/ML model risk management, validation, documentation, and explainability. Understanding basic data privacy/security practices, audit requirements, and AI ethics frameworks. Behavioral & Leadership Skills Business storytelling: the ability to translate data into actionable treasury decisions. Partner management across Finance, IT, and external partners. Curiosity, outcome orientation, and resilience in complex environments. III. Working Relationships Central Treasury Commercial Treasury ERP Programme IDT / GBS organisation, including data analytics team and AI team Regional/Area/End-market teams Global Treasury Operations BELONGING, ACHIEVING, TOGETHER Collaboration, diversity and teamwork underpin everything we do here at BAT. We know that collaborating with colleagues from different backgrounds is what makes us stronger and best prepared to meet our business goals. Come bring your difference! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What we offer you? We offer a market leading annual performance bonus (subject to eligibility) Our range of benefits varies by country and includes diverse health plans, initiatives for work-life balance, transportation support, and a flexible holiday plan with additional incentives. Your journey with us isn't limited by boundaries; it's propelled by your aspirations. Join us at BAT and become a part of an environment that thrives on internal advancement, where your career progression isn't just a statement - it's a reality we're eager to build together. Seize the opportunity and own your development; your next chapter starts here. You'll have access to online learning platforms and personalized growth programs to nurture your leadership skills. We prioritise continuous improvement within a transformative environment, preparing for ongoing changes. WHY JOIN BAT . click apply for full job details
Apr 13, 2026
Full time
BAT is evolving at pace into a global multi-category business. Our purpose is to create A Better Tomorrow by Building a Smokeless World. To achieve our ambition, we are looking for colleagues who are ready to join us on this journey! Tomorrow can't wait, let's shape it together! BAT UK IS LOOKING FOR A TREASURY AI ASSISTANT MANAGER JOB TYPE: Permanent FUNCTION: Finance SALARY RANGE: Competitive salary package + excellent benefits + market leading bonus LOCATION: London, United Kingdom Purpose Statement As part of the Group Treasury team, the Treasury AI Assistant Manager builds, develops, implements, and governs AI-enabled capabilities that improve cash, liquidity, funding, FX, risk, and working capital operations. This role bridges treasury domain expertise with data science, machine learning (ML) engineering, and control frameworks to deliver secure, explainable, reliable, scalable and compliant automation that improves decision quality, speed, and cost-of-operations across the global treasury function. Key Accountabilities I. Operations / Professional / Business AI and Automation Solutions Delivery Design, Build, deploy, and maintain AI/ML models, agents, and automation solutions with the primary aim of improving efficiency and making better decisions across Group Treasury. Automate ingestion and normalization of multi-source data (bank statements, cash forecasts, TMS, ERP (SAP), market data). Forecasting Design and implement a cash flow forecasting solution using the most appropriate probabilistic/ML models, with scenario analysis, confidence intervals, and behavioral segmentation (e.g., customer receipts, seasonal patterns). Operational Monitoring Set up model health dashboards, tracking performance critical metrics, alerting, and incident response playbooks. Operate robust model governance and testing strategies for continuous model improvement. Data Quality & Controls Define data validation rules, reconciliation checks, and audit trails for solutions identified. Ensure explainability, documentation, and Treasury policy alignment for AI outputs used in daily operations. Security & Compliance Enforce relevant access controls and align solutions with the Group's security and compliance framework. Maintain compliance with regulatory requirements (e.g., SOX controls where applicable) and internal model risk governance. II. Management Pipeline & Prioritization: Support the ownership of the AI use cases and development pipeline tracker (business value, feasibility, risk), and prioritize pipeline with Treasury Operations, Commercial Treasury and Corporate Treasury. Vendor & Tooling Management: Evaluate and support relationships with third party software and data provides, as may be required. Budget & Performance: Assess and supervise cost of ownership for AI solutions; report return on investment, value realization, and supervise metrics. Model Lifecycle Governance: Coordinate model risk reviews as may be required; ensure proper documentation and sign offs. Policy & Standards: Maintain AI standards for treasury (data schemas, feature stores, prompt libraries, testing protocols, secure coding practices). III. Leadership Vision & Roadmap: Support to define the multi year AI roadmap for Treasury (foundational data, priority use cases, scaling plan, and risk posture). Change Leadership: Support adoption across all other treasury teams; create enablement programs and measurable adoption targets. Coaching & Capability Building: Mentor and train treasury team members in use of new solutions; establish communities of practice. Decision Enablement: Where appropriate, translate sophisticated models into management-friendly insights and narratives; recommend actions with quantified confidence and risk. Ethical AI Stewardship: Champion responsible AI principles: fairness, transparency, accountability, and human in the loop controls. IV. Relationship Partner with Global Treasury Operations, Corporate Finance and Commercial Treasury to co design and co own AI solutions. IT & Data collaboration: Work with the Group's Digital Business Solutions function to ensure scalable, secure deployments and robust data sources. External Ecosystem: Support coordination with third party suppliers, software providers, and other treasury partners, as may be required. Audit & Compliance: Liaise with Treasury Control, Business Controls, Internal Audit to ensure compliance with relevant controls and policies. Executive Communication: Ability to provide concise updates to senior treasury leadership on progress, risks, and outcomes; prepare materials for relevant Treasury and Finance committees. V. Innovation Use Case Discovery: Help identify high value use case opportunities within Group Treasury. Prototyping & Experimentation: Run pilots with clear success metrics and business outcomes; scale validated solutions. Sophisticated Methods: Apply the latest AI/ML techniques where appropriate. Human Centered Design: Build intuitive workflows, decision support dashboards, and agents that fit Treasury's needs. Benchmarking: Track industry trends and standard methodologies; add to Treasury's library of reusable prompts, features, and models. Additional information I. Context/Environment Treasury operates as a department reporting directly to the Group Head of Finance. The principal function of the Commercial Treasury team is the management of treasury activities related to the commercial and operational function of the Group. The role will be based within the Group's headquarters in central London and will report into the Treasury AI Manager. II. Knowledge, Skills & Experience Treasury & Finance Knowledge Ideally an understanding of general finance and/or treasury concepts (eg. cash management, liquidity forecasting, FX exposure & hedging, etc). Awareness of relevant treasury policies and controls (e.g., segregation of duties, approvals, SOX controls, etc) is useful. Data & AI Skills Basic knowledge of AI/LLM, ML, and/or data science concepts is crucial. Understanding of agentic AI and how it can be applied to automate processes and advise decision making. Mid-level proficiency in using a general purpose programming language - Ideally Python (with ability to use data science and ML libraries) and/or SQL. Competence in applying different machine learning models and MLOPS for the purposes of financial / treasury forecasting. Competence with data concepts (data extraction, preparation, modeling, etc)and feature engineering for treasury data. Ability to create data visualizations (Excel/Power BI/Matplotlib). Previous exposure to Microsoft tools - Co-Pilot, Fabric, Power Platform (Power Automate, Power Apps, Power BI), or SAP would be useful. Basic knowledge of API integration with interfaces to other software systems, as may be required. Governance, Risk & Compliance Ideally some experience with AL/ML model risk management, validation, documentation, and explainability. Understanding basic data privacy/security practices, audit requirements, and AI ethics frameworks. Behavioral & Leadership Skills Business storytelling: the ability to translate data into actionable treasury decisions. Partner management across Finance, IT, and external partners. Curiosity, outcome orientation, and resilience in complex environments. III. Working Relationships Central Treasury Commercial Treasury ERP Programme IDT / GBS organisation, including data analytics team and AI team Regional/Area/End-market teams Global Treasury Operations BELONGING, ACHIEVING, TOGETHER Collaboration, diversity and teamwork underpin everything we do here at BAT. We know that collaborating with colleagues from different backgrounds is what makes us stronger and best prepared to meet our business goals. Come bring your difference! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What we offer you? We offer a market leading annual performance bonus (subject to eligibility) Our range of benefits varies by country and includes diverse health plans, initiatives for work-life balance, transportation support, and a flexible holiday plan with additional incentives. Your journey with us isn't limited by boundaries; it's propelled by your aspirations. Join us at BAT and become a part of an environment that thrives on internal advancement, where your career progression isn't just a statement - it's a reality we're eager to build together. Seize the opportunity and own your development; your next chapter starts here. You'll have access to online learning platforms and personalized growth programs to nurture your leadership skills. We prioritise continuous improvement within a transformative environment, preparing for ongoing changes. WHY JOIN BAT . click apply for full job details
We are supporting the build-out of a high-impact analytics capability within a market-leading, data-driven Life Insurance intermediary. This role is for a Senior Data Analyst who combines strong analytical capability with commercial thinking and stakeholder influence. You will play a key role in shaping how data is used to drive performance across marketing, sales and customer operations. This is a highly visible role with direct impact on revenue, conversion and strategic decision-making. Key Responsibilities Own and deliver insight across key commercial areas (lead generation, conversion, retention) Identify opportunities to improve performance and drive measurable outcomes Act as a bridge between business and data engineering teams Partner with senior stakeholders to influence decision-making and strategy Design and implement analytics approaches to optimise customer journeys Lead on experimentation frameworks (A/B testing, performance measurement) Build scalable dashboards and reporting aligned to business KPIs Support development of data models, definitions and data quality, ensuring strong data governance standards Mentor junior analysts and contribute to the wider data capability Skills & Experience Profile Strong experience in a Data Analyst / Senior Data Analyst role within a commercial environment Advanced SQL and experience working with large, complex datasets Strong experience with data visualisation tools (Power BI, Tableau, etc.) Proven ability to influence stakeholders and drive business outcomes Experience delivering insight in fast-paced, performance-led environments Desirable Marketing / growth / sales analytics experience Background in insurance, financial services or high-volume B2C businesses Experience with experimentation and optimisation frameworks Python / R or exposure to advanced analytics Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery) Additional Information Salary£65,000 - £75,000 (based on experience) + benefits package Location: Hybrid working with onsite travel tothe office in Berkshire. Candidates must have the right to work andresidein the UK.
Apr 13, 2026
Full time
We are supporting the build-out of a high-impact analytics capability within a market-leading, data-driven Life Insurance intermediary. This role is for a Senior Data Analyst who combines strong analytical capability with commercial thinking and stakeholder influence. You will play a key role in shaping how data is used to drive performance across marketing, sales and customer operations. This is a highly visible role with direct impact on revenue, conversion and strategic decision-making. Key Responsibilities Own and deliver insight across key commercial areas (lead generation, conversion, retention) Identify opportunities to improve performance and drive measurable outcomes Act as a bridge between business and data engineering teams Partner with senior stakeholders to influence decision-making and strategy Design and implement analytics approaches to optimise customer journeys Lead on experimentation frameworks (A/B testing, performance measurement) Build scalable dashboards and reporting aligned to business KPIs Support development of data models, definitions and data quality, ensuring strong data governance standards Mentor junior analysts and contribute to the wider data capability Skills & Experience Profile Strong experience in a Data Analyst / Senior Data Analyst role within a commercial environment Advanced SQL and experience working with large, complex datasets Strong experience with data visualisation tools (Power BI, Tableau, etc.) Proven ability to influence stakeholders and drive business outcomes Experience delivering insight in fast-paced, performance-led environments Desirable Marketing / growth / sales analytics experience Background in insurance, financial services or high-volume B2C businesses Experience with experimentation and optimisation frameworks Python / R or exposure to advanced analytics Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery) Additional Information Salary£65,000 - £75,000 (based on experience) + benefits package Location: Hybrid working with onsite travel tothe office in Berkshire. Candidates must have the right to work andresidein the UK.
Data Engineering & Infrastructure Lead (Contract) La Fosse are recruiting an experiencedData Engineering & Infrastructure Lead (Manager)to join a major consumer brand on an initial6-month contract.This is a high-impact role leading a highly-skilled team of data professionals across engineering and data platform disciplines, delering a range of critical data initiatives for the business. The role requires 1 day per week on-site in Manchester and the remainder remote. The role: You'll take ownership of delivering key data engineering and data platform initiatives while providing technical leadership across a sizeable engineering function. This includes ensuring the stability, scalability, and 24/7 operation of a production data environment. Key Responsibilities Lead and manage a multi-disciplinary data team, including a Data Engineers and Data Platform Engineers Ensure high-quality, timely delivery across all data engineering activities Collaborate with project managers, delivery leads, and business stakeholders to align with priorities Oversee delivery of major initiatives, including: Database upgrade/migration Lakehouse Analytics Platform build and ongoing operation Contribute to portfolio planning, representing team capacity and technical direction Define and implement engineering standards and operational processes Own and manage the backlog for data platform engineering work Key Skills & Experience Expertise inMS SQL Server,AWS EC2, andSnowflake Strong working knowledge of modern data technology, preferabelyAirflow,SSIS,dbt, andAzure DevOps or Jira Proven experience leading and scaling technical teams Strong stakeholder management and delivery oversight skills This is a fantastic opportunity to shape and deliver large-scale data initiatives within a well-established, dynamic and fast-moving organisation. Start date: April 2026
Apr 13, 2026
Full time
Data Engineering & Infrastructure Lead (Contract) La Fosse are recruiting an experiencedData Engineering & Infrastructure Lead (Manager)to join a major consumer brand on an initial6-month contract.This is a high-impact role leading a highly-skilled team of data professionals across engineering and data platform disciplines, delering a range of critical data initiatives for the business. The role requires 1 day per week on-site in Manchester and the remainder remote. The role: You'll take ownership of delivering key data engineering and data platform initiatives while providing technical leadership across a sizeable engineering function. This includes ensuring the stability, scalability, and 24/7 operation of a production data environment. Key Responsibilities Lead and manage a multi-disciplinary data team, including a Data Engineers and Data Platform Engineers Ensure high-quality, timely delivery across all data engineering activities Collaborate with project managers, delivery leads, and business stakeholders to align with priorities Oversee delivery of major initiatives, including: Database upgrade/migration Lakehouse Analytics Platform build and ongoing operation Contribute to portfolio planning, representing team capacity and technical direction Define and implement engineering standards and operational processes Own and manage the backlog for data platform engineering work Key Skills & Experience Expertise inMS SQL Server,AWS EC2, andSnowflake Strong working knowledge of modern data technology, preferabelyAirflow,SSIS,dbt, andAzure DevOps or Jira Proven experience leading and scaling technical teams Strong stakeholder management and delivery oversight skills This is a fantastic opportunity to shape and deliver large-scale data initiatives within a well-established, dynamic and fast-moving organisation. Start date: April 2026
We are a dynamic consulting firm, focused on delivering sustainable change. We make sure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves in being proactive, collaborative, and straightforward team players. We like to move fast as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will stretch you and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We don't do politics, egos, or personal agendas - it consumes too much time and distracts us from being successful together. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Healthcare at Moorhouse OurHealth & Care sectorplays a central role in designing and delivering transformation across the NHS. We work with organisations across the UK health system, including national bodies, ICSs and providers to solve their most critical challenges - including improving operational performance, redesigning care pathways, delivering digital and data enabled transformation, and defining operating models and supporting organisation wide change. We combine national-level strategy experience with hands-on delivery in provider settings, focusing on three core areas aligned to NHS 10-year plan priorities: Health Service Optimisation: Operational, performance and financial improvementacross acute, community and primary care settings. Digital, Data and AI transformation:to support improved decision-making, productivity and performance improvement across care systems. Health System Strategy and Design: Commissioning and system strategy and design, helping ICSs and national bodies redesign care pathways, allocate resources effectively, and drive system-wide transformation. We have long-standing partnerships with many of the largest NHS organisations on programmes ranging from system wide change to targeted improvement work, helping them maximise value, strengthen resilience and improve outcomes for patients and populations. Responsibilities Why join the Health & Care team at Moorhouse? Our Health & Care team brings together former NHS operational leaders, clinicians, NHS change experts and a highly skilled data and digital function within the wider business. We operate as an integrated, multidisciplinary team - combining strengths in data governance, analytics, data science, data engineering with deep health expertise - so you will be supported by specialists to broaden your technical expertise through NHS delivery experience. Our delivery led consulting model means we work shoulder to shoulder with client teams, embedding ourselves into their teams to deliver measurable impact rather than solely producing recommendations from afar. We are seeking aManagerto help contribute to and grow our Health & Care consulting portfolio, taking full responsibility of data-forward engagements, shaping our go-to-market propositions, and contributing directly to the strategic direction of the practice. This role combines hands-on delivery with the opportunity to innovate, build client relationships, and influence the future of how Moorhouse partners with the NHS. Through this role, you will have the opportunity to: Lead and shape high-impact transformation programmes- deliver innovative, strategically significant programmes for NHS commissioners and providers that improve outcomes, system performance, and value for money. Learn from a highly experienced team of consultantswith deep expertise in healthcare and years of experience shaping, selling and delivering consulting services across the NHS. Take ownership of delivery with support - take ownership for end-to-end project delivery, client relationships, and team leadership, with support and sponsorship from our senior leadership team. Develop your market profile - contribute to thought leadership and sector strategy, helping shape how Moorhouse partners with the NHS and the wider system. Support the development ofour Health & Care propositions- develop go-to-market offers that respond to system challenges, regulatory priorities, and emerging technologies. Contribute to business growth- identify and develop new opportunities, nurture client relationships, originate and lead bids that expand our project and client base. The opportunity for accelerated career progression is based on performance and impact, not tenure. Support and develop others - lead delivery teams and act as a line manager to junior members of the team, helping develop our people as well as our business. Join a people-first community- be part of a supportive, ambitious and connected team that values fun, collaboration and wellbeing, with regular socials, regular strategy half day events and quarterly Moorhouse "escapes". Essential skills What are we looking for? We are seeking a Manager with strong health data capability who can blend analytical expertise with broader consulting delivery. Candidates should bring 6-8 years' experience in healthcare consulting or NHS leadership, with demonstrable impact using data to shape decision making and improve performance. The experience you will bring: Strong NHS data literacy,with hands onexperience analysing and interpreting core datasetssuch as SUS, HES, RTT, A&E, workforce and theatre utilisation data, and using theseto inform operational and strategic decision making Ability totranslate complex data into clear, actionable insights, producing compelling dashboards, visualisations and evidencebased narrativesthat support business planning, performance improvement and system level transformation. Experienceapplying data within broader transformation contexts(e.g., PMO, operating model design, provider improvement), demonstrating flexibility beyond pure technical analytics. Workingknowledge of NHS digital and performance systems, including their practical implementation challenges and how they support operational delivery across providers and ICSs. Comfortleading mixed discipline teams on data enabled change programmes, combining analytical leadership with strong stakeholder engagement and programme delivery capability. Ability toshape datadriven propositions, contributing to go to market offerings, developing approaches that respond to system priorities, and bringing a credible data perspective into bids and client conversations. Ability to operate fluidly between detailed analysis and wider programme delivery, ensuring data strengthens the team's impact across our NHS engagements. Leadership and Delivery; Strongprogramme deliveryand transformation capability, with experience managing multidisciplinary teams and multiple stakeholders. Strongcommercial and business developmentacumen, including building long-term relationships, identifying new opportunities, and leading bid development. Astrategic thinkerwho can move between big-picture system challenges and detailed delivery issues. Someone who is proactive, comfortable working independently and collaboratively, and takes ownership of outcomes, and actively contributes to the growth of our Health & Care practice. You don't need to meet every requirement to apply. If your experience aligns with most of the criteria and you're interested in the role, we'd encourage you to apply. What we can offer you: A total cash package up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox Enhanced family-friendly package: generous parental pay, flexible working options, and paid time off for family commitments so you can balance work and home life with confidence. Inclusive Culture and Community: a wide range of employee resource groups that encourage collaboration, peer support and offer learning and education opportunities across the business and create a strong sense of belonging across the business. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. . click apply for full job details
Apr 13, 2026
Full time
We are a dynamic consulting firm, focused on delivering sustainable change. We make sure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves in being proactive, collaborative, and straightforward team players. We like to move fast as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will stretch you and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We don't do politics, egos, or personal agendas - it consumes too much time and distracts us from being successful together. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Healthcare at Moorhouse OurHealth & Care sectorplays a central role in designing and delivering transformation across the NHS. We work with organisations across the UK health system, including national bodies, ICSs and providers to solve their most critical challenges - including improving operational performance, redesigning care pathways, delivering digital and data enabled transformation, and defining operating models and supporting organisation wide change. We combine national-level strategy experience with hands-on delivery in provider settings, focusing on three core areas aligned to NHS 10-year plan priorities: Health Service Optimisation: Operational, performance and financial improvementacross acute, community and primary care settings. Digital, Data and AI transformation:to support improved decision-making, productivity and performance improvement across care systems. Health System Strategy and Design: Commissioning and system strategy and design, helping ICSs and national bodies redesign care pathways, allocate resources effectively, and drive system-wide transformation. We have long-standing partnerships with many of the largest NHS organisations on programmes ranging from system wide change to targeted improvement work, helping them maximise value, strengthen resilience and improve outcomes for patients and populations. Responsibilities Why join the Health & Care team at Moorhouse? Our Health & Care team brings together former NHS operational leaders, clinicians, NHS change experts and a highly skilled data and digital function within the wider business. We operate as an integrated, multidisciplinary team - combining strengths in data governance, analytics, data science, data engineering with deep health expertise - so you will be supported by specialists to broaden your technical expertise through NHS delivery experience. Our delivery led consulting model means we work shoulder to shoulder with client teams, embedding ourselves into their teams to deliver measurable impact rather than solely producing recommendations from afar. We are seeking aManagerto help contribute to and grow our Health & Care consulting portfolio, taking full responsibility of data-forward engagements, shaping our go-to-market propositions, and contributing directly to the strategic direction of the practice. This role combines hands-on delivery with the opportunity to innovate, build client relationships, and influence the future of how Moorhouse partners with the NHS. Through this role, you will have the opportunity to: Lead and shape high-impact transformation programmes- deliver innovative, strategically significant programmes for NHS commissioners and providers that improve outcomes, system performance, and value for money. Learn from a highly experienced team of consultantswith deep expertise in healthcare and years of experience shaping, selling and delivering consulting services across the NHS. Take ownership of delivery with support - take ownership for end-to-end project delivery, client relationships, and team leadership, with support and sponsorship from our senior leadership team. Develop your market profile - contribute to thought leadership and sector strategy, helping shape how Moorhouse partners with the NHS and the wider system. Support the development ofour Health & Care propositions- develop go-to-market offers that respond to system challenges, regulatory priorities, and emerging technologies. Contribute to business growth- identify and develop new opportunities, nurture client relationships, originate and lead bids that expand our project and client base. The opportunity for accelerated career progression is based on performance and impact, not tenure. Support and develop others - lead delivery teams and act as a line manager to junior members of the team, helping develop our people as well as our business. Join a people-first community- be part of a supportive, ambitious and connected team that values fun, collaboration and wellbeing, with regular socials, regular strategy half day events and quarterly Moorhouse "escapes". Essential skills What are we looking for? We are seeking a Manager with strong health data capability who can blend analytical expertise with broader consulting delivery. Candidates should bring 6-8 years' experience in healthcare consulting or NHS leadership, with demonstrable impact using data to shape decision making and improve performance. The experience you will bring: Strong NHS data literacy,with hands onexperience analysing and interpreting core datasetssuch as SUS, HES, RTT, A&E, workforce and theatre utilisation data, and using theseto inform operational and strategic decision making Ability totranslate complex data into clear, actionable insights, producing compelling dashboards, visualisations and evidencebased narrativesthat support business planning, performance improvement and system level transformation. Experienceapplying data within broader transformation contexts(e.g., PMO, operating model design, provider improvement), demonstrating flexibility beyond pure technical analytics. Workingknowledge of NHS digital and performance systems, including their practical implementation challenges and how they support operational delivery across providers and ICSs. Comfortleading mixed discipline teams on data enabled change programmes, combining analytical leadership with strong stakeholder engagement and programme delivery capability. Ability toshape datadriven propositions, contributing to go to market offerings, developing approaches that respond to system priorities, and bringing a credible data perspective into bids and client conversations. Ability to operate fluidly between detailed analysis and wider programme delivery, ensuring data strengthens the team's impact across our NHS engagements. Leadership and Delivery; Strongprogramme deliveryand transformation capability, with experience managing multidisciplinary teams and multiple stakeholders. Strongcommercial and business developmentacumen, including building long-term relationships, identifying new opportunities, and leading bid development. Astrategic thinkerwho can move between big-picture system challenges and detailed delivery issues. Someone who is proactive, comfortable working independently and collaboratively, and takes ownership of outcomes, and actively contributes to the growth of our Health & Care practice. You don't need to meet every requirement to apply. If your experience aligns with most of the criteria and you're interested in the role, we'd encourage you to apply. What we can offer you: A total cash package up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox Enhanced family-friendly package: generous parental pay, flexible working options, and paid time off for family commitments so you can balance work and home life with confidence. Inclusive Culture and Community: a wide range of employee resource groups that encourage collaboration, peer support and offer learning and education opportunities across the business and create a strong sense of belonging across the business. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. . click apply for full job details
Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Smarsh is the world's leading provider of intelligence on sensitive communications for regulated industries. Global banks, insurers, and enterprises rely on Smarsh to detect risk, reduce noise, uncover insights, and apply compliant AI at scale. Our AI/ML platform integrates audio analytics, speech to text, OCR, translation, classification, and language identification to power supervision, surveillance, investigations, and next generation GenAI enabled workflows. The AI Analytics capabilities and AI/ML models serve as core platform services used by every Smarsh product. Ensuring that the MLOps and Agentic infrastructure is robust and scalable while aligned with technology landscape is of strategic importance to the company. Role Overview We are seeking a product leader to own MLOps and Agentic strategy for Smarsh's Analytics Platform. Models are proliferating faster than the infrastructure to govern them, and agentic workflows are moving from proof of concept to production with real money, real customers, and real regulatory scrutiny on the line. This is not a role for someone who thinks about MLOps and agent frameworks separately. We need a product leader who sees them as two sides of the same coin: the platform that governs how models are built, deployed, and monitored, and the orchestration layer that determines how those models act autonomously on behalf of our business and customers. As an Individual Contributor Director, you will operate with the seniority and strategic authority of a Director while remaining deeply embedded in the work of shaping roadmaps, influencing architecture, and driving adoption across engineering, risk, compliance, and business stakeholders. You will report directly to the VP of Product and own one of the most consequential product domains in our AI strategy. How will you contribute? MLOps Platform Strategy Define and socialize the multi year MLOps platform roadmap, spanning model training, evaluation, deployment, monitoring, and retirement across global regions Architect product solutions for multi region model inference with data residency constraints - ensuring our models operate compliantly across jurisdictions without sacrificing performance Drive model observability and drift detection capabilities from concept to adoption, in partnership with Data Science and Engineering Own the vendor and tooling strategy across the MLOps stack evaluating build vs. buy tradeoffs with a clear lens on total cost of ownership and compliance posture Agent Frameworks & Orchestration Publish the Agent Framework Reference Architecture efining how autonomous and semi autonomous agents are designed, tested, and deployed within a regulated FinServ environment Lead product strategy for agentic workflow reliability, including human in the loop design patterns, tool use governance, and failure mode handling Define and document the Bring Your Own Model establishing how the organization governs the introduction of external models and custom prompts while maintaining auditability and control Translate emerging agent framework patterns (e.g., multi agent orchestration, RAG pipelines, memory and context management) into concrete product requirements and phased delivery plans Model Governance & Risk Champion model governance as a product capability not a compliance checkbox by embedding risk controls directly into the platform so teams can move fast within guardrails Drive adoption of the Model Governance Framework with Model Risk Management (MRM) teams, ensuring our AI systems meet regulatory expectations across all deployment regions Define meaningful KPIs and observability standards that allow risk and compliance teams to assess model health without becoming a bottleneck to innovation Develop and maintain a model risk taxonomy that scales across foundation models, fine tuned models, and agentic systems Stakeholder Influence & Alignment Partner with Applied ML, Engineering, Product, Finance, and Procurement to ensure alignment on strategy, performance, and cost. Represent the MLOps and Agent Frameworks product domain to senior leadership, translating complex technical tradeoffs into strategic narratives that drive decision making Establish and govern the product council or working group that coordinates AI platform decisions across business units and geographies Collaborate with product teams to embed analytics consistently into their workflows. What will you bring? About You You combine technical depth with strong commercial judgment, and thrive in a role that demands rigor, clarity, and cross functional influence. You understand the AI/ML ecosystem. You are highly collaborative and able to work across multiple product teams, engineering, Applied ML, and go to market stakeholders. You bring customers' needs and competitive pressure into your product thinking, and you excel in environments where build vs. buy decisions shape long term strategy. Required 8+ years of product management experience, with at least 3 years focused on ML infrastructure, MLOps platforms, or AI/ML product strategy Experience partnering directly with Data Science/Applied ML and Engineering teams. Demonstrated experience shipping ML platform or AI infrastructure products in a regulated industry - financial services, healthcare, or similarly complex environments strongly preferred Hands on experience/ strong familiarity with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) and the ability to evaluate them critically as a product strategist Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and the architectural tradeoffs they represent Demonstrated experience managing build vs. buy decisions or large scale vendor evaluations. Excellent communication skills and ability to work across product, engineering, and commercial teams. Willingness to support deal cycles with competitive insights and analytics expertise. Strong Pluses Experience with regulated industries or enterprise SaaS. Engineering or data science background Ability to engage credibly in architecture reviews - you do not need to write the code, but you need to understand the implications of the decisions being made Fluency in data residency concepts, multi region cloud deployment patterns, and the engineering complexity they introduce for global AI products Understanding of model risk management (MRM) frameworks and how they apply to modern ML and LLM systems in financial services Comfort with ambiguity in emerging areas - Bring your own model strategy, agentic reliability, and multi agent orchestration are fields where the playbook is still being written What do we offer? Bonus Private Health Insurance Enhanced Assistance Program Employee Dental Plan Group Life Assurance (GLA) Wellness Reimbursement Pension employer match Internet Allowance Stock options £0 - £0 a year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self select out of the interview process prematurely, at Smarsh we encourage an inclusive, high performing environment. Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
Apr 13, 2026
Full time
Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Smarsh is the world's leading provider of intelligence on sensitive communications for regulated industries. Global banks, insurers, and enterprises rely on Smarsh to detect risk, reduce noise, uncover insights, and apply compliant AI at scale. Our AI/ML platform integrates audio analytics, speech to text, OCR, translation, classification, and language identification to power supervision, surveillance, investigations, and next generation GenAI enabled workflows. The AI Analytics capabilities and AI/ML models serve as core platform services used by every Smarsh product. Ensuring that the MLOps and Agentic infrastructure is robust and scalable while aligned with technology landscape is of strategic importance to the company. Role Overview We are seeking a product leader to own MLOps and Agentic strategy for Smarsh's Analytics Platform. Models are proliferating faster than the infrastructure to govern them, and agentic workflows are moving from proof of concept to production with real money, real customers, and real regulatory scrutiny on the line. This is not a role for someone who thinks about MLOps and agent frameworks separately. We need a product leader who sees them as two sides of the same coin: the platform that governs how models are built, deployed, and monitored, and the orchestration layer that determines how those models act autonomously on behalf of our business and customers. As an Individual Contributor Director, you will operate with the seniority and strategic authority of a Director while remaining deeply embedded in the work of shaping roadmaps, influencing architecture, and driving adoption across engineering, risk, compliance, and business stakeholders. You will report directly to the VP of Product and own one of the most consequential product domains in our AI strategy. How will you contribute? MLOps Platform Strategy Define and socialize the multi year MLOps platform roadmap, spanning model training, evaluation, deployment, monitoring, and retirement across global regions Architect product solutions for multi region model inference with data residency constraints - ensuring our models operate compliantly across jurisdictions without sacrificing performance Drive model observability and drift detection capabilities from concept to adoption, in partnership with Data Science and Engineering Own the vendor and tooling strategy across the MLOps stack evaluating build vs. buy tradeoffs with a clear lens on total cost of ownership and compliance posture Agent Frameworks & Orchestration Publish the Agent Framework Reference Architecture efining how autonomous and semi autonomous agents are designed, tested, and deployed within a regulated FinServ environment Lead product strategy for agentic workflow reliability, including human in the loop design patterns, tool use governance, and failure mode handling Define and document the Bring Your Own Model establishing how the organization governs the introduction of external models and custom prompts while maintaining auditability and control Translate emerging agent framework patterns (e.g., multi agent orchestration, RAG pipelines, memory and context management) into concrete product requirements and phased delivery plans Model Governance & Risk Champion model governance as a product capability not a compliance checkbox by embedding risk controls directly into the platform so teams can move fast within guardrails Drive adoption of the Model Governance Framework with Model Risk Management (MRM) teams, ensuring our AI systems meet regulatory expectations across all deployment regions Define meaningful KPIs and observability standards that allow risk and compliance teams to assess model health without becoming a bottleneck to innovation Develop and maintain a model risk taxonomy that scales across foundation models, fine tuned models, and agentic systems Stakeholder Influence & Alignment Partner with Applied ML, Engineering, Product, Finance, and Procurement to ensure alignment on strategy, performance, and cost. Represent the MLOps and Agent Frameworks product domain to senior leadership, translating complex technical tradeoffs into strategic narratives that drive decision making Establish and govern the product council or working group that coordinates AI platform decisions across business units and geographies Collaborate with product teams to embed analytics consistently into their workflows. What will you bring? About You You combine technical depth with strong commercial judgment, and thrive in a role that demands rigor, clarity, and cross functional influence. You understand the AI/ML ecosystem. You are highly collaborative and able to work across multiple product teams, engineering, Applied ML, and go to market stakeholders. You bring customers' needs and competitive pressure into your product thinking, and you excel in environments where build vs. buy decisions shape long term strategy. Required 8+ years of product management experience, with at least 3 years focused on ML infrastructure, MLOps platforms, or AI/ML product strategy Experience partnering directly with Data Science/Applied ML and Engineering teams. Demonstrated experience shipping ML platform or AI infrastructure products in a regulated industry - financial services, healthcare, or similarly complex environments strongly preferred Hands on experience/ strong familiarity with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) and the ability to evaluate them critically as a product strategist Working knowledge of LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and the architectural tradeoffs they represent Demonstrated experience managing build vs. buy decisions or large scale vendor evaluations. Excellent communication skills and ability to work across product, engineering, and commercial teams. Willingness to support deal cycles with competitive insights and analytics expertise. Strong Pluses Experience with regulated industries or enterprise SaaS. Engineering or data science background Ability to engage credibly in architecture reviews - you do not need to write the code, but you need to understand the implications of the decisions being made Fluency in data residency concepts, multi region cloud deployment patterns, and the engineering complexity they introduce for global AI products Understanding of model risk management (MRM) frameworks and how they apply to modern ML and LLM systems in financial services Comfort with ambiguity in emerging areas - Bring your own model strategy, agentic reliability, and multi agent orchestration are fields where the playbook is still being written What do we offer? Bonus Private Health Insurance Enhanced Assistance Program Employee Dental Plan Group Life Assurance (GLA) Wellness Reimbursement Pension employer match Internet Allowance Stock options £0 - £0 a year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self select out of the interview process prematurely, at Smarsh we encourage an inclusive, high performing environment. Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
