Overview Insight Investment is looking for a Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in delivering our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using an Agile approach to deliver solutions on top of our Cloud Platform, starting with Snowflake as a foundational component we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the secure system development life cycle (S-SDLC). This role contributes to shaping Insight's Enterprise Architecture. You'll work across application and data domains to ensure delivery aligns with strategic architecture principles, supports governance, and enables scalable, secure, and compliant solutions. Role Responsibilities Define and continuously evolve the architectural vision for our Data Platform, ensuring it is scalable, resilient, and aligned with our enterprise-wide data strategy and long-term platform goals Representing the architectural perspective to integrate our Data Platform with our broader cloud estate. Advocate for seamless interoperability with wider applications and data flows and governance across the organisation. Implement enterprise-wide Data and Master Data Management practices to ensure data integrity, quality, and compliance across the platform. Maintain consistent, trusted master data and support architectural decisions that promote data governance and regulatory standards. Promote system and human access to data through well-governed, secure, and scalable mechanisms. Design access controls and metadata strategies that support democratised data usage while safeguarding privacy and security. Champion cost-aware architectural strategies that optimise resource utilisation, striking an effective balance between performance and budget. Oversee platform enhancements, integrations, and performance optimisation efforts. Ensure that all changes align with internal privacy, security, and compliance policies. Collaborate with business and technology stakeholders to understand evolving requirements and translate them into scalable, secure, and future-proof platform capabilities. Facilitate the onboarding of new data domains and analytical use cases. Ensure that all additions adhere to platform standards and contribute to the platform's maturity and strategic value. Advocate for excellence in metadata management, data quality, and access control. Foster a culture of continuous improvement and innovation across the technology teams and wider enterprise. Identify and support the reduction of our legacy technology estate. Experience Required Proven expertise in architecting and scaling data platforms using Snowflake, seamlessly integrated with Microsoft Azure. Deep understanding of modern data architectures, including Data Mesh, Data Fabric, Lakehouse, and ELT patterns. Familiar with data governance frameworks such as DCAM or equivalent, ensuring compliance and data stewardship. Can assess how architectural decisions impact business outcomes, platform performance and cost efficiency. Hands-on experience with Infrastructure-as-Code tools in Azure, particularly Terraform. Proficient in implementing CI/CD pipelines to support automated and reliable deployments. Strong grasp of Agile methodologies, with a track record of delivering iteratively in cross-functional teams. Demonstrates initiative and autonomy in solving complex technical challenges. Communicates abstract and complex concepts clearly to both technical and non-technical audiences. Committed to software engineering best practices, with a focus on quality, maintainability, and correctness. Collaborates effectively with stakeholders, end users, and team members, fostering a culture of shared ownership. Actively pursues continuous learning, driving the adoption of innovative technologies and approaches. Takes ownership of mistakes, works collaboratively to resolve issues, and implements long-term improvements based on lessons learned. Desired Skills Exposure to financial services or regulated environments is advantageous but not essential. Docker / Snowpark container services Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Dec 16, 2025
Full time
Overview Insight Investment is looking for a Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in delivering our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using an Agile approach to deliver solutions on top of our Cloud Platform, starting with Snowflake as a foundational component we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the secure system development life cycle (S-SDLC). This role contributes to shaping Insight's Enterprise Architecture. You'll work across application and data domains to ensure delivery aligns with strategic architecture principles, supports governance, and enables scalable, secure, and compliant solutions. Role Responsibilities Define and continuously evolve the architectural vision for our Data Platform, ensuring it is scalable, resilient, and aligned with our enterprise-wide data strategy and long-term platform goals Representing the architectural perspective to integrate our Data Platform with our broader cloud estate. Advocate for seamless interoperability with wider applications and data flows and governance across the organisation. Implement enterprise-wide Data and Master Data Management practices to ensure data integrity, quality, and compliance across the platform. Maintain consistent, trusted master data and support architectural decisions that promote data governance and regulatory standards. Promote system and human access to data through well-governed, secure, and scalable mechanisms. Design access controls and metadata strategies that support democratised data usage while safeguarding privacy and security. Champion cost-aware architectural strategies that optimise resource utilisation, striking an effective balance between performance and budget. Oversee platform enhancements, integrations, and performance optimisation efforts. Ensure that all changes align with internal privacy, security, and compliance policies. Collaborate with business and technology stakeholders to understand evolving requirements and translate them into scalable, secure, and future-proof platform capabilities. Facilitate the onboarding of new data domains and analytical use cases. Ensure that all additions adhere to platform standards and contribute to the platform's maturity and strategic value. Advocate for excellence in metadata management, data quality, and access control. Foster a culture of continuous improvement and innovation across the technology teams and wider enterprise. Identify and support the reduction of our legacy technology estate. Experience Required Proven expertise in architecting and scaling data platforms using Snowflake, seamlessly integrated with Microsoft Azure. Deep understanding of modern data architectures, including Data Mesh, Data Fabric, Lakehouse, and ELT patterns. Familiar with data governance frameworks such as DCAM or equivalent, ensuring compliance and data stewardship. Can assess how architectural decisions impact business outcomes, platform performance and cost efficiency. Hands-on experience with Infrastructure-as-Code tools in Azure, particularly Terraform. Proficient in implementing CI/CD pipelines to support automated and reliable deployments. Strong grasp of Agile methodologies, with a track record of delivering iteratively in cross-functional teams. Demonstrates initiative and autonomy in solving complex technical challenges. Communicates abstract and complex concepts clearly to both technical and non-technical audiences. Committed to software engineering best practices, with a focus on quality, maintainability, and correctness. Collaborates effectively with stakeholders, end users, and team members, fostering a culture of shared ownership. Actively pursues continuous learning, driving the adoption of innovative technologies and approaches. Takes ownership of mistakes, works collaboratively to resolve issues, and implements long-term improvements based on lessons learned. Desired Skills Exposure to financial services or regulated environments is advantageous but not essential. Docker / Snowpark container services Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Machine Learning Operations Engineer 11328SR1 £40k - 65k per year Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Dec 15, 2025
Full time
Machine Learning Operations Engineer 11328SR1 £40k - 65k per year Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Overview Insight Investment is looking for a Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in delivering our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using an Agile approach to deliver solutions on top of our Cloud Platform, starting with Snowflake as a foundational component we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the secure system development life cycle (S-SDLC). This role contributes to shaping Insight's Enterprise Architecture. You'll work across application and data domains to ensure delivery aligns with strategic architecture principles, supports governance, and enables scalable, secure, and compliant solutions. Role Responsibilities Define and continuously evolve the architectural vision for our Data Platform, ensuring it is scalable, resilient, and aligned with our enterprise-wide data strategy and long-term platform goals Representing the architectural perspective to integrate our Data Platform with our broader cloud estate. Advocate for seamless interoperability with wider applications and data flows and governance across the organisation. Implement enterprise-wide Data and Master Data Management practices to ensure data integrity, quality, and compliance across the platform. Maintain consistent, trusted master data and support architectural decisions that promote data governance and regulatory standards. Promote system and human access to data through well-governed, secure, and scalable mechanisms. Design access controls and metadata strategies that support democratised data usage while safeguarding privacy and security. Champion cost-aware architectural strategies that optimise resource utilisation, striking an effective balance between performance and budget. Oversee platform enhancements, integrations, and performance optimisation efforts. Ensure that all changes align with internal privacy, security, and compliance policies. Collaborate with business and technology stakeholders to understand evolving requirements and translate them into scalable, secure, and future-proof platform capabilities. Facilitate the onboarding of new data domains and analytical use cases. Ensure that all additions adhere to platform standards and contribute to the platform's maturity and strategic value. Advocate for excellence in metadata management, data quality, and access control. Foster a culture of continuous improvement and innovation across the technology teams and wider enterprise. Identify and support the reduction of our legacy technology estate. Experience Required Proven expertise in architecting and scaling data platforms using Snowflake, seamlessly integrated with Microsoft Azure. Deep understanding of modern data architectures, including Data Mesh, Data Fabric, Lakehouse, and ELT patterns. Familiar with data governance frameworks such as DCAM or equivalent, ensuring compliance and data stewardship. Can assess how architectural decisions impact business outcomes, platform performance and cost efficiency. Hands-on experience with Infrastructure-as-Code tools in Azure, particularly Terraform. Proficient in implementing CI/CD pipelines to support automated and reliable deployments. Strong grasp of Agile methodologies, with a track record of delivering iteratively in cross-functional teams. Demonstrates initiative and autonomy in solving complex technical challenges. Communicates abstract and complex concepts clearly to both technical and non-technical audiences. Committed to software engineering best practices, with a focus on quality, maintainability, and correctness. Collaborates effectively with stakeholders, end users, and team members, fostering a culture of shared ownership. Actively pursues continuous learning, driving the adoption of innovative technologies and approaches. Takes ownership of mistakes, works collaboratively to resolve issues, and implements long-term improvements based on lessons learned. Desired Skills Exposure to financial services or regulated environments is advantageous but not essential. Docker / Snowpark container services Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
Dec 12, 2025
Full time
Overview Insight Investment is looking for a Data Platform Architect to join our growing team building our strategic data platform as we look to adopt best in class data governance and democratise data around the business. The successful candidate will play a pivotal role in delivering our data strategy, leveraging our data assets to the full, elevating our decision-making, streamlining processes, and drive innovation within our organisation. You will be part of the long-standing Data Platform team using an Agile approach to deliver solutions on top of our Cloud Platform, starting with Snowflake as a foundational component we will look to integrate other technologies and grow capability to meet the demands of the business. You will work closely with a variety of business areas and be involved in all aspects of the secure system development life cycle (S-SDLC). This role contributes to shaping Insight's Enterprise Architecture. You'll work across application and data domains to ensure delivery aligns with strategic architecture principles, supports governance, and enables scalable, secure, and compliant solutions. Role Responsibilities Define and continuously evolve the architectural vision for our Data Platform, ensuring it is scalable, resilient, and aligned with our enterprise-wide data strategy and long-term platform goals Representing the architectural perspective to integrate our Data Platform with our broader cloud estate. Advocate for seamless interoperability with wider applications and data flows and governance across the organisation. Implement enterprise-wide Data and Master Data Management practices to ensure data integrity, quality, and compliance across the platform. Maintain consistent, trusted master data and support architectural decisions that promote data governance and regulatory standards. Promote system and human access to data through well-governed, secure, and scalable mechanisms. Design access controls and metadata strategies that support democratised data usage while safeguarding privacy and security. Champion cost-aware architectural strategies that optimise resource utilisation, striking an effective balance between performance and budget. Oversee platform enhancements, integrations, and performance optimisation efforts. Ensure that all changes align with internal privacy, security, and compliance policies. Collaborate with business and technology stakeholders to understand evolving requirements and translate them into scalable, secure, and future-proof platform capabilities. Facilitate the onboarding of new data domains and analytical use cases. Ensure that all additions adhere to platform standards and contribute to the platform's maturity and strategic value. Advocate for excellence in metadata management, data quality, and access control. Foster a culture of continuous improvement and innovation across the technology teams and wider enterprise. Identify and support the reduction of our legacy technology estate. Experience Required Proven expertise in architecting and scaling data platforms using Snowflake, seamlessly integrated with Microsoft Azure. Deep understanding of modern data architectures, including Data Mesh, Data Fabric, Lakehouse, and ELT patterns. Familiar with data governance frameworks such as DCAM or equivalent, ensuring compliance and data stewardship. Can assess how architectural decisions impact business outcomes, platform performance and cost efficiency. Hands-on experience with Infrastructure-as-Code tools in Azure, particularly Terraform. Proficient in implementing CI/CD pipelines to support automated and reliable deployments. Strong grasp of Agile methodologies, with a track record of delivering iteratively in cross-functional teams. Demonstrates initiative and autonomy in solving complex technical challenges. Communicates abstract and complex concepts clearly to both technical and non-technical audiences. Committed to software engineering best practices, with a focus on quality, maintainability, and correctness. Collaborates effectively with stakeholders, end users, and team members, fostering a culture of shared ownership. Actively pursues continuous learning, driving the adoption of innovative technologies and approaches. Takes ownership of mistakes, works collaboratively to resolve issues, and implements long-term improvements based on lessons learned. Desired Skills Exposure to financial services or regulated environments is advantageous but not essential. Docker / Snowpark container services Streaming and related technologies such as Apache Kafka, Azure Event Hub Integration with Collibra Proficiency in Python Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Product Manager II who will be accountable for designing and delivering the road map for FinOps for all Onyx cloud platforms, products, and services. As a Product Manager II for FinOps Products, you will play a crucial role in optimizing our cloud spend and enhancing financial transparency across Onyx's platforms and services. Working closely with senior product leaders, engineering, finance, R&D leaders, and cloud operations teams, you will contribute to the development and delivery of products and features that empower our engineers, developers, scientists, and finance stakeholders to manage, forecast, and optimize cloud costs effectively. This is an exciting opportunity for a product professional passionate about cloud economics and building solutions that drive financial accountability and efficiency at scale. In this role you will Product Feature Ownership: Own the full product lifecycle for specific features or components within our FinOps product suite, from ideation and requirements gathering to launch, adoption, and iteration. Cloud Cost Visibility: Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services, enabling teams to understand their consumption patterns. Cost Optimization Enablement: Identify, define, and deliver capabilities that empower engineering teams to make cost-efficient choices, including recommendations for resource rightsizing, reserved instance/savings plan management, and identification of idle or underutilized resources. Financial Governance Support: Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits, and chargeback/showback mechanisms. User Research & Requirements: Conduct in-depth user research with engineers, developers, data scientists, and finance teams to deeply understand their challenges and needs related to cloud cost management. Translate these insights into detailed product requirements and user stories. Data Analysis & Reporting: Leverage cloud billing data and other financial inputs to analyze spending trends, identify cost anomalies, and support the creation of actionable financial reports and forecasts. Agile Product Development: Actively participate in an agile development environment, collaborating daily with engineering, UX, and QA teams to ensure successful and timely delivery of high-quality product releases. Cross-Functional Collaboration: Partner effectively with Cloud Platform Engineering, Data Platform Engineering, Finance, and R&D teams to ensure product features meet business needs, integrate seamlessly, and drive desired financial outcomes. Documentation & Training: Create clear product documentation, user guides, and training materials to facilitate product adoption and ensure users can effectively leverage FinOps tools and insights. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in a technical or scientific field, with a focus on computational science, Engineering, Finance, Business or related discipline Experience in product management, cloud financial management (FinOps), or a related role such as a Cloud Engineer with a strong cost optimization focus. Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure). Experience with data analysis and reporting tools to extract insights from financial or operational data. Familiarity with agile product development methodologies. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's degree or MBA. FinOps Certified Practitioner (FOCP) or equivalent certification. Direct experience with FinOps platforms and tools (e.g., Cloudability, CloudHealth, or native cloud cost management tools). Experience contributing to products that support large-scale, multi-cloud environments. Understanding of enterprise financial processes, budgeting, forecasting, and cost allocation. Strong communication and stakeholder management skills, with the ability to articulate technical and financial concepts to diverse audiences. Prior experience in the life sciences or biopharma industry, understanding the unique compute and data needs of scientific research. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . click apply for full job details
Dec 09, 2025
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Product Manager II who will be accountable for designing and delivering the road map for FinOps for all Onyx cloud platforms, products, and services. As a Product Manager II for FinOps Products, you will play a crucial role in optimizing our cloud spend and enhancing financial transparency across Onyx's platforms and services. Working closely with senior product leaders, engineering, finance, R&D leaders, and cloud operations teams, you will contribute to the development and delivery of products and features that empower our engineers, developers, scientists, and finance stakeholders to manage, forecast, and optimize cloud costs effectively. This is an exciting opportunity for a product professional passionate about cloud economics and building solutions that drive financial accountability and efficiency at scale. In this role you will Product Feature Ownership: Own the full product lifecycle for specific features or components within our FinOps product suite, from ideation and requirements gathering to launch, adoption, and iteration. Cloud Cost Visibility: Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services, enabling teams to understand their consumption patterns. Cost Optimization Enablement: Identify, define, and deliver capabilities that empower engineering teams to make cost-efficient choices, including recommendations for resource rightsizing, reserved instance/savings plan management, and identification of idle or underutilized resources. Financial Governance Support: Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits, and chargeback/showback mechanisms. User Research & Requirements: Conduct in-depth user research with engineers, developers, data scientists, and finance teams to deeply understand their challenges and needs related to cloud cost management. Translate these insights into detailed product requirements and user stories. Data Analysis & Reporting: Leverage cloud billing data and other financial inputs to analyze spending trends, identify cost anomalies, and support the creation of actionable financial reports and forecasts. Agile Product Development: Actively participate in an agile development environment, collaborating daily with engineering, UX, and QA teams to ensure successful and timely delivery of high-quality product releases. Cross-Functional Collaboration: Partner effectively with Cloud Platform Engineering, Data Platform Engineering, Finance, and R&D teams to ensure product features meet business needs, integrate seamlessly, and drive desired financial outcomes. Documentation & Training: Create clear product documentation, user guides, and training materials to facilitate product adoption and ensure users can effectively leverage FinOps tools and insights. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in a technical or scientific field, with a focus on computational science, Engineering, Finance, Business or related discipline Experience in product management, cloud financial management (FinOps), or a related role such as a Cloud Engineer with a strong cost optimization focus. Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure). Experience with data analysis and reporting tools to extract insights from financial or operational data. Familiarity with agile product development methodologies. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's degree or MBA. FinOps Certified Practitioner (FOCP) or equivalent certification. Direct experience with FinOps platforms and tools (e.g., Cloudability, CloudHealth, or native cloud cost management tools). Experience contributing to products that support large-scale, multi-cloud environments. Understanding of enterprise financial processes, budgeting, forecasting, and cost allocation. Strong communication and stakeholder management skills, with the ability to articulate technical and financial concepts to diverse audiences. Prior experience in the life sciences or biopharma industry, understanding the unique compute and data needs of scientific research. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . click apply for full job details
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. We are seeking an experienced Product Manager II who will be accountable for designing and delivering the roadmap for FinOps for all Onyx cloud platforms, products, and services. As a Product Manager II for FinOps Products, you will play a crucial role in optimizing our cloud spend and enhancing financial transparency across Onyx's platforms and services. Working closely with senior product leaders, engineering, finance, R&D leaders, and cloud operations teams, you will contribute to the development and delivery of products and features that empower our engineers, developers, scientists, and finance stakeholders to manage, forecast, and optimize cloud costs effectively. This is an exciting opportunity for a product professional passionate about cloud economics and building solutions that drive financial accountability and efficiency at scale. In this role you will Product Feature Ownership: Own the full product lifecycle for specific features or components within our FinOps product suite, from ideation and requirements gathering to launch, adoption, and iteration. Cloud Cost Visibility: Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services, enabling teams to understand their consumption patterns. Cost Optimization Enablement: Identify, define, and deliver capabilities that empower engineering teams to make cost efficient choices, including recommendations for resource rightsizing, reserved instance/savings plan management, and identification of idle or underutilized resources. Financial Governance Support: Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits, and chargeback/showback mechanisms. User Research & Requirements: Conduct in depth user research with engineers, developers, data scientists, and finance teams to deeply understand their challenges and needs related to cloud cost management. Translate these insights into detailed product requirements and user stories. Data Analysis & Reporting: Leverage cloud billing data and other financial inputs to analyze spending trends, identify cost anomalies, and support the creation of actionable financial reports and forecasts. Agile Product Development: Actively participate in an agile development environment, collaborating daily with engineering, UX, and QA teams to ensure successful and timely delivery of high quality product releases. Cross Functional Collaboration: Partner effectively with Cloud Platform Engineering, Data Platform Engineering, Finance, and R&D teams to ensure product features meet business needs, integrate seamlessly, and drive desired financial outcomes. Documentation & Training: Create clear product documentation, user guides, and training materials to facilitate product adoption and ensure users can effectively leverage FinOps tools and insights. Qualifications & Skills Bachelors degree in a technical or scientific field, with a focus on computational science, Engineering, Finance, Business or related discipline Experience in product management, cloud financial management (FinOps), or a related role such as a Cloud Engineer with a strong cost optimization focus. Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure). Experience with data analysis and reporting tools to extract insights from financial or operational data. Familiarity with agile product development methodologies. Preferred Qualifications & Skills Master's degree or MBA. FinOps Certified Practitioner (FOCP) or equivalent certification. Direct experience with FinOps platforms and tools (e.g., Cloudability, CloudHealth, or native cloud cost management tools). Experience contributing to products that support large scale, multi cloud environments. Understanding of enterprise financial processes, budgeting, forecasting, and cost allocation. Strong communication and stakeholder management skills, with the ability to articulate technical and financial concepts to diverse audiences. Prior experience in the life sciences or biopharma industry, understanding the unique compute and data needs of scientific research. Closing Date for Applications: Tuesday 6th January 2026 (COB) GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.
Dec 09, 2025
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. We are seeking an experienced Product Manager II who will be accountable for designing and delivering the roadmap for FinOps for all Onyx cloud platforms, products, and services. As a Product Manager II for FinOps Products, you will play a crucial role in optimizing our cloud spend and enhancing financial transparency across Onyx's platforms and services. Working closely with senior product leaders, engineering, finance, R&D leaders, and cloud operations teams, you will contribute to the development and delivery of products and features that empower our engineers, developers, scientists, and finance stakeholders to manage, forecast, and optimize cloud costs effectively. This is an exciting opportunity for a product professional passionate about cloud economics and building solutions that drive financial accountability and efficiency at scale. In this role you will Product Feature Ownership: Own the full product lifecycle for specific features or components within our FinOps product suite, from ideation and requirements gathering to launch, adoption, and iteration. Cloud Cost Visibility: Drive the development of tools and dashboards that provide clear, accurate, and granular visibility into cloud spending across Onyx platforms and services, enabling teams to understand their consumption patterns. Cost Optimization Enablement: Identify, define, and deliver capabilities that empower engineering teams to make cost efficient choices, including recommendations for resource rightsizing, reserved instance/savings plan management, and identification of idle or underutilized resources. Financial Governance Support: Assist in implementing and monitoring cloud financial governance policies and guardrails, including budget alerts, spend limits, and chargeback/showback mechanisms. User Research & Requirements: Conduct in depth user research with engineers, developers, data scientists, and finance teams to deeply understand their challenges and needs related to cloud cost management. Translate these insights into detailed product requirements and user stories. Data Analysis & Reporting: Leverage cloud billing data and other financial inputs to analyze spending trends, identify cost anomalies, and support the creation of actionable financial reports and forecasts. Agile Product Development: Actively participate in an agile development environment, collaborating daily with engineering, UX, and QA teams to ensure successful and timely delivery of high quality product releases. Cross Functional Collaboration: Partner effectively with Cloud Platform Engineering, Data Platform Engineering, Finance, and R&D teams to ensure product features meet business needs, integrate seamlessly, and drive desired financial outcomes. Documentation & Training: Create clear product documentation, user guides, and training materials to facilitate product adoption and ensure users can effectively leverage FinOps tools and insights. Qualifications & Skills Bachelors degree in a technical or scientific field, with a focus on computational science, Engineering, Finance, Business or related discipline Experience in product management, cloud financial management (FinOps), or a related role such as a Cloud Engineer with a strong cost optimization focus. Demonstrated understanding of cloud billing models, cost drivers, and service offerings across major cloud providers (e.g., AWS, GCP, Azure). Experience with data analysis and reporting tools to extract insights from financial or operational data. Familiarity with agile product development methodologies. Preferred Qualifications & Skills Master's degree or MBA. FinOps Certified Practitioner (FOCP) or equivalent certification. Direct experience with FinOps platforms and tools (e.g., Cloudability, CloudHealth, or native cloud cost management tools). Experience contributing to products that support large scale, multi cloud environments. Understanding of enterprise financial processes, budgeting, forecasting, and cost allocation. Strong communication and stakeholder management skills, with the ability to articulate technical and financial concepts to diverse audiences. Prior experience in the life sciences or biopharma industry, understanding the unique compute and data needs of scientific research. Closing Date for Applications: Tuesday 6th January 2026 (COB) GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. If you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.
