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Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit . The Director of Solutions Engineering, EMEA is a senior leader within Saviynt's Revenue organization, bringing together deep domain expertise in Access Governance and Cloud Security with strong commercial and strategic acumen. This role partners closely with Sales Directors and Regional Vice Presidents to drive growth across new and existing enterprise accounts by positioning and selling Saviynt's integrated identity and cloud security platform. As a regional leader, this individual plays a pivotal role in shaping go-to-market execution and customer engagement strategy, while also serving as a key contributor to product marketing and enablement. The Director will help drive the creation of internal and external-facing content-including solution briefs, white papers, webinars, and web content-and enable teams across the organization with consistent messaging, best practices, and technical expertise. The role is responsible for building, developing, and scaling the Solutions Engineering & Strategy team across EMEA, ensuring high-quality customer engagement through workshops, collaborative strategy sessions, and detailed discovery that clearly articulates business value. Acting as a critical bridge between sales, product, and delivery, the Director ensures a seamless transition from pre-sales to implementation, while championing deployment methodologies and industry best practices for sophisticated enterprise customers. Working proactively and independently across functions, the Director of Solutions Engineering, EMEA drives opportunities to closure, influences strategic outcomes, and delivers measurable impact on regional revenue growth. This person must be located in London UK/ Netherlands / Germany and will work remotely + travel. WHAT YOU WILL BE DOING Drive growth of the Solutions Engineering & Strategy team through expanded sales enablement, deep subject-matter expertise, and team development, retention, and scaling Serve as a trusted advisor to customers by rapidly assessing needs, building strong relationships, and positioning solutions for sophisticated enterprise buyers Act as a thought leader through public speaking, executive engagement, and customer-facing presentations Lead customer discovery and translate findings into clear customer vision, requirements, and recommended deployment approaches Develop high-quality written deliverables throughout the sales cycle, including business cases, ROI analysis, scope definitions, cost estimates, and solution documentation Build and deliver customized, compelling presentations tailored to unique customer use cases and business challenges Acquire and apply deep Saviynt product knowledge through training, methodologies, and customer-facing best practices Collaborate with product management to deliver curated RFP responses and incorporate field feedback and competitive intelligence Deliver deployment strategy, best-practice presentations, and facilitate workshops focused on strategic vision, program development, and solution alignment Partner closely with sales leadership to proactively manage, prioritize, and close key regional opportunities Collaborate with delivery teams to produce pre-sales artifacts (e.g., program phasing, scope documents) and ensure a smooth transition from sales to implementation WHAT YOU BRING Fluent in English. Other European languages are a plus (written/spoken) Domain expertise - Privilege Access Management, Identity Governance and Administration, Application GRC, and/or, Cloud Security Minimum of five (5) years previous Solutions Engineering Management with demonstrable success in Cloud Security, Privileged Access Management, Application GRC, and/or Identity Governance and Administration solutions Bachelor's degree in information systems or related area, or demonstration of equivalent knowledge such as technical certifications from ISACA, (ISC) , AWS Cloud Practitioner, Microsoft Azure Fundamentals, Google Cloud Security Engineer, etc. Ability to travel up to 60% domestically with occasional international travel Strong technical aptitude with the ability to apply knowledge in customer-facing environments Excellent written, verbal, and presentation communication skills, including public speaking and solution documentation (e.g., solution briefs, scope definitions) Ability to work effectively both independently and in collaborative, peer-driven environments Demonstrated skills in coaching, mentorship, and influencing others Strong organizational, project, and customer management capabilities with a high level of responsiveness Experience leading onsite presentations and facilitating group discussions Ownership and management of technical team relationships within existing and prospective opportunities Self-sufficient with a high degree of autonomy and a passion for working within a dynamic startup-like environment Experience in Identity Governance and Administration domain with firm grasp of its concepts such as Identity Life Cycle Management, Entitlements Management, Access Request, Workflow, Policy and Role Management, Access Certification, Audit, Reporting/Analytics, and Deployment Scenarios Database query experience in a relational database environment (MySQL and Elastic Search) Experience with REST API, PowerShell, and GraphAPI Knowledge of authentication and authorization protocols and standards including SAML, OAuth/2, SCIM, OpenID, WS-Trust, SPNEGO, x.509, SPML, Kerberos, REST, JSON, and others that facilitate Single Sign On (SSO), ID federation, etc. Understanding of data governance concepts and compliance regulations such as GDPR & CCPA Experience with regulatory compliance and security frameworks such as SOX, NERC-CIP, HIPAA, Cobit, Center for Internet Security (CIS), Cloud Security Alliance, NIST, PCI, etc. Experience with AzureAD, Okta, JumpCloud, OneLogin, PingDirectory, Active Directory, eDirectory, Oracle Internet Directory, Radiant Logic, and other Cloud/LDAP/Virtual directories Basic understanding of networking technologies such as HTTP, TCP/IP, firewalls, and encryption If required for this role, you will: Complete security & privacy literacy and awareness training during onboarding and annually thereafter Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Data Classification, Retention & Handling Policy Incident Response Policy/Procedures Business Continuity/Disaster Recovery Policy/Procedures Mobile Device Policy Account Management Policy Access Control Policy Personnel Security Policy Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We are looking for ambitious, analytical graduates looking to take on an exciting role with fifty-five as a Digital Analytics Media Consultant in our London-based consulting team. This is a varied role which spans across digital strategy, media advisory website architecture, UX analysis and business insights. Working as part of a small, collaborative team, you will play a key role in delivering fifty-five's data-led projects to multiple, big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions. You will report to a Senior Consultant and work alongside other Consultants, Tracking Specialists, Cloud Engineers and Innovation Experts. Examples of project work you will be leading within the first year of your role include but are not limited to: Implementing technical website tracking solutions Helping companies track their online marketing performance Developing engaging dashboards for senior management About the Company Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Milan, Geneva, Taipei, Shenzhen, Hong Kong, New York and Shanghai, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise. Responsibilities Within your first year at fifty-five, you will be responsible for the following: Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client facing position, supported by a team of technical specialists Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate Developing a sharp, operational expertise about web analytics and media-buy topics Occasional travel possible, within the UK or abroad Progressing in your journey at fifty-five, you will be given the opportunity to grow in your role through first-hand exposure to multiple disciplines and, if interested, you might be selected to take a specialist path. Relevant Experience Educated to degree level Analytical mindset, keen to apply data to challenges Detail oriented, proactive and self-motivated, good organisation is paramount Curious and eager to learn, able to challenge and recommend solutions to problems Flexible, versatile and works well under pressure Collaborative, works well in a team, understands that the sum of our parts is better than the individual Strong interest in new marketing technologies & the digital industry Interest in working in a small, growing team Have the right to work in UK Desired Experience Masters degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We look forward to meeting you. In return, we are pleased to offer you the following benefits: Being part of a multicultural, dynamic and fast-growing team Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions) Phone allowance Private medical coverage through AXA Transport for London travel card allowance - covering 50% of zone 1-2 allowance The flexibility to work remote for part of the week 25 days holiday per year, in addition to UK bank and public holidays Company pension plan Company-sponsored sporting and social activities Cyclescheme fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance Thought The AA only provide roadside assistance? Think AA-X. Technology has made human life easier; from booking holidays and banking, through to meeting new people and work opportunities. But over the last decade owning and driving cars has gotten far tougher. At AA-X we are on a mission to re-invent the car ownership and usage experience. We imagine, build and grow connected car ventures. Using data and AI to provide car and driver insights with new solutions that give drivers control, confidence and a little joy across their motoring lives. As a Solution Architect within AA-X, you'll be apart of the UK's largest and most trusted driving company, developing and testing human-centric products and services fast; whilst giving AA members first access to everything we build. Are you ready for a career where you're always ahead? This is the job Are you ready to architect the future of mobility? We're on the hunt for a visionary Solutions Architect to lead the charge in transforming our Connected Car platform. This is a rare opportunity to shape cutting-edge consumer-facing applications that blend real-time vehicle diagnostics, IoT innovation, and mobile-first design - all within a fast-paced, cloud-native environment. If you thrive at the intersection of technology and strategy, and bring deep expertise in architecture, connected car ecosystems, and modern frameworks like React and Flutter, this role offers the chance to make a tangible impact. Join us in redefining how drivers interact with their vehicles - smarter, safer, and more connected than ever. What will I be doing? Architect and evolve ourConnected Car platform, integrating OBD-II devices and real-time diagnostics. Design scalable, secure, and resilientconsumer-facing applicationsacross mobile and web. Collaborate with cross-functional teams to translate customer needs into robust technical solutions. Championdata privacy and security, ensuring compliance with GDPR and automotive standards. Lead technical discovery for features likeAI-powered diagnostics, predictive maintenance, and third-party integrations. Provide architectural guidance across the development lifecycle, mentoring teams on cloud-native and mobile-first strategies. What do I need? Strong demonstrable experience within Architecture, with a strong track record in consumer digital platforms. React and Flutter expertise- you're fluent in modern mobile/web frameworks and know how to build responsive, user-centric applications. Connected Car / IoT experience is ideal - you've architected platforms involving hardware integration, telemetry, and real-time analytics. Deep understanding of AWS cloud architecture, microservices, and CI/CD pipelines. Strong grasp of security best practices, compliance standards, and scalable design principles. Additional information We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you'll have access to a range of benefits including: 25 days annual leave plus bank holidays + holiday buying scheme Worksave pension scheme with up to 7% employer contribution Free AA breakdown membership from Day 1 plus 50% discount for family and friends Discounts on AA products including car and home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus, so much more! We're an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Overview Location: London Other locations: Primary Location Only Date: 7 Oct 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Data Engineering - Databricks Architect London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Strategy - Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure. Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration. Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance, lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs Experience of building high performing teams and exceptional leadership and interpersonal skills Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going. Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk Ability to engage with senior stakeholders and manage large cross functional projects Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Previous consulting experience will be greatly valued A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Senior Presales Data & AI Architect In this customer-facing role, you will work closely with Sales, Portfolio, and Delivery teams to design intelligent, data-driven solutions that help customers leverage data, analytics, and AI to transform operations, accelerate innovation, and improve decision-making. The role combines data architecture, AI system design, and solution strategy, focusing on AI-as-a-Service (AIaaS) and agentic AI within managed service environments. You will define architectures integrating data platforms, AI models, and autonomous agent frameworks to enable scalable, secure, and ethical AI deployments across industries. As a trusted advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service. Where purpose meets career: Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts. This variety ensures continuous learning and exposure to innovative solutions. High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation. Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment. Skills we can't do without: Professional experience of at least 5 years in data architecture, analytics, or AI solution design, ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design. Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills, able to articulate complex technical solutions, integrate cloud-native AI services and open frameworks (MLflow, LangChain, Hugging Face, OpenAI APIs), and ensure ethical, compliant AI deployments in regulated industries. Educational Background and Qualifications: Educational Qualifications: Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline. Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable. Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

About Unbiased Unbiased is an AI enabled financial advice platform, empowering people to make confident financial decisions and delivering unrivalled growth for advice firms. With the greatest wealth transfer in history now underway, Unbiased connects people to trusted advice across pensions and retirement, inheritance planning, mortgages, accountancy, and more. The Unbiased platform applies advanced models trained on a rich dataset of user activity to intelligently match individuals with qualified advisers, providing the easiest and most reliable way to access financial expertise. Since 2010, Unbiased has generated over $100 billion in AUM opportunities for financial advisers, with 65% of prospects new to advice. Reaching more than 10 million consumers annually, it is the leading source of client demand in the industry. We have big ambitions to improve how people tackle the biggest decisions, and working at Unbiased means working with smart, motivated people who believe in this. We have a fun, but in an ambitious environment where we are simply trusted to get stuff done. We actively encourage women to apply and bring their diverse perspectives to our team, as we believe in fostering an inclusive and empowering workplace where everyone can thrive. We are a female founded company, with a culture focused on diversity and inclusion amongst our entire team. The Role We are looking for a Head of Data & Analytics to shape how Unbiased will use data to grow our business over the next five years. This is a pivotal leadership role, responsible for shaping our data strategy, developing an existing high performing team, and ensuring data is a core asset driving both internal decision making and customer value. AI is a core part of our strategy, so you will be both experienced with and excited by AI and the commercial opportunities it brings. You'll be a strategic player coach who is experienced in having strategic discussions and also comfortable with being hands on. You'll work closely with the senior leadership team along with being a key partner for our marketing, commercial, finance and product teams. In a nutshell, you'll be responsible for Data Strategy & Leadership Define and own the company wide data & analytics strategy Partner with relevant teams to ensure we leverage ML & AI to create opportunities with our data for commercial outcomes Develop and scale a high performing data function (engineering, analytics, science) Act as a thought leader on data maturity and governance, championing a data driven culture across the company Product & Customer Value Partner with product management to productise data for commercial outcomes and bring it to market Drive innovation in how Unbiased accesses and benefits from their data (e.g., benchmarking, predictive insights, anomaly detection) Data Infrastructure & Governance Responsible for the overall data architecture and pipelines to support current and future needs. Ensure best practices in data governance, quality, security, and compliance e.g. GDPR, ISO standards Own relationships with relevant technology vendors and manage data platforms and tools Analytics & Insights Deliver actionable insights that guide strategic and operational decisions Partner with commercial, product, and customer success teams to improve performance through data Lead the development of dashboards, reporting, and self service analytics capabilities Team Development Mentor and inspire data professionals, creating a culture of excellence and curiosity Balance strategic vision with hands on leadership, especially in the early stages of building the function To succeed, you'll need We're looking for a senior data leader who combines technical expertise and commercial acumen with marketplace experience. 10+ years' experience in data, with at least 3 5 years in management and leadership roles Strong applied econometrics skills, including experience using statistical models to forecast performance and analyse customer and market behaviour Proven experience in a two sided marketplace, with an understanding of consumer and customer behaviour, supply/demand modelling, marketplace economics and marketplace metrics (incl capacity modelling, demand forecasting, dynamic balancing) Data science, AI/ML experience Statistical and analytical skills including experimental design, predictive modelling, pricing & elasticity modelling, segmentation and funnel analytics for multi stage interactions. Proven experience designing and scaling data architecture, analytics, and governance in a SaaS or tech driven environment Hands on skills in modern data stacks e.g., cloud warehouses, ETL/ELT pipelines, BI tools, specifically Looker Strong stakeholder management - able to translate data insights into business impact and communicate with execs, engineers, and non technical teams Track record of building and developing high performing data teams Desirable Experience in SaaS or fintech (in addition to marketplace) Familiarity with outcome based analytics in B2B products Demonstrable experience of data monetisation and opportunity discovery Knowledge of A/B testing and Google Analytics Our Shared Values Be relentless about progress - working at pace to solve problems, navigate around blockers and prioritising company OKR's. Own it and get it done - taking ownership of your projects, involving the right people at the right time and making meaningful contributions. Share and seek input - proactive in seeking and acting upon feedback. Being open, sharing knowledge and proactively communicating. Enjoy the journey - ensuring cross team collaboration and proactively celebrating achievements of your peers. How we'll take care of you: Investment in your Development: Alongside in house training, you'll be allocated a generous yearly allowance to invest in your career development. Investment in your Wellbeing: Your wellbeing is a top priority for us, and you'll be able to benefit an annual wellbeing allowance. On top of this, we have arranged for Private Medical Insurance for extra peace of mind for you and your family. Social Events: We're a social bunch so you can expect plenty of activities based in and around our vibrant office in the heart of Farringdon. The Usual Benefits: Holiday: you'll be allocated plenty of holiday to ensure that you have enough time to recharge, work life balance is super important to us here (you'll also have your birthday off as paid annual leave). Flexible working: we'll work with you to find the balance of office based work and remote working. Pension: you'll be able to save via salary sacrifice scheme, with Unbiased contributing above the minimum required amount, subject to banded earnings. Private Medical Insurance: you can add your dependents and spouse. Payroll Giving: donate to your charities of choice in the most tax efficient way, via salary sacrifice. Life insurance Cycle to work scheme Equal Opportunity The best ideas are often the least expected and require new ways of thinking; that's why our teams at Unbiased are made up of a broad range of talented people. We are proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Data Privacy Personal information about unsuccessful candidates will be held for 12 months after the recruitment exercise has been completed, it will then be destroyed or deleted. We retain de personalised statistical information about applicants to help inform our recruitment activities, but no individuals are identifiable from that data. Once a person has taken up employment with Unbiased, we will compile a file relating to their employment. The information contained in this will be kept secure and will only be used for purposes directly relevant to that person's employment. Once their employment with Unbiased has ended, we will retain the file in accordance with the requirements of our retention schedule and then delete it. Agencies As much as we appreciate the help, we're using our own direct sourcing methods or we're working with one of our carefully selected Agency Partners on this vacancy. To find out a little more about how we partner with agencies please email . FAO our Talent Manager, speculative phone calls will not be taken by our team neither will CV submissions without Unbiased or the candidate's expressed consent.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic FSI Enterprise accounts. You'll be the owner of a defined territory where you'll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration-and is critical to our growth in the Enterprise segment. What You Will Be Doing Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates 50 % of your booked opportunities. Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes. Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining 90 % forecast accuracy within 10 %. Executive negotiation & closing: Lead high-stakes contract and pricing discussions-defend your value, structure give/get trades, and land multi-year consumption commitments. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. What You Bring Proven SaaS quota carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment. Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals. Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated. Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in. Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization. Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic's values of community and openness. Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model-bonus if you've sold or advocated in an OSS context. Bonus Points Prior experience at an open-source or developer centric infrastructure company. Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases. If you're driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we'd love to talk. Apply today! Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision (Poster); Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic ("DNR"), and the Luhansk People's Republic ("LNR"). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Edinburgh / Hybrid Engineering & Technology At FanDuel Group, we give fans a new and innovative way to interact with their favourite games, sports and teams. We're dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does "winning" look like at FanDuel? It's recognition for your hard earned results, a culture that brings out your best work-and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we'll never compromise when it comes to looking out for our teammates. From creative professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of "We Are One Team" runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. THE POSITION Our roster has an opening with your name on it FanDuel is looking for a highly technical and detail oriented Systems Admin, Marketing Technology to own the end to end execution of data and technical integrations that power our marketing ecosystem. In this role, you will ensure the successful implementation of data pipelines, event instrumentation, customer attributes, and system to system connections that fuel marketing activation, personalisation, and automation across all channels. You will sit within the Marketing Technology & Operations organisation and work cross functionally with Data, Product, Marketing Strategy, Engineering, and Marketing Operations to translate business requirements into accurate, scalable, and future proof technical solutions and executions. This role is ideal for someone passionate about data architecture, marketing technology, and operational excellence-someone who enjoys digging into APIs, ETL workflows, marketing platforms, and orchestration logic to enable world class marketing experiences. THE GAME PLAN Everyone on our team has a part to play Technical Implementation & Data Architecture Own implementation of new marketing data pipelines, customer events, and attribute generation across FanDuel's martech stack, ensuring accuracy, scalability, and alignment with data governance standards. Translate marketing requirements into robust technical specifications-including event schemas, workflow designs, data transformations, and integration logic-with an eye toward opportunities for AI driven automation and optimization. Partner with data, product and engineering teams to introduce net new data points, refine data structures, and optimize data consumption for downstream activation. Ensure governance of Martech tooling (e.g., CDPs, Data Activation tools, and Customer Experience Platforms) to maintain operational excellence, AI readiness, and seamless connectivity across Marketing and Media technology partners. Systems Integration & Martech Connectivity Implement and maintain integrations between martech systems (ETL, CDPs, promotional engines, content tools, analytics platforms) using REST APIs, webhooks, and structured data formats such as JSON, with increasing leverage of AI driven validation and monitoring where appropriate. Lead setup and configuration of new tools, features, and marketing capabilities, ensuring they are technically sound, AI capable where relevant, and ready for operational adoption. Support data driven personalisation and cross channel orchestration by ensuring underlying data flows, model inputs, and attribute lifecycles are correct and consistent. Marketing Enablement & Operational Excellence Serve as a key technical liaison across Customer Marketing, Data Science, Technology, and Product to ensure new capabilities are scoped, implemented, validated, and utilised effectively. Conduct end to end QA of data integrations, campaign triggers, and attribute logic to prevent errors and ensure high quality execution. Create and maintain technical documentation and implementation guides in Confluence, ensuring transparency, knowledge transfer, and clarity around AI enabled features and automation logic. Help champion best practices and ways of working, including prioritisation frameworks, workflow governance, and consistent implementation standards across marketing technologies. Identify gaps in the martech ecosystem and recommend new integrations or techniques-including AI enhanced approaches-to improve marketing precision, personalisation, and automation. Evaluate the technical feasibility of new marketing strategies and propose scalable solutions that responsibly incorporate machine learning, generative AI, or adaptive decisioning. Contribute to transformation initiatives that embed AI, model driven marketing, and advanced segmentation capabilities throughout the stack, strengthening FanDuel's ability to deliver timely, personalised experiences. THE STATS What we're looking for in our next teammate Technical Expertise Experience in marketing technology implementation, data engineering support, or marketing operations with a strong technical focus. (Blended requirement based on manager and senior analyst levels.) Advanced proficiency in SQL and experience working with structured and semi structured data (JSON, APIs, event payloads). Hands on experience with ETL/data integration tools (e.g., Hightouch, KNIME, AWS, Microsoft, SAP) and API based integrations. Familiarity with CDPs, marketing automation tools, and orchestration platforms. Experience implementing or managing server based automations or cloud environments. Implementation & Operational Skills Demonstrated success translating business needs into detailed technical requirements and scalable implementations. Ability to lead cross functional technical projects, influence stakeholders, and manage competing priorities. Strong problem solving skills with a meticulous eye for data accuracy, quality assurance, and debugging workflows. Experience with project management tools such as Jira, Asana, or A proactive, curious, solution oriented mindset with a passion for technical problem solving. Excellent communication skills, with the ability to explain technical concepts to non technical partners. Strong desire to build, improve, and innovate within a fast moving, high growth technology environment. Collaborative spirit-someone who values being part of One Team and thrives in cross functional partnership. ABOUT FANDUEL GROUP FanDuel Group is an innovative sports tech entertainment company that is changing the way consumers engage with their favourite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance deposit wagering, and TV/media. FanDuel Group has a presence across all 50 states with approximately 17 million customers and 28 retail locations. The company is based in New York with offices in California, New Jersey, Florida, Oregon, Georgia, Portugal, Romania and Scotland. Its network FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct to consumer OTT platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and a constituent of the FTSE 100 index of the London Stock Exchange. PLAYER CONTRACT We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: An exciting and fun environment committed to driving real growth Opportunities to build really cool products that fans love Mentorship and professional development resources to help you refine your game Flexible vacation allowance to let you refuel Hall of Fame benefit programs and platforms FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, "We Are One Team!". We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team! Apply for this position Technology We're the backbone and the turbo engine behind FanDuel's rise-and we don't just build software, we build the future. Step into our world and you'll find a frontier style playground where top tier talent tackles complex challenges head on. From crafting innovative tech to scaling a platform that's fast, secure, and rock solid, we're doing it all in one of the most regulated-and exciting-markets out there . click apply for full job details

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients, including institutional investors of all sizes as well as a growing number of private wealth advisers and investors, with approximately $65bn in discretionary assets under management (as of December 31, 2023). Leveraging our specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. There is an exciting opportunity for a Programme Manager (PGM) to join Pantheon's Change Office. The Change Office partners across the organization to define the strategic transformation vision and roadmap, drive implementation of initiatives (including engagement & partnership with key stakeholders) and consistently delivers high quality execution of change. This Programme Manager will lead complex change initiatives (and/or a small portfolio of several change initiatives), with focus on the Investments organization across people, processes and platforms. These initiatives will be led end to end (from ideate to BAU transition) including partnering with key stakeholders to define the strategy and scope, own the detailed planning and leading the design, implementation and transition to BAU. To enable success, collaborating globally across functions (including Core Portfolio Management, Data & Analytics, Investment Teams, Investor Relations, Legal, Finance & Technology), effectively communicating and engaging with third parties will be a key component of this role. This Programme Manager will be directly partnering within the Change Office to manage interdependencies, leverage lessons learned, ensure thoughtful coordination and maintain a consistent and high standard of execution across the portfolio of changing initiatives. They will be responsible for managing project manager(s) and business analyst(s) and report to the Head of Change office. Key Responsibilities Develop & maintain robust programme & project plans, associated artefacts & KPIs to effectively deliver to plan Define and lead respective programme/project governance to facilitate effective decisioning, escalation and engagement of key stakeholders Diligently manage programme budgets and resourcing Work in partnership across the organization to develop business cases and lead prioritization of initiatives Effectively manage the deployment of new systems/applications/tools/products/processes through comprehensive communications & training with all impacted stakeholders Manage project managers and business analysts, provide thought leadership within the Change office & to partnering functions Own relationship with external vendors(s) including leading RPF/vendor selection processes, and negotiating commercials Ensure compliance with relevant laws, regulations and Pantheon policy (including reporting compliance risks and maintaining appropriate standards of conduct) Functional Expertise Extensive experience successfully leading end to end, complex, multi year transformation programmes within financial services, with a specific focus on Private Equity investment processes and toolsets. Proven track record delivering CRM implementations, including end to end deal process re engineering, for example through platforms such as DealCloud or similar. Ability to produce robust, accurate reporting to ensure transparency across the programme's critical path, including identification and management of key risks, issues, and dependencies. Strong stakeholder management skills, with a demonstrated ability to build relationships and trust across diverse stakeholder groups to influence decisions and secure buy in. Excellent communication skills-both written and verbal-able to translate complex technical or business concepts into clear, concise presentations that "tell the story" effectively for audiences at all levels and drive educated decisioning Collaborative and approachable, comfortable engaging with team members and senior executives alike Thrives in dynamic, fast paced environments, with the agility to adapt to evolving priorities and navigate ambiguity. Pantheon is an Equal Opportunities employer This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager.

Lead Solutions Architect - AWS This is a hands-on leadership role, working across the full development lifecycle - from strategy and design to implementation and rollout - while mentoring a growing technical team and collaborating with third-party developers. Key Responsibilities: Lead the design and delivery of scalable, cloud-based systems that power real-time data and analytics Oversee and guide th click apply for full job details