Senior Manager - Data & AI, Banking and Capital Markets in London

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.

The EY AI & Data team focused on the Financial Services sector is setting up a team in London to develop unique advisory propositions aligned to fast-evolving market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data & AI Capability with an initial focus on Banking and Capital Markets domain. This is a senior role and will require an individual with an exceptional track record of delivering Data & AI strategy & implementation programs and team building 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.

Your key responsibilities include:

• Lead complex, end-to-end Data & AI programs across Banking & Capital Markets, with accountability from problem definition and strategy through implementation, operating-model change and realization of business outcomes.
• Apply deep Banking & Capital Markets domain experience across Global Markets, Global Banking, risk and regulatory functions to identify complex business and data challenges and shape domain-led Data & AI solutions.
• Partner with senior business, operations, risk, data and technology stakeholders to translate strategic priorities and complex banking requirements into executable Data & AI initiatives, technical requirements and implementation roadmaps.
• Lead enterprise data modernization and migration initiatives across complex legacy and modern data environments, including data-quality assessment and remediation, data profiling and de-duplication, master-record strategies, migration qualification and readiness, reconciliation, target-state requirements and implementation planning.
• Shape and lead enterprise data strategy and governance initiatives spanning data quality, ownership, lineage, metadata, critical data elements, controls and remediation, translating governance objectives into sustainable business and technology change.
• Lead regulatory and risk data initiatives, interpreting regulatory and business requirements and ensuring their intended outcomes are appropriately translated into data requirements, technology logic and controls.
• Lead client experience and journey initiatives within banking, using quantitative and qualitative insights to assess end-to-end client journeys, identify friction points and experience gaps, define strategic priorities and translate findings into actionable roadmaps and measurable business outcomes.
• Design phased delivery strategies that balance immediate business priorities with longer-term modernization objectives, including migration sequencing, exception management, scalable operating models, automation opportunities and upstream/downstream impacts.
• Shape and prioritize AI and automation opportunities within Banking & Capital Markets by assessing business value, feasibility, data readiness, risk and implementation readiness and translating prioritized opportunities into business cases, investment roadmaps and executable initiatives.
• Lead AI-enabled change across business and operational processes, identifying where AI, Generative AI, automation and agentic capabilities can improve outcomes while establishing appropriate human oversight, controls, exception management and measures of realized value.
• Operate at the intersection of business and technology, translating complex banking problems into Data & AI requirements and mobilizing multidisciplinary capabilities across business, data, architecture, engineering, analytics and AI while retaining accountability for the integrated solution and business outcome.
• Apply technical understanding of data architecture and data models - including relational and non-relational data structures, data flows, ETL/ELT, cloud data platforms, data quality, metadata and lineage to challenge solution approaches, inform technical decisions and effectively direct specialist engineering and architecture teams.
• Work with structured and unstructured data to support data profiling, analysis, reconciliation, requirements definition and validation, using SQL and related data-analysis techniques where appropriate.
• Bring perspectives from both consulting and industry environments to develop pragmatic Data & AI strategies that balance business priorities, operational realities, technology constraints and implementation feasibility.
• Lead high-performing, multidisciplinary and geographically distributed teams, empowering Managers and workstream leaders while managing cross-workstream dependencies, delivery quality, risk and senior client expectations.
• Build trusted relationships with senior stakeholders within large global banking institutions, influence complex decisions across business and technology leadership and communicate recommendations effectively to executive audiences.
• Identify, shape and develop new Data & AI opportunities, including developing propositions and business cases, contributing to pursuits, expanding existing engagements and progressing opportunities from initial problem identification through implementation.
• Contribute to integrated Data & AI and go-to-market propositions by connecting business, operations, data, technology and AI capabilities around evolving client priorities.
• Provide Senior Manager-level leadership across client delivery, people development, quality, risk and commercial performance.

To qualify for the role, you must have:

• Significant management consulting experience leading complex Data & AI programs from strategy and problem definition through implementation within large, complex global banking institutions.
• Deep Banking & Capital Markets domain experience, with demonstrated understanding across Global Markets, Global Banking, risk and regulatory environments and the interaction between business, operational, data and technology requirements.
• Demonstrated experience leading initiatives across the banking data lifecycle, spanning regulatory and risk data, enterprise data strategy and governance, data quality and remediation, complex data modernization and migration, and AI-enabled solutions, with the ability to connect these capabilities into integrated solutions for Banking & Capital Markets clients.
• Demonstrated career progression across data and analytics disciplines, with experience spanning analytical and regulatory data challenges, data strategy and governance, modernization and AI-enabled solutions.
• Demonstrated experience leading complex data modernization and migration initiatives involving legacy environments, data-quality remediation, data profiling and de-duplication, master/golden-record concepts, migration strategy and readiness, target-state requirements and operating-model change.
• Experience interpreting regulatory and risk requirements and translating them into actionable business, data and technology requirements, including the ability to challenge whether implementation approaches achieve the intended business or regulatory outcome.
• Demonstrated experience assessing end-to-end client journeys within banking, using client, business and operational insights to identify friction points, define experience-improvement opportunities and translate findings into prioritized strategic initiatives.
• Demonstrated experience identifying, assessing and shaping AI and automation opportunities within banking, including business-value assessment, feasibility, data readiness, risk, business-case development and implementation planning.
• Strong technical understanding of modern data architectures and platforms, including data modeling concepts, ETL/ELT patterns, cloud data platforms such as Snowflake and Databricks, data quality tools, metadata tools, lineage tools and data governance tools such as Collibra, Unity Catalog.
• Working knowledge of SQL and data-analysis techniques, with experience using data profiling, reconciliation and analysis to investigate data issues, validate requirements and support business and technology decision-making.
• Understanding of AI, Generative AI and agentic AI concepts, including their application to banking use cases, data requirements, implementation considerations, controls and human oversight.
• Familiarity with modern cloud and data technology ecosystems and the ability to evaluate technology approaches based on business requirements, existing architecture, data characteristics, governance, scalability and implementation considerations rather than dependence on a single technology platform.
• Proven ability to operate at the intersection of business and technology, translating complex and ambiguous banking problems into actionable Data & AI solutions and leading those solutions from strategy into execution.
• Demonstrated professional experience across both management consulting and industry environments, with the ability to combine consulting-led approaches with practical understanding of how data and analytics capabilities operate within organizations.
• Experience applying data, analytics and technology capabilities across financial services and at least one additional industry environment, with the ability to transfer relevant approaches and innovation into Banking & Capital Markets.
• Proven experience building and leading high-performing, multidisciplinary and geographically distributed teams across business, data, analytics and technology disciplines, including developing Managers and workstream leaders.
• Demonstrated ability to successfully lead multiple complex engagements and priorities while maintaining accountability for client outcomes, delivery quality, commercial performance and risk management.
• Proven ability to build trusted relationships with senior stakeholders within large global banking institutions, influence complex business and technology decisions and lead large cross-functional initiatives.
• Demonstrated commercial experience identifying and shaping new opportunities, expanding existing engagements, developing propositions and business cases, contributing to pursuits and supporting strategic account growth.
• Exceptional storytelling, executive communication, presentation and business-writing skills, with the ability to translate complex Data & AI topics into clear business narratives and communicate effectively with both technical and business stakeholders.
• Intellectual strength and flexibility to rapidly understand complex and ambiguous banking problems, structure them into actionable solutions and mobilize the appropriate capabilities to deliver them.
• A university degree (2:1 or equivalent) or above in a relevant quantitative, technology, business or financial-services discipline, together with a postgraduate qualification demonstrating advanced academic training in Data Science, Business Analytics, Information Systems, Computer Science, Engineering or another relevant data, analytics or technology discipline.

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.

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, and the freedom and flexibility to handle your role in a way that’s right for you.

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.

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.