Senior Manager - Data & AI Banking and Capital Markets

Salary: £58,000 - 98,000 per year

Requirements:

• 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 across Global Markets, Global Banking, risk and regulatory environments.
• Demonstrated experience leading initiatives across the banking data lifecycle, including regulatory and risk data, enterprise data strategy and governance, data quality and remediation, complex data modernization and migration, and AI-enabled solutions.
• Demonstrated career progression across data and analytics disciplines, 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.
• Demonstrated experience assessing end-to-end client journeys within banking and translating 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 and Unity Catalog.
• Working knowledge of SQL and data-analysis techniques, with experience using data profiling, reconciliation and analysis.
• 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.
• Proven ability to operate at the intersection of business and technology, translating complex and ambiguous banking problems into actionable Data & AI solutions.
• Demonstrated professional experience across both management consulting and industry environments.
• Experience applying data, analytics and technology capabilities across financial services and at least one additional industry environment.
• Proven experience building and leading high-performing, multidisciplinary and geographically distributed teams, 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 and influence complex business and technology decisions.
• 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.
• Intellectual strength and flexibility to rapidly understand complex and ambiguous banking problems and mobilize the appropriate capabilities to deliver solutions.
• A university degree (2:1 or equivalent) or above in a relevant quantitative, technology, business or financial-services discipline.
• 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.

Responsibilities:

• Lead complex, end-to-end Data & AI programs across Banking & Capital Markets, from problem definition and strategy through implementation, operating-model change and realization of business outcomes.
• Apply 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.
• Lead regulatory and risk data initiatives, interpreting regulatory and business requirements and translating them into data requirements, technology logic and controls.
• Lead client experience and journey initiatives within banking, assessing end-to-end client journeys, identifying friction points and experience gaps, and translating 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 and translate 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.
• Apply technical understanding of data architecture and data models to challenge solution approaches, inform technical decisions and direct specialist engineering and architecture teams.
• Work with structured and unstructured data to support data profiling, analysis, reconciliation, requirements definition and validation.
• 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.
• Apply experience across financial services and broader data and analytics environments to bring external perspectives, innovative approaches and transferable Data & AI practices to Banking & Capital Markets clients.
• 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.

Technologies:

• Agentic AI
• AI
• Cloud
• Databricks
• ETL
• Support
• SQL
• Snowflake
• Unity
• GameDev
• Machine Learning
• Network

More:

We are EY, a global leader in assurance, tax, transaction and advisory services, using data, AI and advanced technology to help build a better working world. We are setting up an AI & Data team in London focused on the Financial Services sector, with an initial emphasis on Banking and Capital Markets. We offer a competitive remuneration package, flexible working, career development, coaching and feedback, and the freedom to shape your role in a way that works for you. We are committed to an inclusive culture and flexible working arrangements, and our teams operate across more than 150 countries and territories.

last updated 36 week of 2026