EY
Senior Manager - Data & AI, Banking and Capital Markets
City of Edinburgh
Posted about 15 hours ago
Get notified of more jobs like this · No spam, ever
How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
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 & AI, Banking and Capital Markets
Financial Services
London
The opportunity
The EY AI & Data team focused on the Financial Services sector is setting up a team in London to develop unique advisory propositions aligned with 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 the 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. We also help them design and implement modern data visualization and reporting solutions
Your key responsibilities
- 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.
- 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Data Strategy
Artificial Intelligence
Banking and Capital Markets
Data Architecture
Data Governance
Machine Learning
Cloud Data Platforms
SQL
Data Engineering
Change Management
Stakeholder Management
Regulatory Compliance
Data Modernization
Business Case Development
Team Leadership
Consulting
Location