Senior Manager - Data & AI, Banking and Capital Markets

Senior Manager
- Data & AI, Banking and Capital Markets

Location:

London

Other locations:
Primary Location Only

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Senior Manager – Data & AI,Banking and Capital Markets

London

The EY AI & Data team focussed on Financial Services sector is setting up 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. We also help them design and implement modern data visualisation and reporting solutions

• 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…