Senior Manager - Data & AI, Banking and Capital Markets

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Senior Manager – Data & AI, Banking and Capital Markets

Financial Services

London

The opportunity

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

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.

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.

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.

Who we are

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.