Join EY as a Senior Manager, AI & Data in London on a hybrid basis with UK client travel. In this leadership role, you will drive large-scale AI and data transformation programmes, shape client solutions, and originate follow-on growth across diverse industries.
Requirements
A strong track record of leading large-scale AI and data programmes into production as the accountable delivery lead.
Deep hands-on experience on at least one platform: Microsoft, Databricks, or Snowflake.
Proven experience shaping solutions, leading proposals, and managing engagement economics.
Background in consulting, professional services, or client-facing transformation.
No specific degree or minimum years of experience are explicitly stated.
Skills & Responsibilities
Delivery leadership: Own end-to-end execution of large AI and data programmes, ensuring delivery rigour, commercial management, and technical assurance.
Solution shaping: Collaborate with clients to decompose business problems and design scalable solutions on Microsoft, Databricks, or Snowflake.
Commercial growth: Build trusted relationships with senior stakeholders to identify, shape, and convert follow-on work and extensions.
Team management: Build, lead, and mentor multidisciplinary teams of architects, engineers, data scientists, and consultants.
Potential transition routes: People from senior technical delivery, data architecture, or management consulting roles may bring strong stakeholder management and technical oversight skills, alongside meeting the required consulting and platform delivery experience.
Job description
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 – AI & Data
Solution Shaping & Delivery Leadership
Senior Manager • London (hybrid, UK client travel)
About the team
EY’s UK AI & Data practice helps organisations across Government, Life Sciences, Consumer Products, Retail, Utilities and Telecommunications turn AI and data into measurable business outcomes. We solve problems at the heart of the enterprise – AI in customer excellence, finance, procurement and supply chain – and deliver them at scale on Microsoft, Databricks and Snowflake.
Role purpose
As a Senior Manager in AI & Data, you will turn a client problem into a solution, and a solution into delivered value. Your primary focus is delivery: leading large, complex AI and data programmes end to end, to time, budget and quality. Alongside that, you will shape solutions and proposals, and use the trust you build through delivery to originate and convert follow-on work.
Focus area
Indicative weighting of time
Delivery leadership
~60% – leading large AI and data programmes to outcome
Solution shaping
~25% – framing problems, designing solutions, leading proposals
Follow-on growth
~15% – identifying and converting extensions and new work within accounts
Key responsibilities
Delivery leadership (primary focus)
End-to-end ownership. Lead large-scale AI and data programmes (typically multi-workstream, multi-disciplinary teams) from mobilisation through to production and value realisation.
Delivery rigour. Own plans, RAID, quality assurance, governance and client steering; anticipate and resolve risks before they become issues.
Commercial management. Manage engagement economics – budget, margin, change control and forecasting – in line with EY standards.
Technical assurance. Be technically credible enough to challenge designs, make trade-offs and hold the line on quality, security and responsible AI.
Value realisation. Define and track business KPIs so clients see tangible outcomes, not just delivered technology.
Team leadership. Build, lead and coach teams of architects, engineers, data scientists and consultants, including onshore and offshore resources.
Solution shaping
Work with clients to understand business problems across customer, finance, procurement, supply chain and other functions, and decompose them into the AI, data, process and people capabilities required.
Design solutions and delivery approaches on Microsoft, Databricks or Snowflake, with credible estimates, plans and resourcing models.
Lead proposal development, orals and demos; articulate value through both a business lens (revenue, cost, working capital, risk, experience) and a technical lens (scalability, reuse, cost-to-serve).
Converting follow-on work
Use proximity to the client during delivery to spot new problems, extensions and adjacent opportunities.
Shape and convert follow-on work with the account partner and Director, building a pipeline from within the engagement.
Build trusted relationships with functional heads and senior client stakeholders through consistent delivery excellence.
Collaboration and practice
Work closely with account partners, consulting practice leaders and alliance partners (Microsoft, Databricks, Snowflake).
Contribute to reusable assets, accelerators and delivery methods; mentor Managers and Seniors.
What you will bring
Essential
A strong track record of leading large-scale AI and data programmes into production as the accountable delivery lead.
Hands-on, deep experience on at least one of Microsoft, Databricks or Snowflake.
Experience shaping solutions and leading proposals, with credible estimation and delivery planning.
A client-centric approach – starting from the business problem and translating it into an AI and data solution.
Functional or industry understanding in at least one of our focus areas.
Confident communication with both technical and business audiences.
Evidence of growing engagements through delivery – extensions, follow-ons or new scope.
Experience in consulting, professional services or equivalent client-facing transformation.
Platform depth (deep expertise in at least one)
Platform
Indicative capabilities
Microsoft
Azure data and AI services, Microsoft Fabric, Azure OpenAI / AI Foundry, Power BI, Copilot and agent extensibility, Purview
Databricks
Lakehouse architecture, Delta Lake, Unity Catalog, Mosaic AI, MLflow, data engineering and MLOps at scale
Snowflake
Data cloud architecture, Snowpark, Cortex AI, data sharing and governance, cost and performance optimisation
Desirable
GenAI and agentic AI delivery experience (RAG, orchestration, evaluation, LLMOps).
Experience leading blended onshore/offshore delivery teams.
Delivery or agile certifications and relevant platform certifications.
Security clearance or eligibility, for Government work.
What success looks like in the first 12 months
Leading at least one large AI or data programme delivered to time, budget and quality, with value evidenced.
Healthy engagement margins and strong client satisfaction feedback.
Follow-on work originated and converted from within delivery.
Leading or materially contributing to winning proposals.
Recognised as a strong leader and developer of the delivery team.
Why join us
You will work on some of the UK’s most significant AI and data transformations, across a breadth of industries and functions, backed by EY’s global network, alliance relationships and investment in AI. EY is committed to an inclusive culture and welcomes applicants from all backgrounds; reasonable adjustments are available throughout the process.
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.
