Job Description

The opportunity

EY Tax is a market leader, renowned for delivering sustainable growth and empowering our people to sh0ape their own careers. Our diverse, collaborative team advises on high-profile transactions, combining tec0hnical expertise, innovation and a genuine focus on continuous development. Join us to work on chall0enging, multi-country projects in a supportive, dynamic environment where your impact truly matte0rs.

Our Tax Technology and Transformation (TTT) team sits at the heart of EY’s Financial Services Tax practice, helping banks, insurers and asset managers reinvent how their tax and finance functions operate. We combine data engineering, intelligent automation and artificial intelligence – from AI-ready data foundations to generative and agentic AI – to transform tax compliance, reporting and advisory. As a Manager, you will lead multi-disciplinary teams to deliver these solutions, own trusted client relationships, and help shape our AI and data propositions in one of the fastest-moving areas of the market.

Your key responsibilities

• Lead the end-to-end delivery of AI and data engagements for financial services tax clients – scoping requirements, shaping the solution design, and managing delivery to time, budget and quality.

• Act as a day-to-day client lead and trusted adviser, translating complex tax, data and AI concepts into clear business value for both technical and non-technical stakeholders.

• Design and oversee AI-enabled and data-driven tax solutions – including generative and agentic AI use cases, data pipelines and models – ensuring they are robust, well-governed and ready for production.

• Manage, coach and review the work of Seniors, analysts and interns, building AI and data capability across the team.

• Support business development – shaping propositions, contributing to proposals and demonstrations, and identifying opportunities to grow existing accounts.

• Champion responsible AI, data governance and quality standards, staying abreast of developments in AI, tax technology and regulation and translating them into practical action.

Skills and attributes for success

What we look for

• Demonstrated proficiency in:
• Rapid prototyping of data science and machine learning solutions on large datasets.
• Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph.
• Developing and optimizing generative AI models, focusing on prompt engineering and LLMs.
• Writing production-grade Python applications.
• Managing version control with Git and using Docker for containerization.
• Knowledge of Databricks.
• Excellent communication skills, with the ability to effectively convey complex concepts to cross-functional teams and stakeholders.
• Experience in Agile development environment and familiar with Agile ceremonies (e.g. stand-up, backlog refinement, sprint planning)
• Ability to thrive in fast-paced environments, and a thoughtful approach to AI fairness, accountability, and transparency.

Ideally, you’ll also have

• Knowledge of financial services tax or regulatory reporting, or of enterprise tax technology (for example Alteryx, the Microsoft Power Platform or Microsoft Fabric).

• Recognised cloud, data or AI certifications (for example Azure, AWS, Databricks or a generative-AI credential), or a track record of proposition and business development.