EY
Manager, Tax Technology and Transformation, AI & Data, London

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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.
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The opportunity
EY Tax is a market leader, renowned for delivering sustainable growth and empowering our people to shape their own careers. Our diverse, collaborative team advises on high-profile transactions, combining technical expertise, innovation and a genuine focus on continuous development. Join us to work on challenging, multi-country projects in a supportive, dynamic environment where your impact truly matters.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
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.


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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.
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.
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