At a Glance
- Tasks: Lead AI and data projects for financial services tax clients, ensuring quality delivery.
- Company: Join EY, a market leader in tax technology with a focus on innovation and growth.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Other info: Opportunity to coach and develop talent while championing responsible AI practices.
- Why this job: Make a real impact by shaping AI-driven tax solutions in a collaborative team.
- Qualifications: Proficiency in data science, machine learning, and excellent communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
Overview
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.
This role supports challenging, multi-country projects in a supportive, dynamic environment where impact truly matters.
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.
- Required Skills and Attributes
• 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, Auto Gen, and Lang Graph.
- 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.
- Preferred Skills
- 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.
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Manager, Tax Technology and Transformation, AI & Data, London employer: EY
EY is an exceptional employer that fosters a collaborative and innovative work culture in Manchester, where you can thrive as an Industry Strategy & Growth Lead. With comprehensive benefits including medical coverage and flexible vacation policies, alongside a strong commitment to professional development, EY empowers its employees to grow and excel in their careers while making a meaningful impact in the consumer and health sectors.
