At a Glance
- Tasks: Lead the design of AI-driven tax workflows and data architecture.
- Company: Join EY, a global leader in building a better working world.
- Benefits: Flexible work environment, diverse culture, and future-focused skill development.
- Other info: Opportunity for career growth in a dynamic, inclusive team.
- Why this job: Shape the future of tax technology with cutting-edge AI and data solutions.
- Qualifications: 15+ years in data architecture and engineering; strong programming skills required.
The predicted salary is between 90000 - 120000 £ per year.
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.
The opportunity
EY’s Global Tax Centre of Excellence Data & AI team play a prominent role in leading client transformation initiatives that leverage Data & AI as core capabilities.
The Co E seeks to architect reusable patterns and process blueprints to bootstrap scalability across all the EY Tax technology teams in all key markets.
You will have an existing opportunity to stay on the leading edge of technology development and to contribute to the successful transformation of EY tax and its clients.
Role Purpose
The Data & AI Lead role is responsible for designing and architecting agentic tax workflows, underpinned by AI‑ready data products and robust data engineering.
This role sits at the intersection of
- Tax domain understanding
- Data architecture and engineering
- Applied AI and agent orchestration
It ensures that agents are fed with trusted, timely, well‑structured data and are deployed in a way that scales across clients and platforms.
Key Responsibilities but not limited to
Agentic Workflow & AI Design
• Design agentic workflows for tax processes, including
- task‑level agent responsibilities
- agent‑to‑agent communication patterns
- human‑in‑the‑Loop and escalation models
- feedback loops and agent performance monitoring and evaluations
- Define reusable agent blueprints aligned to Lean‑derived task definitions
- Apply leading edge agentic driven design and build methodologies eg.
- use of Codex, Factory ai, Git Hub Copilot
- Data Architecture & AI‑Ready Data Products
• Design and oversee the build of AI‑ready data marts that
- expose tax data at the right grain
- maintain lineage and quality controls
- support deterministic and probabilistic reasoning
• Lead data ingestion and transformation from
- ERP systems
- tax platforms
- semi‑structured documents
- external data sources
- Agent Governance & Security
- Apply design led thinking to embed agent and workflow governance and security:
- Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365)
- Design and embedded real time controls and risk monitoring
- Platform Strategy
• Architect solutions deployable
- within client environments (e. g. Service Now with workflow‑orchestrated agents), and
- within EY‑hosted platforms
• Ensure EY retains reusable IP through
- agent blueprints
- data mart patterns
- orchestration logic
- delivery assets eg. design and build agents
- security & governance blueprints
- Co E & Asset Development
- Act as technical authority within the Co E
- Develop reference architectures, patterns, and accelerators
- Support Po Cs, pilots, and scaled deployments
- Required Experience & Background
- Bachelor's degree in computer science engineering or equivalent work experience.
Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.
- 15+ years’ experience across data architecture, data engineering, and analytics including building SQL database, database designing and data modelling.
- Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, Lang Chain, Lang Graph.
• Strong grounding in
- data modelling
- data governance and quality
- large‑scale data integration
- Hands‑on experience applying AI/ML or advanced analytics in production environments
- Proficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e. g. Py Torch, Py Spark, scikit-learn, Hugging Face Transformers).
- Comfortable working with both business stakeholders and data & ai engineers
- Experience shaping technical strategy and operating models
- Strong verbal and written communication skills
- Excellent problem solving skills and unsatiable desire to learn and keep up with technology developments.
Desirable Experience
- Prior work in Tax Technology or Finance platforms
- Experience with agentic AI concepts, orchestration, or workflow‑driven automation
- Exposure to cloud‑based data platforms and modern AI stacks
- Success Measures
- Quality and reusability of AI‑ready data marts
- Stability and scalability of agent deployments
- Speed from Lean design to working agent
- Reuse of assets across clients and service lines
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences.
We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Learn more .
Are you ready to shape your future with confidence? Apply today.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
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.
Data and AI Lead - Agentic Tax Processes and Platforms in 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.
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We think this is how you could land Data and AI Lead - Agentic Tax Processes and Platforms in London
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We think you need these skills to ace Data and AI Lead - Agentic Tax Processes and Platforms in London
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EY. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
