EY
Data and AI Lead - Agentic Tax Processes and Platforms

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Data and AI Lead - Agentic Tax Processes and Platforms
Senior Data & AI Lead – Tax Centre of Excellence
Location: Global Tax Centre of Excellence (Data & AI Team), EY
At EY, we’re all in to shape your future with confidence. Join a globally connected powerhouse of diverse teams and take your career to new heights.
About the Opportunity
EY’s Global Tax Centre of Excellence (CoE) Data & AI team lead transformative initiatives that integrate Data & AI as core capabilities. This role focuses on architecting reusable patterns and process blueprints to standardise scalability across EY Tax technology teams globally.
You’ll have the chance to pioneer AI-driven tax workflows, shaping the future of tax services for EY and its clients.
Role Purpose
The Data & AI Lead sits at the intersection of tax domain expertise, data architecture/engineering, and applied AI & agent orchestration. Key responsibilities include:
- Ensuring trusted, well-structured data fuels AI agents for scalable, client-ready deployments.
- Designing agentic workflows that enhance tax processes with AI-driven automation, human oversight, and feedback systems.
Key Responsibilities
(Exhaustive list—not limited to—core priorities)
Agentic Workflow & AI Design
- Architect AI-augmented tax workflows with:
- Clear task-level agent responsibilities
- Agent communication/logical flow patterns
- Human-in-the-loop and escalation protocols
- Agent performance feedback loops and monitoring
- Standardise reusable agent blueprints tied to Lean-process frameworks
- Pioneering methodologies such as:
- Use of GitHub Copilot, Codex, or Factory AI for agent automation
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.
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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.
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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.
Data Architecture & AI-Ready Data Products
- Design and scale tax-focused data marts:
- Optimised for grain/granularity requirements
- Rigorous data lineage, governance, and quality controls
- Support for deterministic and probabilistic reasoning
- Orchestrate data ingestion/transformation from:
- ERP systems
- Tax platforms
- Semi-structured documents/pdfs and external datasets
Agent Governance & Security
- Develop agile governance models for agents and workflows:
- Ensure client compliance/integration (e.g., Microsoft Agent 365)
- Embed real-time risk monitoring and controls
- Cure interoperability with EY-hosted and third-party tools
Platform Strategy
- Deliver deployable AI-asset solutions across:
- Client environments (e.g. ServiceNow integrated workflows)
- EY’s hosted platforms
- Ensure reusable intellectual property (IP) through:
- Agent blueprints
- Data mart templates
- Orchestration/logic assets
- Security & governance patterns
CoE & Asset Development
- Act as technical authority guiding:
- Reference architecture standards
- Proof-of-concept (PoC) pilots
- Scalable multi-client deployments
Required Experience & Background
Essential Skills
- Bachelor’s degree in Computer Science, Data Engineering, or equivalent work experience. Advanced certifications in AI, ML, cloud, or data engineering a plus.
- 15+ years’ experience spanning:
- Data architecture
- Data engineering (SQL databases, modelling, schema design)
- Production analytics (scale, rigor, repeatability)
- Hands-on expertise with modern tools/stacks:
- Azure ML | Databricks | LangChain | LangGraph
- Python, C++, Java, and key ML libraries (PyTorch, PySpark, scikit-learn, Hugging Face Transformers)
- Experience applying AI/ML models in real-world finance/tax operations.
- Deep understanding of:
- Data governance, quality assurance
- Large-scale integrations (ETL pipelines, pipelines engineering)
- Ability to bridge technical and business needs for tax/finance stakeholders.
- Collaborative mindset with data science, engineering and tax professionals.
- Strong problem-solving aptitude and eagerness for continuous learning.


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**Desirable"};
- Prior TaxTech or FinTech domain knowledge.
- Experience with agentic AI (auto-GPT, LangSmith, administrator patterns").
- Cloud-centric architecture exposure (e.g., hybrid/infra-as-code).
Success Measures
- Quality & reusability of AI-ready data assets
- Stability/scalability of agent solutions
- Lean-to-operational time efficiency for release
- Cross-team asset adoption mayers
Why Join EY?
We offer:
- Future-focused skills development; cutting-edge tech exposure.
- Global mobility with a flexible, inclusive culture.
- Diverse teams driving impact in tax, data, and AI innovation.
Are you ready to shape your future? Apply today to join EY’s mission of building a better working world.
Accessibility Note: Please disclose accommodation needs during the recruitment process. We are committed to fostering an equitable, inclusive environment.
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