Data and AI Lead - Agentic Tax Processes and Platforms

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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 CoE 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

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, GitHub 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

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

within client environments (e.g. ServiceNow with workflow‑orchestrated agents), and within EY‑hosted platforms

agent blueprints data mart patterns orchestration logic delivery assets eg. design and build agents security & governance blueprints

CoE & Asset Development

Act as technical authority within the CoE Develop reference architectures, patterns, and accelerators Support PoCs, 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, LangChain, LangGraph. 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. PyTorch, PySpark, 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