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Lead Agentic Tax AI initiatives at EY, designing workflows, data products, and governance for a hybrid role in Madrid.
Senior position driving tax, AI, and data strategy – shaping the future with confidence and flexibility.
Requisition ID: 1720099 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 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 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, 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 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. ServiceNow 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 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 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.