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EY

Data and AI Lead – Agentic Tax Processes and Platforms

EY

Data & AI Lead at EY designing AI-driven tax workflows and overseeing data architecture. Leading AI initiatives to enhance tax technology and client transformation efforts.

Posted 7/3/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudERPJavaPySparkPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact
  • 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.
  • Design and oversee the build of AI-ready data marts that expose tax data at the right grain, maintain lineage and quality controls, and support reasoning.
  • Lead data ingestion and transformation from ERP systems, tax platforms, semi-structured documents, external data sources.
  • Apply design led thinking to embed agent and workflow governance and security.
  • Architect solutions deployable within client environments and EY-hosted platforms.
  • Act as technical authority within the CoE, developing reference architectures, patterns, and accelerators.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

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Hard Skills & Tools
Data ModellingData IntegrationDatabase DesigningAI ToolingMachine Learning LibrariesC++ ProgrammingJava ProgrammingPython ProgrammingSQL DevelopmentData Analytics
Soft Skills
Strong Communication SkillsProblem SolvingCollaboration with StakeholdersDesire to Learn
Certifications
Advanced AI CertificationMachine Learning CertificationCloud Computing CertificationData Engineering Certification