Data and AI Lead – Agentic Tax Processes and Platforms

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing agentic workflows and architecting AI-ready data solutions, with a strong focus on data governance, quality, and integration. Proficient in leading data engineering efforts and applying advanced analytics in production environments.

Highest-signal resume keywords

Data ArchitectureAI/ML ApplicationSQL Database DesignData GovernanceProgramming in Python

ATS Keywords

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Hard Skills

Data ModellingData IntegrationDatabase DesigningAI ToolingMachine Learning LibrariesC++ ProgrammingJava ProgrammingPython ProgrammingSQL DevelopmentData Analytics

Soft Skills

Strong Communication SkillsProblem SolvingCollaboration with StakeholdersDesire to Learn

Tools & Technologies

Azure MLDatabricksMLflowLangChainLangGraph

Certifications & Qualifications

Advanced AI CertificationMachine Learning CertificationCloud Computing CertificationData Engineering Certification

Industry Keywords

Agentic WorkflowsLean MethodologiesData GovernanceFeedback LoopsPerformance Monitoring

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