ph3The opportunity /h3 pEY’s Integral 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. /p pYou 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. /p h3Role Purpose /h3 pThe Data AI Lead role is responsible for designing and architecting agentic tax workflows, underpinned by AI‑ready data products and robust data engineering. /p pThis role sits at the intersection of: /p ul liTax domain understanding /li liData architecture and engineering /li liApplied AI and agent orchestration /li /ul pIt ensures that agents are fed with trusted, timely, well‑structured data and are deployed in a way that scales across clients and platforms. /p h3Key Responsibilities but not limited to: /h3 pAgentic Workflow AI Design /p ul liDesign agentic workflows for tax processes, including: ul litask‑level agent responsibilities /li liagent‑to‑agent communication patterns /li lihuman‑in‑the‑Loop and escalation models /li lifeedback loops and agent performance monitoring and evaluations /li liDefine reusable agent blueprints aligned to Lean‑derived task definitions /li liApply leading edge agentic driven design and build methodologies eg. use of Codex, Factory ai, GitHub Copilot /li /ul /li /ul pData Architecture AI‑Ready Data Products /p ul liDesign and oversee the build of AI‑ready data marts that: ul liexpose tax data at the right grain /li limaintain lineage and quality controls /li lisupport deterministic and probabilistic reasoning /li /ul /li liLead data ingestion and transformation from:



ul liERP systems /li litax platforms /li lisemi‑structured documents /li liexternal data sources /li /ul /li /ul pAgent Governance Security /p ul liApply design led thinking to embed agent and workflow governance and security: ul liEnsure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365) /li liDesign and embedded real time controls and risk monitoring /li /ul /li /ul pPlatform Strategy /p ul liArchitect solutions deployable: ul liwithin client environments (e.g. ServiceNow with workflow‑orchestrated agents), and /li liwithin EY‑hosted platforms /li /ul /li liEnsure EY retains reusable IP through: ul liagent blueprints /li lidata mart patterns /li liorchestration logic /li lidelivery assets eg. design and build agents /li lisecurity governance blueprints /li /ul /li /ul pCoE Asset Development /p ul liAct as technical authority within the CoE /li liDevelop reference architectures, patterns, and accelerators /li liSupport PoCs, pilots, and scaled deployments /li /ul h3Required Experience Background /h3 ul liBachelor's degree in computer science engineering or equivalent work experience. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous. /li li15+ years’ experience across data architecture, data engineering, and analytics including building SQL database, database designing and data modelling. /li liHands‑on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow,



LangChain, LangGraph. /li liStrong grounding in: ul lidata modelling /li lidata governance and quality /li lilarge‑scale data integration /li /ul /li liHands‑on experience applying AI/ML or advanced analytics in production environments /li liProficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e.g. PyTorch, PySpark, scikit‑learn, Hugging Face Transformers). /li liComfortable working with both business stakeholders and data ai engineers /li liExperience shaping technical strategy and operating models /li liStrong verbal and written communication skills /li liExcellent problem solving skills and unsatiable desire to learn and keep up with technology developments. /li /ul h3Desirable Experience /h3 ul liPrior work in Tax Technology or Finance platforms /li liExperience with agentic AI concepts, orchestration, or workflow‑driven automation /li liExposure to cloud‑based data platforms and modern AI stacks /li /ul h3Success Measures /h3 ul liQuality and reusability of AI‑ready data marts /li liStability and scalability of agent deployments /li liSpeed from Lean design to working agent /li liReuse of assets across clients and service lines /li /ul h3What we offer you /h3 pAt 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. /p pAre you ready to shape your future with confidence? Apply today. /p pTo 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. /p /p #J-18808-Ljbffr

📌 Data and AI Lead - Agentic Tax Processes and Platforms (España)
🏢 Ey
📍 España