EY
Data and AI Specialist - Agentic Tax Processes and Platforms
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Data & AI Specialist – Agentic Tax Processes & Platforms EY | Global Tax Centre of Excellence
About the Role
At EY, we empower professionals to shape futures with confidence in a dynamic, globally connected environment. Our Global Tax Centre of Excellence Data & AI team leads transformative initiatives, leveraging Data & AI as core capabilities. This role will enable you to architect reusable patterns, build scalability across EY Tax technology teams, and drive the next generation of tax process automation.
The Data & AI Specialist will design, build, and operative agentic tax workflows—bridging tax domain expertise, data engineering, and applied AI/agent orchestration. You’ll ensure AI agents receive high-quality, timely data while pushing scalable, efficient solutions across clients and platforms.
Key Responsibilities
Agentic Workflow & AI Design
- Define agentic workflows for tax processes, including:
- Task-specific agent responsibilities
- Agent-to-agent and agent-to-human communication patterns
- Handover models, escalation routes, and feedback-driven performance loops
- Create reusable agent blueprints aligned with Lean-derived task definitions
- Apply cutting-edge methodologies (e.g., Codex, Factory.AI, GitHub Copilot) for agent design and deployment
Data Architecture & AI-Ready Data Products
- Develop tax-domain data marts—optimising granularity, lineage, and quality—for AI applications
- Build data ingestion/transformation pipelines integrating:
- ERP systems
- Tax platforms and financial software
- Semi-structured documents (e.g., PDFs, emails)
- Third-party data sources
- Ensure data supports both deterministic and probabilistic decision-making
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Agent Governance & Security
- Embed governance and security controls for agents, ensuring compatibility with clients’ systems (e.g., Microsoft Agent 365)
- Implement real-time risk management and monitoring of agent workflows
- Mitigate compliance risks while maintaining operational integrity
Required Experience & Qualifications
- 6+ years’ experience across:
- Data architecture/engineering (e.g., SQL databases, schema design)
- Modern data platforms (Azure Data Factory, Snowflake, Delta Lake)
- Advanced analytics & production ML systems
- Technical proficiency:
- Working knowledge of large-scale data integration, project data modelling, and AI-ready pipelines
- Hands-on experience with Python, PyTorch, scikit-learn, Hugging Face Transformers, or equivalent
- Familiarity with cloud environments (Azure ML, Databricks, MLflow) and AI orchestration frameworks (e.g., LangChain, LangGraph)
- Certifications valued: AI/ML/cloud/data engineering specialization
- Ability to solve complex problems (with technical rigor) and adapt to rapid innovation
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Desirable (Bonus Points)
- Bachelor’s (or higher) in Software Engineering/CS or equivalent professional experience
- Prior exposure to tax technology/financial platforms or AI workflow automation
- Understanding of agentic AI, monitoring, or task-aware autonomy
- Cloud-native data architect background (Google Vertex AI, Snowpark)
- Collaboration with proactive teams across technical micro-services
Success Measures
| KPI | Focus Area |
|---|---|
| ROI: Reusable data marts | Quality, performance, and scalablity |
| Agent deployment success | From design-to-deploy velocity |
| Cross-host reuse | Minimizing duplication across teams |
Why Join EY?
- Game-changing skills development: AI-driven training, hands-on projects led by Senior Specialists
- Flexible, inclusive culture: Tailored to balance career growth with work-life harmony
- Global impact: Solve real-world challenges for 150+ countries in assurance, consulting, and tax
Ready to shape technology that scales across industries?
EY | Building a Better Working World.
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