EY
Data and AI Specialist - Agentic Tax Processes and Platforms
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Data and AI Specialist - Agentic Tax Processes and Platforms
Data & AI Specialist – Agentic Tax Processes & Platforms
EY’s Global Tax Centre of Excellence
At EY, We’re All In to Shape Your Future with Confidence
At EY, we foster your success within a globally connected powerhouse of diverse teams. We empower you to advance your career on your terms—helping to build a better working world.
Join us and be part of shaping the future of tax technology through innovative Data & AI solutions.
The Opportunity
EY’s Global Tax Centre of Excellence (CoE) Data & AI team drives client transformation initiatives, leveraging Data & AI as core capabilities. This role seeks to:
- Architect reusable patterns and process blueprints for scalable solutions across all EY Tax technology teams in key global markets.
- Push the boundaries of AI-driven tax workflows, ensuring trusted, advanced analytics-driven decision-making for clients.
You’ll contribute to cutting-edge technology while supporting EY’s Tax transformation, shaping the future of tax compliance and risk management.
Role Purpose
The Data & AI Specialist role focuses on the design, architecture, and development of agentic tax workflows, supported by: ✅ AI-ready data products – Robust, high-quality data pipelines for trusted insights. ✅ Advanced data engineering – Ensuring seamless data integration from ERP systems, tax platforms, and external sources. ✅ Agent orchestration and AI-driven automation – Engineered models for quantum efficiency in tax processes, with built-in governance and security.
This high-impact technical role sits at the intersection of:
- Tax domain expertise
- Data architecture & engineering
- Applied AI & agentic orchestration
Key outcomes: Trusted, scalable AI agents capable of metadata-driven decision-making—deployed across clients and platforms.
Key Responsibilities
1. Agentic Workflow & AI Design
- Design agentic workflows for tax processes, including:
- Modular task-level agent responsibilities (e.g., risk detection, compliance validation).
- Cross-agent communication patterns for collaboration.
- Human-in-the-Loop (HITL) escalation models to handle edge cases.
- Define reusable agent blueprints aligned with Lean process definitions.
- Apply leading-edge agent architectures, including:
- Codex (GitHub Copilot integration)
- Factory AI frameworks
- Autonomous agent testing methodologies
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2. Data Architecture & AI-Ready Data Products
- Build robust AI data marts, ensuring:
- Granularity exposures aligned with client tax needs (deterministic/probabilistic modelling).
- End-to-end data lineage & quality controls (e.g., metadata tracking, impact analysis).
- Develop data ingestion from sources like:
- ERP systems (e.g., SAP, Oracle)
- Tax platforms (e.g., Avalara, Vertex)
- Semi-structured documents (e.g., PDFs, spreadsheets)
- External third-party registries (e.g., government API feeds)
- Optimize for AI production—ensuring low-latency, scalable transforms for machine-learning pipelines.
3. Agent Governance, Security & Compliance
- Embed workflow and agent governance frameworks to ensure:
- Integration compatibility with client governance policies (e.g., Microsoft Repair Models).
- Translation slews safeguards through real-time risk monitoring.
- Proactive error handling paths for escalation and bias-removal techniques.
- Design end-to-end lineage controls accounting for GDPR compliance and ethical AI guidelines.
Required Experience & Background
✔ 6+ years working at the intersection of:
- Data architecture (schema normalization, partitioning strategies).
- Data engineering (distributed systems, real-time processing).
- Advanced analytics pipeline development.
✔ Must-have technical skills:
- Proficiency in SQL database design and data modelling (e.g., dimensional modelling).
- Building Enterprise-scale ETL pipelines, including Spark/Hive integration.
- Hands-on experience with modern AI orchestration and tooling:
- Azure ML / Databricks / MLflow (ingestion to inference pipelines).
- LangChain (agentic orchestration based), LangGraph for workflow routing.
- Code tropism (e.g., Python + PyTorch, Scikit-learn, Hugging Face Transformers).
- Fluency in large-scale data platforms (AWS/Redshift, Snowflake, or similar).
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✔ Cognitive strengths:
- Elevated problem-solving with a focus on execution reliability.
- Concrete agile system design from conceptualizations to shipping.
Desirable Experience
An ideal candidate may also include: 🔹 Formal degree (Computer Science or related field) + advanced relevant certifications (e.g., AWS/Azure ML certs, Six Sigma). 🔹 Prior work in Taxtech or financial domain automation (preferably with AI/ML insurance). 🔹 Agentic AI theory experience (e.g., autonomous workflows, framework vs. tool conversations). 🔹 Cloud-native proficiency—balanced between serverless + persistent storage choices.
Success Metrics
Your impact will be measured by:
📊 Quality of reusable AI-ready data marts (70% adoption rate). 🚀 Scaled agent deployments with >99% uptime (no downtime dots). ⏱ Lean-to-deployment speed (cutting design cycle by 2x). 🔄 Asset reuse across clients, tax lines, and regional offices.
What We Offer
- World-class growth plan with future-focused skills development.
- Flexible environment and visionary innovation on disruptive tech (AI + cloud native).
- Guiding principle: Build a network of diverse, inclusive teams—because that's where great possibilities thrive.
👉 Ready to take your next step? Apply today.
Applying with Confidence
In alignment with EY’s commitment to equity and access, we welcome disclosure of any adjustments you may need during the process. Your contribution is valued.
About EY
Powering high-performance work EY leverages data, AI, and advanced technology to tackle the world’s most pressing challenges—чную within consulting, assurance, strategy, and tax. Across 150+ countries, EY connects sectors, partners, and interdisciplinary warfare munitions toward shared progress.
Building a better working world. We develop renewable frameworks: for clients, societies, and the planet—while fortifying market trust.
Join EY and shape the future together.
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