Data and AI Lead – Agentic Tax Processes and Platforms

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• 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

• 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

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