Data Agent Product Owner
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Job Description
Data Agent Product Owner at EY, developing AI and Agentic capabilities in data management. Leading innovation initiatives and enhancing services via data-driven AI solutions.
Responsibilities:
- Develop a comprehensive Data Agent offering, including solution design, commercial models, and support structures.
- Establish standards, methods, and tools to ensure consistent and scalable Data Agent development.
- Define the Agentic Data Stewardship framework in collaboration with the Data Stewardship Office.
- Support related EY Innovation initiatives, contributing to and leveraging a shared portfolio of agentic capabilities.
- Integrate Data Agents with EY.ai Data Marketplace and the EY.ai Simulation Hub to support the broader AI Ready Data Strategy.
- Manage adoption by managing demand, tracking usage, and measuring outcomes using clear KPIs.
- Develop training content for the AI Ready Data Academy and cultivate a community of practice.
- Communicate the value proposition of Data Agents to both internal and external audiences.
- Support regional and service line data teams to promote adoption and identify high‑value use cases.
- Design and delivery of technical integrations, including MCP server, enterprise data catalog, analytics tools, and Semantic Layer, knowledge graph platforms such as PoolParty (Graphwise)
Requirements:
- Undergraduate degree, preferably in computer science, maths or engineering
- Master’s in Business Administration is a plus
- Demonstrable skills with AI and Agentic capabilities – fluent in all aspects of agentic tools, platforms and capabilities
- Proven experience across the data management lifecycle – including data quality, data modelling, data engineering etc
- Business acumen to translate client needs into actionable solutions.
- Strong leadership and communication skills, with the ability to engage and influence stakeholders.
Benefits:
- Flexible environment
- Future-focused skills development
- World-class experiences
- Diverse and inclusive culture of globally connected teams
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