EY-Parthenon - Strategy and Execution - Growth Platforms - Product Manager - Dir

EY-Parthenon EY Growth Platforms - AI Product Management - Director

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity: The EY Growth Platforms AI Product Management Director will play a critical role leading the development of data-driven, AI-powered agent applications that surface strategic insights across industries like insurance, CPG, and demand forecasting. You'll work with engineering leads to build multi-source insight workflows and with business stakeholders to translate customer needs into functional product specs, agent behavior, and user experiences (API, dashboard, or embedded AI).

Your key responsibilities:

• Drive end-to-end development of agentic products that combine internal, public, and licensed third-party data.
• Translate ambiguous business goals into clearly defined agent roles, workflows, data requirements, and interface specs.
• Own product roadmap and use case prioritization based on technical feasibility, customer impact, and data availability.
• Collaborate with AI/ML Engineers to validate model fit, feature strategy, and insight generation logic.
• Work with Data Engineers to assess data availability, coverage, and merge logic across insurance, consumer, market, sector and macroeconomic signals.
• Partner with DevOps/Platform teams to ensure secure, scalable, compliant delivery of outputs (dashboards, APIs, notebooks, or alerts).
• Define POC and MVP requirements and success metrics for each agent product or data application.
• Own customer-facing positioning of agent capabilities: "What does this AI agent know? How does it help solve a specific business problem?"

To qualify for the role, you must have:

• A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience
• Product management experience, ideally in data-intensive or AI/ML-driven platforms.
• Strong experience and understanding of data product lifecycle ingestion, cleaning, merging, modeling, serving.
• Proven experience leading products that sit at the intersection of business insight, data science, and engineering.
• Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
• Familiarity with the concepts behind agentic AI workflows, RAG, or data fusion for insight delivery.
• Ability to communicate clearly across technical and non-technical stakeholders from model latency to customer value.
• Deep comfort working with multi-sector data e.g., insurance filings, economic indicators, behavioral signals.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Ideally, you'll also have:

• Experience deploying AI/ML products or features into a production.
• Experience working in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
• Collaborative, problem-solving, and growth-oriented mindset.

What we look for: Deep data exposure, product managers who help define the "how", and expertise with understanding underlying ML workflows.

What we offer you:

• Future-focused skills and world-class experiences.
• A flexible environment and a diverse and inclusive culture of globally connected teams.
• A comprehensive compensation and benefits package.
• A team-led and leader-enabled hybrid model.
• A flexible vacation policy.

Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.