Strategy and Execution - Platforms - Product Manager - Director

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

Location:

Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle

At EY, we are committed to shaping a future where diverse teams drive impactful results. The EY Growth Platforms AI Product Management Director will collaborate with cross‑functional leaders to design, build, and scale AI products that deliver strategic growth across industries such as insurance, consumer packaged goods, and demand forecasting.

• Lead end‑to‑end development of agentic products that integrate internal, public, and licensed third‑party data.
• Translate ambiguous business objectives into clear agent roles, workflows, data requirements, and interface specifications.
• Own the product roadmap and prioritize use cases 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 Dev Ops/Platform teams to ensure secure, scalable, and compliant delivery of outputs (dashboards, APIs, notebooks, or alerts).
• Define POC and MVP requirements and success metrics for each agent product or data application.
• Communicate the value and capabilities of AI agents to customers and stakeholders.

• Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field with 5+ years of experience; or a graduate degree with ~3 years of experience.
• Product management experience, ideally with data‑intensive or AI/ML‑driven platforms.
• Deep understanding of the data product lifecycle (ingestion, cleaning, merging, modeling, serving).
• Proven track record leading products at the intersection of business insight, data science, and engineering.
• Experience with structured data merging, schema linking, and large‑scale model evaluation.
• Knowledge of agentic AI workflows, RAG, or data fusion for insight delivery.
• Excellent communication skills across technical and non‑technical audiences.
• Comfort working with multi‑sector data (e.g., insurance filings, economic indicators, behavioral signals).
• Willingness to travel and work extended hours when needed.

• Deployment of AI/ML products into production.
• Experience in a startup environment and/or management or strategy consulting.
• Familiarity with AI tools in a business context, such as Microsoft Copilot.
• Collaborative, problem‑solving, and growth‑oriented mindset.

• Competitive base salary range: $205,000 – $235,000 (US locations); additional performance‑based awards.
• Comprehensive medical, dental, pension, 401(k), and paid time off package.
• Hybrid work model: 40‑60% in‑office for external client‑serving roles.
• Flexible vacation policy with additional EY paid holidays and leaves.

Are you ready to shape your future with confidence? Apply today.

EY provides equal employment opportunities to all applicants and employees, regardless of race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.