Strategy and Execution - Platforms - Product Manager - Director

Location

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

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real‑world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI‑powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

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).

• 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 Dev Ops/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?”

• 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.

• Experience deploying AI/ML products or features into 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.

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

• A comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this role in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to…