Strategy and Execution - Platforms - Product Manager - Director

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

Location:

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

At EY, we help clients shape the future with confidence. The EY Growth Platforms AI Product Management Director will collaborate with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for Fortune 500 clients.

• 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 macro‑economic 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 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.

• A comprehensive compensation and benefits package that rewards performance and recognizes the value you bring. Base salary ranges from $205,000 to $235,000. Individual salaries are determined by education, experience, skills and geography. Total rewards include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
• Hybrid model: most people in external, client‑serving roles work together in person 40‑60% of the time throughout engagements.
• Flexible vacation policy that lets you decide how much vacation time you need based on personal circumstances. You’ll also receive time off for designated EY paid holidays, winter/summer breaks, personal/ family care, and other leaves of absence when needed.

Mid‑Senior Level

Full‑time

Other – Business Consulting and Services

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

EY accepts applications for this position on an ongoing basis.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

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