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

Locations include: New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle. The Opportunity EY-Parthenon combines strategy, transactions and corporate finance with AI-driven technology to deliver real‑world value. As an AI Product Management Director, you will collaborate with business leaders, engineers, data scientists and project managers to design, build and scale AI solutions that power strategic growth initiatives for Fortune 500 clients. Your key responsibilities You will lead the development of data‑driven, AI‑powered agent applications that surface strategic insights across industries such as insurance, consumer packaged goods and demand forecasting. You’ll build multi‑source insight workflows with engineering leads and translate customer needs into functional product specifications—API, dashboard, or embedded AI. Skills and attributes for success 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 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?” Required qualifications A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics or related field plus 5 years of related work experience; OR a graduate degree with approximately 3 years of related experience. Product management experience, ideally in data‑intensive or AI/ML‑driven platforms. Strong experience and understanding of the data product lifecycle—ingestion, cleaning, merging, modeling, serving. Proven experience leading products 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 agentic AI workflows, RAG or data fusion for insight delivery. Ability to communicate clearly across technical and non‑technical stakeholders. Deep comfort working with multi‑sector data—e.g., insurance filings, economic indicators, behavioral signals. Willingness to travel and work in excess of standard hours when necessary. Preferred qualifications 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, growth‑oriented mindset. Benefits Base salary range: $205,000 to $235,000. Total rewards include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off. Hybrid work model: most client‑serving roles work in person 40‑60% of the time. Flexible vacation policy—time off is based on individual circumstances and includes EY Paid Holidays, Winter/Summer breaks, personal/family care and other leaves of absence. We provide equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. We are committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or during any part of the application process, please call 1‑800‑EY‑HELP3 and follow the instructions provided. #J-18808-Ljbffr Ernst & Young Oman