EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - Product Manager - Dir
EY-Parthenon, Hoboken, New Jersey, us, 07030
Overview
EY-Parthenon’s Growth Platforms – AI Product Management Director role focuses on designing, building, and scaling AI-powered solutions that drive strategic growth for Fortune 500 clients. You will collaborate with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers, and other team members to deliver data-driven agent applications that surface strategic insights across industries such as insurance, consumer goods, and macro signals. Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY embraces flexible work arrangements and a diverse, inclusive culture of globally connected teams. 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 specifications. Own 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 DevOps/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. Own customer-facing positioning of agent capabilities: “What does this AI agent know? How does it help solve a specific business problem?” Qualifications
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 with ~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, cleansing, 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 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. Experience working with multi-sector data — e.g., insurance filings, economic indicators, behavioral signals. Willingness to travel and work outside standard hours when necessary. Ideally, you’ll also have
Experience deploying AI/ML products into production. Experience in a startup and/or management/strategy consulting. Knowledge of leveraging AI tools in a business setting (e.g., Microsoft Copilot). Collaborative, problem-solving, and growth-oriented mindset. What We Look For
Deep data exposure, product managers who help define the "how" and have expertise in underlying ML workflows. What We Offer You
EY provides future-focused development, a flexible work environment, and a diverse, inclusive culture of globally connected teams. See our Total Rewards for details. Comprehensive compensation and benefits with base salary ranges and inclusions like medical/dental coverage, pension and 401(k), and paid time off. Hybrid work model with in-person collaboration expected 40-60% of the time for client-facing roles. Flexible vacation policy and designated holidays, with additional leave options for personal, family, and wellness needs. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis, including for California residents with additional information available through EY’s channels. EY is an equal employment opportunity employer. EY provides reasonable accommodation to qualified individuals with disabilities. See EY’s accessibility and contact information for accommodations.
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EY-Parthenon’s Growth Platforms – AI Product Management Director role focuses on designing, building, and scaling AI-powered solutions that drive strategic growth for Fortune 500 clients. You will collaborate with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers, and other team members to deliver data-driven agent applications that surface strategic insights across industries such as insurance, consumer goods, and macro signals. Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY embraces flexible work arrangements and a diverse, inclusive culture of globally connected teams. 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 specifications. Own 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 DevOps/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. Own customer-facing positioning of agent capabilities: “What does this AI agent know? How does it help solve a specific business problem?” Qualifications
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 with ~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, cleansing, 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 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. Experience working with multi-sector data — e.g., insurance filings, economic indicators, behavioral signals. Willingness to travel and work outside standard hours when necessary. Ideally, you’ll also have
Experience deploying AI/ML products into production. Experience in a startup and/or management/strategy consulting. Knowledge of leveraging AI tools in a business setting (e.g., Microsoft Copilot). Collaborative, problem-solving, and growth-oriented mindset. What We Look For
Deep data exposure, product managers who help define the "how" and have expertise in underlying ML workflows. What We Offer You
EY provides future-focused development, a flexible work environment, and a diverse, inclusive culture of globally connected teams. See our Total Rewards for details. Comprehensive compensation and benefits with base salary ranges and inclusions like medical/dental coverage, pension and 401(k), and paid time off. Hybrid work model with in-person collaboration expected 40-60% of the time for client-facing roles. Flexible vacation policy and designated holidays, with additional leave options for personal, family, and wellness needs. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis, including for California residents with additional information available through EY’s channels. EY is an equal employment opportunity employer. EY provides reasonable accommodation to qualified individuals with disabilities. See EY’s accessibility and contact information for accommodations.
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