EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - Product Manager - Dir
EY-Parthenon, Boston, Massachusetts, us, 02298
Overview
EY-Parthenon – Strategy and Execution – Growth Platforms – AI Product Management Director (Director level). Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY-Parthenon’s Growth Platforms combines transformative strategy, transactions and corporate finance to deliver real-world value. With deep functional and sector expertise, paired with AI-powered technology, we partner with CEOs, Boards, Private Equity and Governments to enable you to shape your future with confidence. Your Key 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 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 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?” 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 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 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 beyond standard hours when necessary Ideally, you’ll also have
Experience deploying AI/ML products or features 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 expertise with understanding underlying ML workflows. What We Offer You
Comprehensive compensation and benefits package with base salary range $205,000 to $235,000; total rewards include medical/dental, pension/401(k), and paid time off. Salaries based on education, experience, knowledge, skills, and geography. Hybrid model: most client-facing roles are expected to work in person 40-60% of the time over an engagement, project, or year. Flexible vacation policy with designated EY holidays and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, additional information is available. EY is committed to equal employment opportunities regardless of 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. EY provides reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. For assistance applying online or to request accommodations, contact EY’s Talent Shared Services Team.
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EY-Parthenon – Strategy and Execution – Growth Platforms – AI Product Management Director (Director level). Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY-Parthenon’s Growth Platforms combines transformative strategy, transactions and corporate finance to deliver real-world value. With deep functional and sector expertise, paired with AI-powered technology, we partner with CEOs, Boards, Private Equity and Governments to enable you to shape your future with confidence. Your Key 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 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 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?” 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 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 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 beyond standard hours when necessary Ideally, you’ll also have
Experience deploying AI/ML products or features 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 expertise with understanding underlying ML workflows. What We Offer You
Comprehensive compensation and benefits package with base salary range $205,000 to $235,000; total rewards include medical/dental, pension/401(k), and paid time off. Salaries based on education, experience, knowledge, skills, and geography. Hybrid model: most client-facing roles are expected to work in person 40-60% of the time over an engagement, project, or year. Flexible vacation policy with designated EY holidays and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, additional information is available. EY is committed to equal employment opportunities regardless of 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. EY provides reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. For assistance applying online or to request accommodations, contact EY’s Talent Shared Services Team.
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