AI Business Solutions - AI Labs - Product Manager - Director

EY-Parthenon – AI Labs Product Management – Director

Location:

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

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

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.

Within the EY‑Parthenon service line, the AI Labs Product Manager 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.

The AI Labs Product Manager will play a critical role leading the development of data‑driven, AI‑powered agent applications that surface strategic insights across EY Parthenon’s sub‑sector lines. You’ll work with engineering leads to build multi‑source insight workflows and with business stakeholders to translate business needs into functional product specs, agent behavior, and user experiences.

• 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 Engineers to validate model fit, feature strategy, and insight generation logic.
• Define POC and MVP requirements and success metrics for each agent product or data application.
• Prioritize features based on client value, business impact, and technical feasibility.
• Work closely with engineering, design, and architecture to ensure timely and high‑quality delivery.
• Partner with cross‑functional teams on go‑to‑market plans and adoption strategies.
• Communicate progress, risks, and decisions with clarity across levels.

• 5‑8+ years of product management experience with a proven track record of successfully launching and managing products throughout their lifecycle.
• 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.
• Excellent written and verbal communication skills, with experience presenting to stakeholders at all levels, including executive leadership.
• Familiarity with agile methodologies and product management tools.
• Ability to effectively communicate with cross‑functional teams and drive alignment on product priorities.
• Passion for innovation and a deep understanding of market trends in AI and technology.

• 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.
• 5‑8+ years of product management work experience with a proven track record of successfully launching and managing products throughout their lifecycle.
• Product management experience, ideally in data‑intensive or…