EY-Parthenon - AI Business Solutions - AI Labs - Product Manager - Director

Overview

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 to build a better working world.

EY-Parthenon – AI Labs Product Management - Director

The opportunity

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.

• 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 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.

• Experience deploying AI/ML products or features into a production.
• Experience working in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a…