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AI Business Solutions - AI Labs - Product Manager - Director

Job in Detroit, Wayne County, Michigan, 48228, USA
Listing for: EY-Parthenon
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Product Designer, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: EY-Parthenon - 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

EY is a global consulting firm with a full spectrum of services: assurance, consulting, tax, strategy, and transactions. EY-Parthenon’s AI Labs Product Management team partners with CEOs, Boards, Private Equity, and Governments to build AI-powered solutions.

About the role

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.

Your

Key Responsibilities
  • 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.
  • 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.
  • 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.
  • Partner with cross-functional teams on go-to-market plans and adoption strategies.
  • Communicate progress, risks, and decisions with clarity across levels.
Skills & 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 Engineers to validate model fit, feature strategy, and insight generation logic.
  • 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.
Qualifications
  • 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.
Desired Experience (Optional)
  • 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, and growth-oriented mindset.
We Look For

We are interested in talented professionals with the ability to visualize our clients’ goals and think creatively to facilitate them. If you have an entrepreneurial spirit, and a genuine passion for taking on new challenges, this role is for you.

Benefits & Compensation
  • Comprehensive compensation and benefits package, including base…
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