EY EY-Parthenon - AI Business Solutions 

United States, New York, New York 

223210492

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.

Skills and 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.

· 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.

To qualify for the role, you must have

· A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 8 years of related work experience; or a graduate degree and approximately 7 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.

Ideally, you will have

· 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 business setting, including Microsoft Copilot.

· Collaborative, problem-solving, and growth-oriented mindset.