AI Product Manager

Company: WTW External Careers Site

Location: New York, NY, United States

Salary: $225k - $300k per year

Type: Full-time

Posted: 2026-06-03

About this role

The Role

The AI Product Manager is a pivotal connector between business strategy and intelligent product delivery—translating complex organisational needs into clear, prioritised requirements and driving coordinated execution across Product Owners and cross-functional teams. This role sits at the intersection of business analysis and AI enablement, accountable for requirements gathering, stakeholder alignment, and ensuring that every product initiative is well-defined, technically feasible, and tied to measurable outcomes.

The AI Product Manager shapes how AI and data-driven capabilities move from concept to production. Where the portfolio includes machine learning models, generative AI features, or intelligent automation, this role is the critical bridge—translating real-world business problems into modelling requirements, assessing data readiness and technical feasibility, and defining success metrics that capture both model performance and business impact.

The Requirements

Business Requirements & Discovery

  • Leads requirements discovery across stakeholders through workshops, interviews, and process reviews.
  • Elicits, documents, and validates business needs, user needs, pain points, and desired outcomes; translate into clear problem statements and requirements.
  • Develops artifacts such as business requirement documents (BRDs), epics/features, use cases, user journeys, acceptance criteria, and process flows.
  • Ensures requirements reflect regulatory, legal, privacy, security, and operational considerations; engaging the right SMEs early.

Analysis, Prioritization Support & Decision Enablement

  • Analyzes qualitative and quantitative inputs (client feedback, operational metrics, adoption/usage data, defect trends) to refine requirements and recommendations.
  • Supports the Product Leader with data-backed insights, business cases, and trade-off options (scope, timeline, cost, risk).
  • Helps assess value, impact, dependencies, and feasibilit...

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