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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

AI Product Owner - Product Strategy

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Four to eight years of experience in product ownership, product management, consulting, strategy, digital delivery, or related fields.
  • Experience owning defined products, capabilities, or features from concept through build, launch, adoption, and continuous iteration.
  • Experience translating business needs and strategic priorities into structured product requirements, features, user stories, acceptance criteria, and success metrics.
  • Experience facilitating stakeholder discussions, discovery, workshops, feature and backlog refinement, prioritization and planning sessions, and decision-making sessions.
  • Develop and document product requirements; manage and prioritize backlogs and sequence initiatives; plan roadmaps and work, and track dependencies.
  • Develop business cases and apply structured problem solving.
  • Develop executive presentations using PowerPoint.
  • Demonstrate familiarity with AI-enabled products, internal platforms, and workflow tools.
  • Apply Agile delivery practices, including sprint planning, backlog refinement, and sprint demos.
  • Demonstrate end-user focus and outcome orientation, translating user needs, feedback, and usage signals into product enhancements and delivered value.
  • Manage stakeholders and facilitate written and verbal communication and executive storytelling across functions and levels of seniority.
  • Translate ambiguity into clear requirements, decisions, and action plans.
  • Operate independently within defined strategic direction and manage competing priorities in complex, matrixed environments.

Responsibilities

  • Own defined products or capabilities from concept through launch, adoption, and continuous iteration.
  • Translate strategic direction and epics into structured product requirements, features, user stories, acceptance criteria, and success measures.
  • Manage the backlog for assigned products and clarify scope, expected outcomes, dependencies, risks, and decision points for product teams.
  • Maintain accountability for effective feature execution, ensuring product teams receive clear, actionable inputs and direction aligned to leadership and product intent.
  • Support and co-lead discovery activities such as interviews, workshops, and refinement activities in partnership with Design, Research, Product Strategy, and Product teams.
  • Translate user needs, research findings, practitioner pain points, operational friction, and user feedback into actionable work items.
  • Build high-level mock-ups to support design teams.
  • Drive prioritization discussions for assigned epics and features, balancing user value, business impact, feasibility, and strategic alignment.
  • Support product team-level roadmap and sprint planning through structured sequencing, dependency mapping, and trade-off analysis.
  • Develop and maintain workplans for assigned features, coordinating timelines, milestones, and deliverables across teams.
  • Monitor progress, feedback, and usage signals to recommend adjustments to scope, assumptions, risks, or priorities.
  • Serve as the primary coordination point for assigned products across Product Strategy, Engineering, Enablement, Design, Research, AI Capability & Adoption, and consulting stakeholders.
  • Build productive relationships across functions, regions, and levels of seniority to align diverse perspectives into coherent plans.
  • Escalate risks and decision points with well-developed recommendations.
  • Develop executive-ready materials that support prioritization and leadership alignment.
  • Contribute to business case development for AI-enabled products and capabilities, articulating value, risk, adoption impact, and expected outcomes.
  • Translate complex product and AI concepts into clear narratives for senior audiences.
  • Partner closely with product teams to ensure requirements remain clear, current, and actionable as features evolve through refinement.
  • Facilitate product demos and accept stories against acceptance criteria, ensuring delivered functionality aligns with user needs, product intent, and expected value.
  • Support launch readiness and adoption planning activities for assigned products.
  • Track feedback, usage signals, and lessons learned to identify opportunities for iteration and improvement.
  • Contribute to repeatable product practices, templates, and playbooks that improve how strategy moves into execution and how products are delivered.

Desired Qualifications

  • Experience delivering AI-enabled products, digital platforms, workflow automation, or technology-enabled transformation.
  • Experience operating in professional services or similarly complex, matrixed organizations.
  • Experience with AI-enabled products, large language model/retrieval-augmented generation-enabled workflows, AI output evaluation, and non-deterministic validation.

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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