Oliver Wyman - AI Product Owner, Product Strategy - Chicago/Dallas

Marsh McLennan•Chicago, IL

1d•$125,000 - $165,000•Hybrid

About The Position

Quotient Inside is seeking an AI Product Owner, Product Strategy, to bridge product strategy and delivery execution across AI-enabled products, platforms, and capabilities. The role owns the product experience and leads defined product workstreams, translating strategic direction into delivery-ready requirements, prioritized backlogs, and delivery plans. The AI Product Owner partners with Product Strategy, Design, Research, Engineering, Enablement, AI Capability & Adoption, and consulting teams. The role ensures features are grounded in end-user needs, aligned to business priorities, and prepared for successful execution. It combines structured problem solving, product ownership, stakeholder coordination, and executive communication to take experiences from concept to launch and continuously evolve them based on user needs. The position supports assigned products or capabilities from concept through launch, adoption, and iteration; shapes requirements, features, user stories, acceptance criteria, and success measures; and coordinates prioritization, work planning, delivery readiness, launch activities, and continuous improvement. It also contributes to business cases and executive materials, facilitates discovery and planning, and helps establish repeatable product practices. Marsh follows a hybrid work model, with colleagues expected to work from their local office or onsite with clients at least three days per week.

Requirements

4–8 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.
Proficiency in product requirements development and documentation.
Skills in backlog management, prioritization, and initiative sequencing.
Skills in roadmap planning, work planning, and dependency tracking.
Business case development and structured problem-solving skills.
Executive presentation development and strong PowerPoint capability.
Familiarity with AI-enabled products, internal platforms, and workflow tools.
Knowledge of product requirements development, feature and story writing, prioritization and sequencing, and backlog management.
Knowledge of Agile delivery practices, including sprint planning, backlog refinement, and sprint demos.
Structured problem solver with a strong ownership mindset and sound judgment.
End-user-focused and outcome-oriented, with the ability to turn user needs, feedback, and usage signals into product enhancements and delivered value.
Strong stakeholder management, facilitation, written and verbal communication, and executive storytelling skills across functions and seniority levels.
Ability to translate ambiguity into clear requirements, decisions, and action plans.
Clear written and verbal communication and storytelling capability.
Comfort operating independently within defined strategic direction.
Organized and proactive, with the ability to manage competing priorities in complex, matrixed environments.

Nice To Haves

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, LLM/RAG-enabled workflows, AI output evaluation, and non-deterministic validation.

Responsibilities

Own defined products or capabilities from concept through launch, adoption, and continuous iteration.
Translate strategic direction and epics into product requirements, features, user stories, acceptance criteria, and success measures.
Manage assigned product backlogs and clarify scope, outcomes, dependencies, risks, and decision points.
Provide product teams with clear, actionable direction aligned with leadership and product intent, and maintain accountability for effective feature execution.
Support and co-lead discovery interviews, workshops, and refinement activities with Design, Research, Product Strategy, and Product teams.
Translate user needs, research findings, practitioner pain points, operational friction, and feedback into actionable work items.
Build high-level mock-ups to support design teams.
Drive prioritization discussions, balancing user value, business impact, feasibility, and strategic alignment.
Support product team roadmaps and sprint planning through sequencing, dependency mapping, and trade-off analysis.
Develop and maintain feature workplans, coordinating timelines, milestones, and deliverables across teams.
Monitor progress, feedback, and usage signals and recommend adjustments to scope, assumptions, risks, or priorities.
Coordinate assigned products across Product Strategy, Engineering, Enablement, Design, Research, AI Capability & Adoption, and consulting stakeholders.
Build relationships across functions, regions, and seniority levels to align perspectives into coherent plans.
Escalate risks and decision points with well-developed recommendations.
Develop executive-ready materials for prioritization and leadership alignment.
Contribute to AI product and capability business cases, articulating value, risk, adoption impact, and expected outcomes.
Translate complex product and AI concepts into clear narratives for senior audiences.
Partner with product teams to keep requirements clear, current, and actionable as features evolve.
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 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 the transition from strategy to execution and product delivery.