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

Marsh McLennan•Chicago, IL

10h•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 to ensure features are grounded in end-user needs, aligned with business priorities, and ready for execution. This role combines structured problem solving, product ownership, stakeholder coordination, and executive communication to move experiences from concept to launch and continuously evolve them based on user needs. The position supports discovery, prioritization, roadmap and sprint planning, business case development, delivery readiness, launch and adoption planning, and continuous improvement.

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.
Skills in product requirements development and documentation, backlog management, prioritization, initiative sequencing, roadmap planning, work planning, and dependency tracking.
Experience with business case development, structured problem solving, executive presentation development, and strong PowerPoint capability.
Familiarity with AI-enabled products, internal platforms, and workflow tools.
Knowledge of Agile delivery practices, including sprint planning, backlog refinement, and sprint demos.
Structured problem-solving ability, strong ownership mindset, and sound judgment.
End-user focus and outcome orientation, with the ability to translate 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.
Ability to work independently within defined strategic direction.
Organization, proactivity, and 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 structured product requirements, features, user stories, acceptance criteria, and success measures.
Manage assigned product backlogs and clarify scope, expected outcomes, dependencies, risks, and decision points.
Provide product teams with clear, actionable inputs and direction aligned with leadership and product intent.
Support and co-lead discovery activities, including interviews, workshops, and refinement, in partnership 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 roadmap 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.
Serve as the primary coordination point for 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 developed recommendations.
Develop executive-ready materials to support prioritization and leadership alignment.
Contribute to business cases 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.
Keep requirements clear, current, and actionable as features evolve through refinement.
Facilitate product demos and accept stories against acceptance criteria, ensuring 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.