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$84K - $85K/yr

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Senior PM, Core App (6-Month Contract)

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Lark Health is looking for a Senior Product Manager to own the future of our core member app and AI coaching. At Lark, we are leading the way into a new era of cardiometabolic care, leveraging ...

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Perform integration testing for near-real-time Lambda-to-Salesforce data delivery during live calls for AI Coaching capabilities * Validate Salesforce Platform Events and Streaming API integrations ...

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How much do ai coaching jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai coaching in the United States is $19.80, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $23.08 per hour, depending on experience, location, and employer.

What is AI coaching?

AI coaching refers to the use of artificial intelligence technology to provide personalized guidance, feedback, and support to individuals or teams. It can help users set goals, track progress, and develop skills by analyzing data and offering tailored recommendations. AI coaches are used in various fields such as professional development, fitness, and education, often supplementing or enhancing human coaching. The goal is to make coaching more accessible, scalable, and data-driven, while maintaining a personalized experience.

What are the key skills and qualifications needed to thrive as an AI coach, and why are they important?

To thrive as an AI Coach, you need a solid understanding of artificial intelligence concepts, data analysis, and instructional or coaching methodologies, often supported by relevant degrees or certifications. Familiarity with AI platforms, machine learning tools, and communication or learning management systems is typically required. Outstanding interpersonal skills, active listening, and the ability to tailor guidance to diverse learners make someone stand out in this position. These skills and qualities are important to effectively support clients or teams in adopting AI technologies and achieving their development goals.

What are some common challenges faced by professionals in AI coaching, and how can they be addressed?

One common challenge in AI coaching is staying updated with the rapidly evolving AI technologies and best practices, which requires continuous learning and adaptation. Professionals may also encounter difficulties in tailoring coaching strategies to diverse learning styles and technical backgrounds of clients. Collaborating closely with subject matter experts and regularly participating in training sessions can help address these challenges. Additionally, working in cross-functional teams fosters knowledge sharing and strengthens client engagement, making it easier to deliver personalized and effective coaching.

What is the difference between Ai Coaching vs Data Analyst?

AspectAi CoachingData Analyst
Required CredentialsCertifications in AI, machine learning, coaching certificationsBachelor's or Master's in Data Science, Analytics, or related fields
Work EnvironmentConsulting, corporate training, online platformsBusiness, finance, healthcare, tech companies
Industry UsageGrowing in tech, education, and corporate sectors for personalized coachingAnalyzing data to inform business decisions across industries

While Ai Coaches focus on guiding individuals or teams in AI adoption and skills development, Data Analysts interpret data to support business strategies. Both roles require analytical skills, but Ai Coaching emphasizes coaching and training in AI tools, whereas Data Analysts focus on data analysis and reporting.

How to become an AI coach?

To become an AI coach, develop expertise in artificial intelligence, machine learning, and data analysis through relevant education such as degrees or certifications. Gaining experience with AI tools and platforms, along with strong communication skills, is essential for guiding others in implementing AI solutions. Building a portfolio or gaining certifications like those from Coursera or industry-specific organizations can enhance credibility in this role.
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Infographic showing various Ai Coaching job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $41,175 per year, or $19.8 per hour.

Oliver Wyman - AI Product Enablement Manager

New York, NY • Hybrid

$125K - $165K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Company:Oliver WymanDescription:

About Oliver Wyman

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.


As a business of Marsh, we work alongside the world's leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annualrevenueover $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

For more information, visitoliverwyman.com, or follow us onLinkedInandX.

Job Overview:

The Quotient Inside AI Product Enablement Manager leads the day-to-day execution of the AI Capability & Enablement function within Quotient Inside.

Operating at the intersection of Product Strategy and Product Delivery, this role translates firm-wide AI priorities into structured coaching, triage, experimentation, and scalable guidance.

This role serves as a linchpin between strategic intent and practical execution, owning the operating rhythms, stakeholder coordination, and workflow management that enable AI usage to scale responsibly across Oliver Wyman.

The AI Product Enablement Manager is both hands-on and systems-oriented, ensuring high-quality enablement while identifying patterns, gaps, and improvement opportunities.

Please Note: Oliver Wyman/Marsh operates a hybrid working policy of 60% in-office attendance

Key responsibilities:

Execution & Operating Model Delivery

  • Leading the day-to-day operations of the AI Capability & Enablement function, ensuring coaching, triage, experimentation, and standards-setting activities run effectively

  • Designing and managing structured workflows for intake, routing, escalation, and feedback loops

  • Tracking key performance indicators (e.g., adoption patterns, recurring use cases, response time, enablement effectiveness) and recommending course corrections

Community Engagement & Triage

  • Monitoring OW channels and serve as a clearing house for responding to AI questions and actioning requests

  • Assess inbound needs and route appropriately:

    • Direct bugs or platform issues to formal feedback mechanisms

    • Guide general AI usage questions to living exemplars, prompt libraries, or training materials

    • Connecting teams tackling similar use cases across Oliver Wyman and Marsh

Coaching & AI Experimentation

  • Providing AI coaching through office hours, working sessions, and 1:1 support with colleagues who reach out via feedback channels

  • Guiding colleagues in translating ambiguous problems into AI-solvable use cases

  • Conducting hands-on experimentation with AI tools, including:

    • Meta-prompting refinement

    • Custom GPT configuration

    • Workflow prototyping

Pattern Capture & Institutional Learning

  • Identifying recurring patterns across user requests and use cases

  • Synthesizing insights into reusable artifacts (living exemplars, blog posts, short demos, structured guides)

  • Contributing learning inputs to Product Strategy and the Director of AI Product Enablement

Stakeholder Coordination & Project Leadership

  • Leading discrete enablement initiatives from planning through execution (e.g., rollout of new prompting standards, custom GPT playbooks, adoption pilots)

  • Coordinating cross-functional contributors across Product Strategy, Design, Training & Comms, and platform teams

Experience Required:

  • You'll have at least 6 years of experience in AI enablement, digital delivery, product operations, project management, or related roles

  • Demonstrated experience of leading cross-functional initiatives with defined deliverables

  • Hands-on experience in working with AI tools and workflows (e.g., custom GPTs, prompt engineering, AI assistants)

  • Experience of operating in professional services or complex, matrixed environments preferred

Skills & Attributes:

  • A structured operator with strong project management and facilitation skills including coaching

  • Committed to AI experimentation fluency (meta-prompting, workflow testing, custom GPT exploration)

  • A strong stakeholder coordination and communication skills

  • A natural analytical thinker capable of identifying patterns and synthesizing insights

  • End-user obsessed and committed to practical impact

  • Comfortable in balancing independence with alignment to strategic direction

The applicable base salary range for this role is $125,000 to $165,000.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visitoliverwyman.com, or follow us onLinkedInandX.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.