Director, Health and Benefits Analytics
Marsh McLennan is hiring a Director, Health and Benefits Analytics in Hong Kong, Hong Kong SAR China. Level rates it ; you can apply on Marsh McLennan.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include analytics, actuarial and commercialization.
- Level classifies it as a lead role.
- Level lists 639 other open roles at Marsh McLennan.
- The role was posted in the last few days.
AI in this role
Director leading the scale and commercialization of AI-powered health and benefits analytics capabilities.
Company:
Marsh CommercialDescription:
Director, Health and Benefits Analytics
This role is responsible for helping scale Marsh's Health and Benefits analytics capabilities, with a focus on accelerating the development and adoption of AI-powered analytics, strengthening commercial relevance, and supporting revenue growth across global and Asia Pacific markets.
Role summary
The Director Health and Benefits Analytics partners across Health and Benefits (client facing teams, advisory specialists, digital, sales) and other parts of Marsh including Workforce and Rewards to shape newer AI-enabled analytics offerings and to support their practical adoption with clients. The role complements adjacent AI transformation and enablement responsibilities by focusing on technical credibility, advisory packaging, commercialization, and market-facing analytics support. Reporting to the Health and Benefits Data Insights leader, this position balances global product and methodology leadership with regional go-to-market execution, helping Marsh deliver more consistent, scalable, and outcome-oriented analytics solutions.
Key responsibilities
Global accountabilities
- Apply actuarial, underwriting, and benefits expertise across the analytics suite to expedite newer client offerings, shaping data strategy, colleague workflows, and the client experience so that solutions are credible, relevant, and impactful.
- Accelerate AI-enabled advisory solutions by developing repeatable advisory offerings that wrap around AI-powered analytics modules, including defining the core module elements needed to enable these solutions, such as site-of-care guidance or high-cost claims management.
- Standardize and commercialize holistic benefits benchmarking globally in collaboration with Marsh Workforce and Rewards, defining consistent methodologies, a clear product vision, and a Total Rewards buyer commercialization strategy that supports scalable, repeatable offerings.
- Support rollout, adoption, and capability uplift for analytics and AI solutions by upskilling Health and Benefit teams and client-facing colleagues to improve consistency, quality, and confidence in analytics delivery and interpretation.
Asia and Pacific accountabilities
- Drive revenue and retention through analytics-led sales and delivery support by partnering on high-value pursuits and complex client situations, leading or supporting engagements with methodological rigor and measurable outcomes.
- Lead regional analytics strategy and market representation by representing capabilities in client discussions, pursuits, RFPs, and events, and by surfacing regional needs to influence product and roadmap priorities.
- Drive rollout, adoption, and change management by translating local needs into scalable opportunities and supporting adoption through practical enablement.
Role outcomes
- Higher adoption of AI-powered analytics across Health and Benefits engagements.
- More consistent and commercially scalable benchmarking and advisory offerings.
- Improved client confidence in analytics-led recommendations and delivery.
- Stronger regional revenue contribution from differentiated analytics capabilities.
Skills and experience
- Deep health and benefits experience with actuarial, underwriting, or related analytics expertise.
- Strong understanding of benchmarking, claims, site-of-care, or benefit design analytics.
- Ability to translate technical content into practical client-facing propositions.
- Commercial acumen with experience supporting pursuits, renewals, and complex client delivery.
- Confidence influencing senior stakeholders across regions and functions.
- Experience enabling teams through training, tools, and repeatable operating models.
Working style
This role requires a collaborative leader who can operate globally while remaining responsive to regional priorities, balancing product rigor with commercial pragmatism and helping teams adopt new analytics capabilities with confidence.
Marsh (NYSE: MRSH) is 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, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to creating 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, or any other characteristic protected by applicable law.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.How we rate this
Director, Health and Benefits Analytics at Marsh McLennan rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where actuarial was part of your work. What did you do?
- Tell me about a project where commercialization was part of your work. What did you do?
- Tell me about a project where benefits consulting was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Analytics, Actuarial, Commercialization, and Benefits Consulting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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