Marsh McLennan
Head of Data Strategy and Enablement
New York - 1166 · Senior
Sponsorship not specified$12k-$15kDetected 8 days ago
AlgorithmsDatabricksAzureMachine LearningdbtLLMsMLOpsProduct ManagementStakeholder ManagementResearchLeadershipCommunicationCollaborationMentoring
Stay score
odds of building a lasting career here
34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$87,2561 entry
Level II$115,8352 entries
Level III$144,4143 entries
Level IV$172,9944 entries
The bottom of this range ($12,000) is below the Level I prevailing wage of $87,256. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Leading ~20 experts across the US, UK and Brazil, the team innovates with data technologies, including extensive use of AI capabilities, to continuously improve the data-driven capabilities of Marsh Re.
- There is an additional focus on client advisory: the data-led reinsurance analytics work that wins and retains business.
- You will turn those learnings into new data and AI products that scale across the client base and help push the frontier of Marsh Re's data and AI work.
Responsibilities
- Support analytics-led advisory that wins new business and retains clients-bringing quantitative firepower to clients' risk and capital decisions
- Co-develop and discover new, scalable AI products with our broking, analytics and advisory teams, shaping high-value use cases into repeatable solutions
- Own the data-product lifecycle (discovery → delivery → launch → continuous improvement); build revenue-generating products and scale them across clients and markets
- Partner closely with GC IT to industrialize what the team provides - moving mature prototypes and IP cleanly from innovation into firm-wide production and scale
- Leads with growth-oriented leadership mindset-coaching others, elevating performance through timely feedback, and building an inclusive environment that supports accountability and development.
- Lead and mentor the team - data engineers, alongside data scientists, software developers, and product managers - managing technical leads and product managers
- Build a culture that pairs engineering rigor with commercial and product instinct, and is comfortable engaging with internal and external clients
- Lead the quarterly business reviews delivered to Executive Committee members as well as investment cases and roadmap trade-offs.
- Demonstrated ability to build and scale data/AI products (productization, not bespoke delivery)
- Client-facing credibility - able to lead advisory engagements and engage with client and executive teams.
Requirements
- Advanced degree in a quantitative field (or equivalent demonstrated experience)
- Experience with a forward-deployed / embedded client-delivery model
- Hands-on experience with LLM/GenAI in production, with responsible AI lens
Compensation
- 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.
Benefits
- Advance machine learning, predictive analytics, and applied GenAI products from research into production
Company info
- Description:
- Reporting to the Chief Operating Officer, this combined commercial, product, and technical leadership role drives the firm's data strategy, enabling colleagues to benefit from our extensive data platform, and derive insights which deliver value to them and our clients.
- An emerging forward-deployed practice will support broking and analytics colleagues who are advising clients, using the data and AI products we've built on our data lake.
- This role is based in New York City.
- We will rely on you for:
- Client advisory
- Engage clients and markets with the firm's internally built, AI-oriented products (built on our data lake), making them a reason that clients engage and stay
- Advise clients on building their own data and AI strategy: assess where they are, design the target operating model and roadmap, and help them stand up scalable AI capabilities - with the credibility of a firm that has done it (proof-by-practice, not slideware)
- Deploy engineers forward (embedded in our broking teams) to solve real problems using clients' actual data
- Product innovation that scales a deliberate feedback loop: turn what forward-deployed teams learn in the field into productized data/AI capabilities that scale across the client base - build once, deliver to many
- Prioritize strictly by client value, commercial impact, and feasibility - avoid one-offs that don't generalize
- Frontier data, AI & innovation platform
- Lead the firm's frontier data and related AI work: net-new capability, applied AI/GenAI, and the data foundations that new models depend on - keeping the firm ahead of the market
- Champion data quality, governance, security, and responsible AI.
- Data Strategy & Governance
- Further extend our enterprise-wide Data Governance framework that includes:
- Clear governance, ownership, and policies: defined data ownership, management and stewardship across the business and IT, a standardized metadata catalogue, and policies for access
- Modern, scalable cloud-native architecture based on group strategic platforms, including Azure Data Lake (ADLS), Databricks, DBT and PowerBI
- Trusted data through quality and master-data management: form-wide data quality rules, and automated profiling and remediation
- Value delivery: analytics, MLOps, and a data-driven culture to deliver Client Advisory capabilities as described in the next section
- People & organization
Apply directly at Marsh McLennan →Create a free account for alerts like thisView Marsh McLennan immigration profile
This listing is sourced directly from Marsh McLennan's careers page and normalized into a canonical job model.