Data Domain Lead

Marsh McLennan is hiring a Data Domain Lead for a remote role open to applicants in United States. It pays $133k-$283k a year and Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
This is listed as a remote role.
Level classes it as a lead role.
Marsh McLennan has 614 other open roles on Level.
Posted in the last few days.

AI in this role

Company:

Mercer

Description:

Marsh is seeking a Data Domain Lead to drive the strategy, development, and adoption of enterprise data products within an assigned domain. This role will serve as the single accountable leader for turning domain data into trusted, reusable, and business-ready products that support operational processes, analytics, reporting, and AI use cases.

The ideal candidate will combine strong business acumen with data leadership experience, partnering across business, technology, architecture, governance, and regional teams to define domain priorities, establish authoritative business definitions, and deliver measurable business value. This is a highly cross-functional role that requires a product mindset, strong stakeholder engagement, and the ability to translate business needs into scalable, governed data solutions.

What can you expect?

A strategic opportunity to shape enterprise data products that support critical business processes and decisions
Visibility across business, technology, and regional leadership teams
A highly collaborative role working across architecture, engineering, governance, and operational stakeholders
The ability to influence how data is trusted, reused, and activated across the organization
An environment focused on business outcomes, measurable value, and enterprise-scale transformation

What is in it for you?

A key leadership role in advancing Marsh McLennan’s enterprise data strategy
The opportunity to drive real business impact through data product adoption and value realization
Collaboration with global colleagues and cross-functional teams
Exposure to enterprise architecture, governance, analytics, and AI initiatives
A culture that values innovation, collaboration, and continuous improvement

We will count on you to:

Own the strategy, roadmap, and measurable outcomes for an assigned data domain
Define domain scope, boundaries, and authoritative business definitions
Translate business needs into reusable, governed domain data products
Partner with business sponsors, architects, engineers, and governance teams to deliver domain capabilities
Manage the domain backlog, release priorities, and product acceptance criteria
Ensure the domain supports end-to-end business processes, not just individual systems or datasets
Lead tracer testing across real business transactions to validate data quality, handoffs, identifiers, and usability
Drive adoption across operational applications, reporting, analytics, self-service, and AI capabilities
Establish quality, governance, privacy, and control requirements within the product lifecycle
Coordinate delivery across global and regional teams, including dependencies, milestones, and risks
Measure domain success through trust, reuse, adoption, and business value
Escalate unresolved issues related to ownership, quality, capacity, and priorities

What you need to have:

Significant experience in data products, enterprise data, business data strategy, product management, or domain leadership
Strong knowledge of business process design and translation of business needs into data requirements
Experience delivering data capabilities into production and driving adoption with business stakeholders
Working knowledge of data architecture, data modeling, metadata, quality, governance, and integration
Strong stakeholder management skills across business, technology, operations, and regional teams
Proven ability to lead cross-functional initiatives without relying solely on direct authority
Strong prioritization, problem-solving, and decision-making skills
Excellent communication skills with the ability to explain complex data topics in clear business language
Ability to operate effectively in ambiguity while driving measurable outcomes

What makes you stand out?

Experience in insurance, risk, benefits, financial services, or another complex regulated industry
A product-oriented mindset with a strong focus on adoption, value realization, and business outcomes
Experience balancing enterprise consistency with regional and business-specific requirements
Demonstrated success in identifying and resolving data handoff, ownership, and quality issues across end-to-end processes
Familiarity with data activation across analytics, reporting, operational platforms, and AI use cases

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 providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to 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 require an accommodation during the application or interview process, please let us know by contacting reasonableaccommodations@marsh.com

The applicable base salary range for this role is $132,700 to $282,700.

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.

Applications will be accepted until:

How we rate this

Data Domain Lead at Marsh McLennan rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.