Marsh is seeking a Data Domain Lead to support the strategy, development, and adoption of enterprise data products within an assigned domain. This role will be accountable to turn 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 experience, partnering across business, technology, architecture, governance, and regional teams to support domain priorities, help maintain authoritative business definitions, and contribute to measurable business value. This is a highly cross-functional role that requires a product mindset, strong stakeholder engagement, and the ability to help translate business needs into scalable, governed data solutions.
What can you expect?- An opportunity to contribute to 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 contribute to how data is trusted, reused, and activated across the organization
- An environment focused on business outcomes, measurable value, and enterprise-scale transformation
- A key contributor role in advancing Marsh's data strategy
- The opportunity to drive real business impact through data product adoption and value realization
- Collaboration with colleagues and cross-functional teams
- Exposure to enterprise architecture, governance, analytics, and AI initiatives
- A culture that values innovation, collaboration, and continuous improvement
- 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
- Support management of 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
- Assist in coordinating delivery across global and regional teams, including dependencies, milestones, and risks
- Contribute to measuring domain success through trust, reuse, adoption, and business value
- Escalate unresolved issues related to ownership, quality, capacity, and priorities
- Experience in data products, enterprise data, business data strategy, or product management
- Strong knowledge of business process design and translation of business needs into data requirements
- Experience contributing to delivering data capabilities into production and supporting adoption with business stakeholders
- Working knowledge of data architecture, data modeling, metadata, quality, governance, and integration
- Strong stakeholder collaboration skills across business, technology, operations, and regional teams
- Ability to contribute to 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
- 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
Skills Required
- Experience in data products, enterprise data, business data strategy, or product management
- Strong knowledge of business process design and translating business needs into data requirements
- Experience delivering data capabilities into production and supporting adoption with business stakeholders
- Working knowledge of data architecture, data modeling, metadata, data quality, governance, and integration
- Strong stakeholder collaboration skills across business, technology, operations, and regional teams
- Ability to contribute to cross-functional initiatives without relying solely on direct authority
- Strong prioritization, problem-solving, and decision-making skills
- Excellent communication skills and ability to explain complex data topics in clear business language
- Ability to operate effectively in ambiguity while driving measurable outcomes
- Experience in insurance, risk, benefits, financial services, or another complex regulated industry
- Product-oriented mindset focused on adoption, value realization, and business outcomes
- Experience balancing enterprise consistency with regional and business-specific requirements
- Demonstrated success 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 McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
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What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.








