Description: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
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.
