Data Domain Lead

Marsh McLennan•Chicago, IL

3d•Hybrid

About The Position

Marsh is seeking a Data Domain Lead to drive the strategy, development, and adoption of enterprise data products within an assigned domain. This role is the accountable leader for turning domain data into trusted, reusable, business-ready products that support operational processes, analytics, reporting, and AI use cases. The position partners across business, technology, architecture, governance, and regional teams to define domain priorities, establish authoritative business definitions, and deliver measurable business value. It requires a product mindset, strong stakeholder engagement, and the ability to translate business needs into scalable, governed data solutions. The role offers an opportunity to shape enterprise data products and advance Marsh McLennan’s enterprise data strategy, working with global colleagues and teams across architecture, engineering, governance, analytics, AI, and operations. Marsh describes its environment as collaborative, focused on innovation, continuous improvement, enterprise-scale transformation, and measurable business outcomes. Marsh is committed to a diverse, inclusive, and flexible work environment. The company uses a hybrid work model: colleagues are expected to work from their local office or onsite with clients at least three days per week. Office-based teams identify at least one weekly anchor day for the full team to work together in person. The applicable base salary range is $132,700 to $282,700, with possible performance-based incentives. The total rewards package includes health and welfare benefits, tuition assistance, 401(k) savings and other retirement programs, and employee assistance programs.

Requirements

Significant experience in data products, enterprise data, business data strategy, product management, or domain leadership.
Strong knowledge of business process design and translating 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, including explaining complex data topics in clear business language.
Ability to operate effectively in ambiguity while driving measurable outcomes.

Nice To Haves

Experience in insurance, risk, benefits, financial services, or another complex regulated industry.
A product-oriented mindset focused on adoption, value realization, and business outcomes.
Experience balancing enterprise consistency with regional and business-specific requirements.
Demonstrated success 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.

Responsibilities

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 rather than only 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.