Associate Director - Data Management

Company:

Marsh

Description:

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

What is in it for you?

• 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

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
• 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

What you need to have:

• 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

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 embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

About Us

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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 $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.