Data Strategy Lead, Digital Client Experience (DCX) Marsh

Marsh

Data Strategy Lead Digital Client Experience (DCX) Marsh Hybrid New York Boston

We are seeking a talented individual to join the Digital Client Experience (DCX) team at Marsh. This role will be based in New York or Boston and is a hybrid position with a requirement to work in the office at least three days per week.

DCX (Digital Client Experience) is a Marsh Risk unit that incubates and scales client-facing digital solutions bringing together product design technology analytics and applied AI to help clients shape risk strategy optimize risk transfer and proactively manage and mitigate risk. This is a hands-on strategic role at the intersection of data strategy product management knowledge architecture AI enablement governance and business transformation. You will help shape how Marsh Risk transforms proprietary data documents analytics and institutional expertise into reusable well-governed AI-ready knowledge assets. Working closely with colleagues across product analytics engineering operations and governance you will help build the foundations for knowledge products that support client-facing solutions and more informed operational decision-making.

We will count on you to:

• Define the DCX data and knowledge strategy setting a clear roadmap for converting proprietary information into reusable knowledge and data products.

• Prioritize high-value domains and use cases with business content product and operations partners ensuring focus on outcomes that matter.

• Build reusable knowledge products across areas such as client intelligence claims intelligence exposure data risk engineering insight benchmarking policy wording market appetite and industry risk profiles.

• Bridge analytics and operations by embedding insight into workflows processes and day-to-day decision-making rather than limiting it to dashboards and reports.

• Define the knowledge layer including core business entities relationships taxonomies ontologies semantic standards and entity resolution across key business concepts.

• Establish governance trust evaluation standards and operating models that support AI-ready knowledge products at scale.

• Support the use of AI and automation to accelerate discovery classification metadata extraction data profiling duplicate detection and corpus preparation.

• Work with cross-functional teams to create feedback loops that continuously improve metadata retrieval quality and usability of knowledge assets.

• Help define requirements forthe AI-readiness of documents such as reports presentations contracts broker notes risk assessments policy wording claims summaries and client deliverables.

• Partner with engineering teams to help shape tools that can search retrieve query summarize compare and evaluate knowledge assets.

• Contribute directly to priority workstreams across DCX ensuring ideas are translated into practical usable solutions.

What you need to have:

• Proven experience in data strategy data product management enterprise data platforms knowledge management AI enablement or digital product leadership.

• Demonstrated ability to bridge analytics and operations translating data insight into operational practice and vice versa.

• Strong understanding of how AI systems use data including retrieval-augmented generation vector search metadata semantic layers knowledge graphs and agentic workflows.

• Experience working with complex enterprise data environments including fragmented systems inconsistent data quality and mixed structured and unstructured sources.

• Demonstrated ability to partner with senior business leaders technology teams data governance legal compliance and product teams.

• Experience defining data ownership stewardship models business glossaries data quality frameworks or domain data products.

• Strong product mindset with the ability to connect technical enablement to business value and user adoption.

• Ability to operate in ambiguity and create structure across complex cross-functional environments.

• Experience in financial services insurance risk advisory professional services or another data-rich regulated industry.

• Familiarity with modern lakehouse data catalogue data governance and AI platform architectures.

• Familiarity with Databricks or comparable unified data and AI platforms including Spark-based lakehouse environments.

• Experience preparing proprietary document corpora for AI search summarization and reasoning.

What makes you stand out

• Exposure toontology design knowledge graphs semantic modeling or entity resolution.

• Working knowledge ofenterprise AI governance model evaluation responsible AI or AI risk controls.

• Hands-on experience building or scalingdata products for client-facing or colleague-facing digital platforms.

• Enabled teams to adoptnew data knowledge or AI capabilities in sustainable ways.

Why join our team:

• We help you be your best through professional development opportunities interesting work and supportive leaders.

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues clients and communities.

• Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being.

Marsh Risk is a business of Marsh (NYSE: MRSH) 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 95000 colleagues Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk visit 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 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 have a need that requires accommodation please let us know by contacting

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.

The applicable base salary range for this role is $164000 to $327900.

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 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.