Data Strategy Lead, Digital Client Experience (DCX) - Marsh

Marsh Risk; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Office in London three days per week

Job summary

Marsh in London is seeking a Data Strategy Lead for the Digital Client Experience team. The role is hybrid with in-office days required. You will define data governance, build knowledge products, and shape AI-ready data strategies that power client-facing solutions.

You will collaborate with product, analytics, engineering, and governance teams to translate data insights into actionable operations and informed risk decisions.

Qualifications

• Proven experience in data strategy, data product management, enterprise data platforms, knowledge management, AI enablement, or digital product leadership.
• 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 with complex enterprise data environments and mixed data sources.
• Ability to partner with senior leaders, technology, data governance, legal, compliance, and product teams.
• Exposure to ontology design, knowledge graphs, semantic modeling, or entity resolution.

Responsibilities

• Define the DCX data and knowledge strategy, setting a roadmap for converting proprietary information into reusable data products.
• Prioritize high-value domains and use cases with business, content, product, and operations partners.
• Build reusable knowledge products across 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 and day-to-day decision-making.
• Define the knowledge layer, including core business entities, relationships, taxonomies, ontologies, and entity resolution.
• Establish governance, trust, evaluation standards, and operating models for AI-ready knowledge products at scale.
• Support AI and automation to accelerate discovery, metadata extraction, data profiling, and corpus preparation.
• Work with cross-functional teams to create feedback loops that improve metadata, retrieval, and usability of knowledge assets.
• Help define requirements for AI-readiness of documents such as reports, contracts, risk assessments, and client deliverables.
• Partner with engineering to shape tools that search, retrieve, summarize, and evaluate knowledge assets.
• Contribute to priority workstreams across DCX with practical, usable solutions.

Skills

Data strategy

Product mindset

Bridge analytics/operations

AI enablement

Knowledge management

Data governance

Stakeholder collaboration

Ambiguity navigation

Tools

Databricks

Lakehouse

Data catalogue

Knowledge graphs

AI platforms

Job description

Data Strategy Lead, Digital Client Experience (DCX) | Marsh | Hybrid | London

We are seeking a talented individual to join the Digital Client Experience (DCX) team at Marsh. This role will be based in London 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 for the 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 to ontology design, knowledge graphs, semantic modeling, or entity resolution.
• Working knowledge of enterprise AI governance, model evaluation, responsible AI, or AI risk controls.
• Hands-on experience building or scaling data products for client-facing or colleague-facing digital platforms.
• Enabled teams to adopt new 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 (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, civil partnership status, 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. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at [e-mail].

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.