Data Product Manager - Client Management

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The Data Product Manager position is part of Marsh Data team, part of the broader BCS organization. This role will report to the Global Data Head with a dotted line to the Global Client Management Value Stream Leader.

We are seeking a highly motivated Product Manager to lead data‑driven solutions to support the Client Management Value Stream
. This role bridges business stakeholders, technology teams, and data specialists to design, deliver, and optimize data solutions that enhance the client management journey, ensure compliance, and drive business value.

As a Data Product Manager you will own and deliver the client data and analytics portfolio across all layers of the data organization—from data sources through data consumption
. This means overseeing the full data lifecycle, spanning acquisition & ingestion
, repository & processing
, data services
, and data consumption
, while aligning with global and regional data strategies.

• Product Ownership & Vision
  • Define and communicate the product vision, strategy, and roadmap for data solutions supporting client management.
  • Identify key metrics and objectives to align global client‑related dashboards with strategic, tactical, and operational goals.
  • Work with the Group data organization to ensure client data standards and best practices.
  • Translate business goals and regulatory requirements into actionable data‑driven solutions.
  • Maintain and prioritize the product backlog aligned to value stream objectives.
  • Deliver toolkits, playbooks, governance, and engagement models for operational metrics, capacity planning, and resource allocation.
• Stakeholder Management
  • Collaborate with Global / Regional Value Stream leaders, Regional Data Leads, Compliance, Operations, and IT teams to identify data needs and opportunities.
  • Act as the key liaison between business stakeholders and delivery teams.
  • Ensure product features deliver measurable value to the client management journey.
  • Facilitate communication and coordinate efforts between various teams.
• Delivery & Execution – Work within an agile methodology for products
  • Drive end‑to‑end delivery of data solutions: from requirement gathering to deployment and adoption.
  • Partner with engineering and data teams to design scalable, secure, and compliant solutions.
  • Monitor delivery progress, manage risks, and resolve impediments.
  • Collaborate with development teams in sprint planning and backlog grooming, prioritizing data‑related tasks based on business value in the context of client data.
  • Central point of contact for Data & MI testing.
• Data Analytics and KPIs
  • Collaborate with key stakeholders to define KPIs that measure the effectiveness and success of the digital product.
  • Identify relevant metrics and data points that align with the product’s goals and objectives and establish benchmarks or targets for each KPI.
  • Leverage analytics and dashboards to measure management efficiency, compliance adherence, and client experience.
  • Data Service → enabling analytics, dashboards, and operational tools via secure, consistent services.
  • Data Consumption → ensuring stakeholders receive meaningful insights via dashboards, KPIs, and integration with other analytics products.
  • Managing client‑related data capabilities including the Global Client Service Dashboard, Global Data Quality Dashboards, Client IQ, etc.
  • Collaborate with other Analytics Products and Management Intelligence teams within the organization that will be utilizing the client data to ensure seamless integration and alignment of data and insights.
  • Engage with stakeholders from other Analytics teams to understand their data requirements and how the client data can support their analytics initiatives.
  • Stay informed about the analytics tools and technologies used by other teams and explore opportunities for integration or interoperability with the digital product’s data analytics tools.
  • Present the wide range of data capabilities to Executive and Leadership teams, thereby promoting client data journey & its capabilities outside of the client value stream, e.g. Placement.
  • Identify…