Data Product Manager - Client Management

Description:

The Data Product Manager position is part of the Marsh Data team, which is part of the broader BCS organization. This role will report to the Global Data Head with a dotted line reporting 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 will bridge 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 play a critical role in ensuring ownership and delivery of 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.

This position requires exceptional communication and collaboration skills alongside deep data knowledge and experience in delivering data initiatives. The successful candidate is expected to become expert in the data and initiatives associated with Client Management Value Stream and feel comfortable sitting with senior leaders in supporting their data requirement.

• 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 the strategic, tactical and operational goals & objectives.

  Work with the Group data organization to ensure that Client adheres to data standards and leverages best data practices.

  Translate business goals and regulatory requirements into actionable data‑driven solutions.

  Maintain and prioritize the product backlog aligned to value stream objectives.

  Delivering 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 –

  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 key performance indicators (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.

  Sta…