The Data Product Manager position is part of 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.
We will count on you to:
Product Ownership & Vision - Set the strategic direction for Client related capabilities
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 - Foster cross-functional collaboration:
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 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.
Stay informed about the analytics tools and technologies used by other teams and explore opportunities for integration or interoperability with the digital products' data analytics tools.
Presenting the wide range of data capabilities to Executive and Leadership teams, thereby promoting client data journey & its capabilities outside of Client value stream, e.g. Placement
Identify opportunities for automation and advanced analytics in the management process.
Data Quality – Ensure data governance and quality within the products:
Establishing frameworks for client data quality and ensuring adherence to enterprise data governance.
Partner with regional data teams, value streams, and data stewards to enhance the quality of client management data.
Implement best practices, ensure data accuracy, consistency, and completeness within the global data platform as well as across regional source systems.
Collaborate with stakeholders to resolve data issues, establish ownership, and improve upstream processes impacting data quality.
Continuous Improvement and Innovation
Gather feedback from users and stakeholders to refine product features.
Keep abreast of regulatory changes, insurance market trends, and data technology advancements.
Promote a data-driven culture within the client management value stream.
Maximizing usage of KPIs, driving standardization of KPIs, continuous improvement, and drive alignment across Value Stream, regions & countries
Implementing innovation through proof-of-concept initiatives
What you need to have:
Bachelor’s or master’s degree in information management, Computer Science, Business, or related field.
8+ years of experience in data management, governance, or related roles (insurance/financial services preferred).
Thorough understanding of the end-to-end client journey, including all processes related to management in the insurance industry
Proficiency in data analysis, modelling, and visualization tools
Understanding data technologies, including databases, data warehouses, and data lakes
Ability to develop and implement data strategies that align with the organization's goals and objectives in Client servicing, acquisition, management & retention.
Experience in using data to inform decision-making and communicate insights to stakeholders
Excellent communication skills to effectively engage with stakeholders at all levels
Experience as a Data Product Owner or Data Product Manager within a Digital Products Organization or related competency.
Experience in project management, agile methodologies, and problem-solving. 3+ years of experience in Agile Product Management for internal or external products.
Experience performing data analysis in BI, analytical, and/or modelling tools.
Experience within a change and transformation environment.
What makes you stand out?
Critical thinking and strong analytical skills and intellectual curiosity, strong out-of-the-box thinking, curious business and an ability to drive action.
Experience which demonstrates intellectual curiosity
Passion for identifying how emerging technologies can improve customer experience and drive value in the insurance industry
Demonstrated competency in managing stakeholders in a dynamic and diverse working environment.
