Develop, own, and maintain the domain-specific product roadmap and backlog.
Translate enterprise MDM strategy into sprint-ready requirements and features.
Drive continuous delivery across enhancements and data quality improvements.
Ensure strategy leverages procedures, industry standards, and emerging technologies.
Act as the main liaison between the business and engineering, engaging with stakeholders to capture requirements and measure impact.
Lead prioritisation across business units.
Resolve conflicts and ensure aligned decision-making.
Define master data domain policies, standards, and principles linked to the Group Data Governance strategy.
Embed governance decisions, standards, and definitions into design for automated and embedded preventative data management controls.
Define and oversee data quality rules and issue workflows.
Translate business needs into functional requirements as clear user stories and acceptance criteria.
Coordinate and collaborate with other domain POs, Operations, and Engineering in a '3-in-a-box' leadership model.
Motivate change management for business adoption, measuring and monitoring use of the MDM capability as well as uptake of responsibilities and accountabilities.
Identify data quality risks and compliance gaps.
Requirements
Strong SME in a master data domain including survivorship, hierarchy management, deduplication, and golden record creation.
Understanding of data models, governance, and MDM platforms.
Demonstrable experience as a Product Owner or Product Manager handling data or platform products in an agile environment.
Skilled in backlog management and agile delivery.
Experience defining standards, ownership models, and quality frameworks.
Experience with MDM platforms such as Informatica, Reltio, SAP MDG, IBM InfoSphere, etc.
Experience in a data mesh or hub and spoke operating model, delivering data as a reusable product or service.
Ability to drive adoption and lead change.
Analytical attitude with focus on measurable outcomes.