
Senior Manager, Data Product Management
- London
- Permanent
- Full-time
- Team Leadership and Development: Lead, mentor, and develop a team of Data Product Managers, fostering a culture of ownership, collaboration, and innovation.
- Product Strategy and Roadmapping: Define and manage the roadmap for enterprise data products, ensuring alignment with business priorities and strategic objectives.
- Stakeholder Engagement: Act as the key interface between business users, data consumers, and technical teams. Translate business needs into data product requirements and features.
- Product Lifecycle Ownership: Manage the end-to-end lifecycle of data products, from initial discovery and requirements gathering to launch, maintenance, and retirement.
- Data Quality and Governance Partnership: Collaborate with Data Governance and Data Quality functions to ensure data products are compliant, trusted, and well-documented.
- User-Centric Design: Ensure all data products are designed with usability in mind, delivering consistent, curated, and discoverable data to internal customers.
- Adoption and Change Management: Drive adoption of data products across the organisation by ensuring clear documentation, training materials, and feedback loops are in place.
- Cross-Functional Collaboration: Work with Enterprise Data Architecture, Engineering, and Platform teams to ensure products are technically robust and aligned to architecture standards.
- Performance Measurement: Define and track KPIs for data product success, including usage metrics, business impact, and quality benchmarks.
- Innovation and Continuous Improvement: Proactively identify opportunities to evolve the data product strategy, improve delivery processes, and incorporate new data assets or capabilities.
- Data Product Management Expertise: Strong track record in data product management or similar roles, ideally in a large or complex business environment.
- Team Leadership: Experience managing high-performing teams, with demonstrated ability to mentor and develop talent.
- Stakeholder Management: Proven ability to build relationships with business, technical, and executive stakeholders, driving alignment and value delivery.
- Data Fluency: Solid understanding of data concepts, data modelling, data lifecycle management, and data governance principles.
- Tool Proficiency: Familiarity with tools such as data catalogues, workflow managers, backlog trackers (e.g., Jira), and analytics platforms (e.g., Power BI, Looker).
- Agile Delivery: Comfortable working in Agile or hybrid delivery environments, with experience in backlog management, iteration planning, and stakeholder demos.
- Change Management: Skilled in promoting adoption of new products or services through enablement, communication, and support.