Hours: 35hrs
Closing Date: Wed, 30 Jul 2025

We’re on the lookout for a visionary Data Platform Product Owner to help lead the evolution of our cloud-native data platform and deliver real business value through data.

Who We Are

You’ll be joining our rapidly expanding Engineering team, collaborating with talented Data and Software professionals, and engaging closely with stakeholders across our Technology function and wider business. Your role is pivotal in driving innovative solutions forward and aligning with our ambitious change agenda.

Together, you’ll help shape the organisation’s future by pushing boundaries and transforming ideas into reality. Join us on this journey of growth, creativity, and collaboration as we set new benchmarks in data engineering excellence. Your contribution is key to our shared success.

What Will You Be Doing

As Data Platform Product Owner, you will join a high-performing team responsible for accepting, prioritising, and managing all types of work within the Data Platform—including business projects, internal initiatives, change requests, and unplanned work. You will gather feature requests, agree sprint goals and objectives, and distil business value and goals into actionable roadmaps while refining the product backlog. Your primary responsibility is to ensure measurable business benefit and value are delivered effectively and efficiently.

Key Responsibilities

1. Vision & Strategy: Define and manage the product vision, strategy, and roadmap for the Data Platform, ensuring alignment with business goals and evolving data needs. Champion a product-centric, value-driven approach, fostering a culture of continuous improvement.
2. Backlog & Work Management: Own and prioritise the product backlog, ensuring efficient delivery of features, improvements, and technical enhancements. Manage all types of work, including business projects, internal projects, change requests, and unplanned work (e.g., incidents, technical debt, urgent fixes). Employ robust planning methods to ensure deployment is agreed, monitored, and evaluated for maximum effectiveness.
3. Stakeholder Engagement & Communication: Lead stakeholder engagement, maintaining strong relationships across all levels to drive engagement and alignment in an agile change environment. Gather and translate business requirements into clear, actionable technical requirements.
4. Value Stream & Systems Thinking: Visualise and optimise the end-to-end value stream for the Data Platform, identifying and addressing bottlenecks to maximise flow and reduce lead times. Apply systems thinking to ensure changes consider wider impacts across teams and processes.
5. Metrics, Measurement & Reporting: Define, track, and report on key success metrics, including DORA metrics, data quality, adoption, user satisfaction, and operational health. Use these metrics to drive continuous improvement, inform prioritisation, and demonstrate value.
6. Data Governance & Compliance: Ensure the Data Platform adheres to data governance, privacy, and security standards, coordinating with compliance teams as needed.
7. DevOps & Automation Collaboration: Work closely with DevOps and engineering teams to enhance automation, deployment, and reliability of the Data Platform, supporting CI/CD practices.
8. Continuous Improvement & Feedback: Evaluate and report value post-delivery, gathering user feedback to ensure delivered features meet real business and customer needs.
9. Leadership & Collaboration: Provide support and guidance as a senior member of the Engineering department, fostering a collaborative, trusting environment that encourages diversity of thought and creative solutions.

What Do We Need From You

We’re looking for someone who is technically proficient, strategic, with strong leadership and communication skills. Ideally, you’ll bring:

• Proven experience as a Product Owner or similar role within a data-driven environment.
• Strong knowledge of data architecture, platforms, and governance.
• Experience working in Agile methodologies, managing product backlogs, and coordinating sprints.
• Excellent stakeholder management skills, able to translate complex data needs into clear objectives.
• An analytical mindset focused on delivering business value through data solutions.
• A deep understanding of the data landscape to influence the strategic roadmap.
• A focus on service delivery, continuous improvement, and innovation.
• Strong communication and collaboration skills across teams.

Key Technology (awareness of)

• Azure Databricks, Data Factory, Storage, Key Vault
• Source control systems, such as Git
• dbt (Data Build Tool), SQL (Spark SQL), Python (PySpark)
• Certifications (Ideal): SAFe POPM or Scrum PSP, Microsoft Certified: Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900)

What’s in it for you

We support hybrid and flexible working, with a newly refurbished head office. Benefits include:

• Annual discretionary bonus
• 25 days annual leave + bank holidays + increment with service
• Holiday trading scheme
• Matching pension contributions
• Colleague mortgage scheme
• Salary sacrifice for hybrid & electric cars
• Training and development
• Private medical insurance
• Paid volunteering days
• Diverse colleague networks
• Health and wellbeing initiatives