Data Platform Product Owner

Data Platform Product Owner

We are looking for a Data Platform Product Owner to lead the vision, strategy, and delivery of our client’s enterprise data platform - powering analytics, AI, and data-driven decision-making across the business.

This is a high-impact role where you will shape a scalable, secure, and cost-efficient platform while enabling teams to unlock real value from data.

What you will do

• Own the data platform roadmap, vision, and backlog

• Design and evolve modern data architectures (lakehouse, warehouse, streaming)

• Ensure reliability, scalability, performance, and cost optimisation

• Embed data governance, security, and compliance by design

• Partner with engineering, analytics, and business teams to deliver high-value platform capabilities

• Drive self-service data access and platform adoption

• Manage vendors, budgets, and platform costs (FinOps)

• Act as the primary advisor to stakeholders on data platform strategy and value

What you will bring

• 7+ years’ experience in data, platform, or engineering roles

• Proven experience owning or leading a data platform or similar product

• Strong understanding of cloud data ecosystems (Azure, AWS, Snowflake, Databricks)

• Experience working with analytics, AI, and data teams

• Solid product management skills (roadmaps, prioritisation, value-driven delivery)

• Ability to operate strategically and technically

Nice to have

• Cloud or data platform certifications

• Experience with data governance, DevOps, and platform engineering practices

How you work

• Strategic thinker with strong problem-solving skills

• Confident communicator with stakeholder influence

• Collaborative, delivery-focused, and value-driven

• Passionate about continuous improvement and platform excellence

Why should you apply?

• Shape a critical enterprise data capability

• Work at the intersection of data, cloud, and AI

• Drive meaningful impact across the organisation

• Collaborate with high-performing, cross-functional teams

Apply now by sharing your CV with ***email_hidden*** and help build a data platform that powers smarter decisions.