Product Owner - Outside IR35 - Hybrid - Active SC or BPSS required
We are looking for an experienced Product Owner to lead the development and evolution of our cloud-based data platform, with a strong focus on AWS and Databricks. You will sit at the intersection of business, data engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs.
You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale.
Key Responsibilities
Own and manage the product vision, roadmap, and backlog for data platform capabilities on AWS and Databricks
Work closely with data engineers, architects, analysts, and stakeholders to define and prioritise features and enhancements
Translate business requirements into clear user stories, acceptance criteria, and technical requirements
Act as the primary point of contact for data platform stakeholders across the organisation
Ensure data products are scalable, secure, cost-efficient, and aligned with best practices
Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases)
Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers
Balance short-term delivery with long-term platform strategy
Monitor platform usage, performance, and ROI, and continuously optimise based on feedback
Ensure compliance with data governance, security, and regulatory requirements
Required Skills & Experience
Proven experience as a Product Owner (or Product Manager with strong delivery focus) in data or platform teams
Strong hands-on understanding of AWS services, particularly those used in data platforms (e.g. S3, Glue, Redshift, Lambda, IAM)
Solid experience with Databricks, including data engineering and analytics use cases
Familiarity with modern data architectures (lakehouse, data lakes, streaming, batch processing)
Experience working in Agile/Scrum environments
Ability to communicate effectively with both technical and non-technical stakeholders
Strong prioritisation and decision-making skills
Comfortable working with cross-functional teams in complex environments
Desirable (Nice to Have)
Experience supporting machine learning or advanced analytics platforms
Knowledge of data governance, data quality, and metadata management
Background in SQL, Python, or similar (not required to code, but must be data-literate)
Experience managing cloud cost optimisation initiatives
Databricks or AWS certifications
To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).
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