Data Delivery Manager

We are looking for an experienced Data Delivery Project Manager to join a Global Data Strategy function, working across multiple Data, Product and Engineering teams to deliver strategic data initiatives.

This is a hands-on delivery role focused on coordinating complex programmes, projects and data products, managing dependencies and ensuring teams remain aligned to strategic objectives.

The Role

• Coordinate delivery across multiple engineering, data and cross-functional teams
• Deliver data initiatives across programmes, projects and/or data products
• Manage dependencies, blockers, risks and competing priorities
• Facilitate cross-team planning, stand-ups, retrospectives and roadmap sessions
• Build consensus and influence stakeholders without direct authority
• Partner with Product Managers and Product Owners on roadmaps and release planning
• Translate data and product strategy into actionable delivery plans
• Work with Engineering Managers to improve ways of working and delivery effectiveness
• Track delivery progress, health metrics and KPIs
• Identify and implement improvements to delivery processes and workflows
• Drive continuous improvement across the Data organisation, If you are an experienced Delivery Manager or Data Project Manager with a strong data delivery background, particularly around Data Lakes and modern data platforms, we’d like to hear from you.

The successful candidate will have strong Data Delivery Management or Technical Project Management experience within a data and technology environment.

Key experience required:

• Proven experience delivering data programmes, projects and/or data products
• Strong experience working with Data, Engineering and Product teams
• Experience managing complex, multi-team dependancies within technology or data deliveries
• Strong stakeholder management, facilitation and communication skills
• Experience with Agile, Scrum and Lean delivery methodologies
• Strong dependency, risk and delivery management experience

• Ability to influence and build consensus without direct authority

• Any understanding of data platforms and Data Lakes would be very useful but is not essential
• Databricks experience is advantageous but not also not essential
• Good understanding of the software development lifecycle
• Experience with Jira, Azure DevOps, Linear or similar delivery tools

Experience with OKRs, roadmap planning, transformation or delivery process improvement would also be beneficial.