Data Delivery Manager

Responsibilities

• Own planning, prioritisation, and sequencing across the Data & AI team.
• Apply a deep understanding of data work, skills, and technical dependencies to shape realistic delivery plans and roadmaps.
• Support senior decision-making by clearly articulating options, trade-offs, and delivery implications.
• Stay close to delivery to identify risks, dependencies, and opportunities early.
• Challenge and support teams on scope, sequencing, and approaches to solving delivery problems.
• Use delivery insight to improve focus, flow, and outcomes across teams.
• Define and use delivery metrics to track progress, predictability, and outcomes across the portfolio.
• Ensure appropriate governance, transparency, and documentation of delivery decisions to meet audit and compliance expectations.
• Act as a trusted delivery partner to Data & AI leaders and business stakeholders.

Requirements

• Proven experience in delivery planning or coordination in a data-led environment.
• Strong understanding of data disciplines such as data science, ML, advanced analytics, and analytics engineering.
• Ability to understand and map technical dependencies across complex teams.
• Comfortable contributing to delivery discussions at both the detail and portfolio level.
• Skilled in working with cross-functional teams to shape, plan, and track delivery.
• Clear communicator, able to bring structure to complexity and support decision-making.
• Familiarity with agile practices, lean planning, or flow-based delivery.
• Experience improving planning practices or delivery coordination across multiple teams.
• Knowledge of delivery governance, performance metrics, or planning tools.

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