Data Delivery Manager

Jobtailor
Greater London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Machine Learning Data Delivery

Job description

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.

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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