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
Job source
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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- Open in Claude
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