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We are seeking an experienced Agile Delivery Manager to support a legacy modernisation programme. This high-impact delivery role focuses on replacing a core legacy platform through incremental, service-oriented delivery, using our AI-enhanced agile methodology.
Details:
- Role: Agile Delivery Manager
- Day Rate: £350-400 per day
- IR35: Outside IR35
- Location: Remote
- Contract: 3 months (strong extension potential)
Responsibilities
- Own end-to-end delivery execution across all legacy workstreams.
- Drive predictable flow from discovery through to release, surfacing delivery risks early.
- Ensure delivery commitments are realistic, visible, and met.
- Facilitate effective planning across duos and cross-functional teams.
- Coordinate sprint, increment, and release planning activities.
- Manage cross-team dependencies and align plans with architectural constraints.
- Provide concise and transparent updates to senior stakeholders.
- Support teams in removing blockers, reducing ambiguity, and focusing on flow.
- Ensure lightweight yet effective governance, traceability, and release readiness.
- Monitor metrics such as throughput, cycle time, release frequency, and defect rates.
Required Experience
- Demonstrable experience as a Delivery Manager within complex software environments.
- Strong track record of iterative, incremental delivery methods.
- Experience leading platform modernisation or legacy system replacement initiatives.
- Ability to operate effectively across product, engineering, and business contexts.
- Confidence working in ambiguity, handling constraints, and managing competing priorities.
- Background in service-led or product-driven organisations.
- Skilled at communicating delivery realities clearly to both technical and non-technical stakeholders.
Desirable Experience
- Experience delivering within microservices and API-driven architectures.
- Understanding of domain-driven design or service-oriented delivery teams.
- Knowledge of CI/CD pipelines and production release practices.
- Operational delivery in environments where uptime and continuity are essential.
- Exposure to AI-assisted tools in the context of software and delivery workflows.
Project Method:
- Small, stable duos/teams with outcome ownership.
- Emphasis on close collaboration between delivery, engineering, and stakeholders.
- Decentralised delivery decision-making close to the work.
- Focus on learning, iteration, and course correction.
- Use of AI-enhanced tools to accelerate analysis and delivery.
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