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AI-Powered Job Summary
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- Familiar with Agile and hybrid delivery in consulting or product environments
- Comfortable translating business goals into epics, user stories, and acceptance criteria
- Exposure to data and ML workflows, cloud platforms, and modern web delivery
- Able to coordinate multi‑disciplinary squads across engineering, data, and design
Delivery operations
- Run standups, sprint planning, reviews, and retros. Maintain sprint health and cadence
- Own backlog hygiene: story readiness, prioritisation, dependencies, and acceptance criteria
- Track timelines, milestones, budgets, RAID (Risks, Assumptions, Issues, Dependencies)
- Facilitate decision forums and unblock squads by escalating with context
- Prepare concise weekly status, burn‑up/down, and risks with mitigations
- Coordinate demos, UAT cycles, and sign‑offs. Capture decisions and actions
- Align scope across internal and client stakeholders, manage change requests
- Ensure definition of ready/done, test plans, and release checklists are followed
- Support compliance with security, privacy, and data governance requirements
- Help enforce delivery playbooks, templates, and documentation standards
- Commercials and resourcing
- Assist with statements of work, estimates, and invoicing support
- Track utilisation, capacity, and vendor coordination
- Reliable sprint throughput and predictable releases
- Transparent status and risks for leadership and clients
- On‑time delivery against scope with controlled change and traceability
- Bachelor's in Engineering, CS, Business, or related field
- 1-3 years in project coordination, PMO, or junior PM roles
- Clear written and verbal communication with strong stakeholder engagement
- Proficient with Azure DevOps or Jira, and collaboration tools (Confluence/Notion)
- Comfortable building lightweight dashboards (Power BI or equivalents) for KPIs
- Certifications are a plus: Scrum Master, PMP, PRINCE2, or AgilePM
- Planning and tracking: Azure DevOps Boards, Git, Notion
- Reporting: Power BI, Excel. Documentation in Notion or Confluence
- Processes: Agile Scrum, Kanban, iterative delivery, change control, risk management
- Exposure to AI/ML delivery is advantageous: model lifecycle, data pipelines, and MLOps touchpoints
- Growth path towards Project Manager with ownership of multiple workstreams
Key Skills
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