A Scrum Master to support end-to-end operations of AI & data practice with tech leads, product owners, sales directors, and other internal stakeholders to keep scope, prototypes, schedule, and risks under control while ensuring clear communication and strong execution.
Requirements - Bachelor’s in Engineering, CS, Business, MBA or related field.
- 3-5 years in Scrum Master 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 BIor equivalents) for KPIs.
- Certifications are a plus: Scrum Master, PMP, PRINCE2,or Agile PM
- Familiar with Agile and hybrid delivery in consulting orproduct environments.
- Comfortable translating business goals into epics, userstories, and acceptance criteria.
- Exposure to data and ML workflows, cloud platforms,and modern web delivery.
- Able to coordinate multi‑disciplinary squads acrossengineering, data, and design.
Responsibilities - Pre-sales AI and Data 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 byescalating with context.
- Stakeholder management
- Prepare concise weekly status, burn‑up/down, and riskswith mitigations.
- Coordinate demos, UAT cycles, and sign‑offs. Capturedecisions and actions.
- Align scope across internal stakeholders, managechange requests.
- Quality and governance
- Ensure definition of ready/done, test plans, and releasechecklists are followed.
- Support compliance with security, privacy, and datagovernance requirements.
- Help enforce AI and Data playbooks, templates, anddocumentation standards.
- Commercials and resourcing
- Assist with statements of work, estimates, and invoicingsupport.
- Track resource utilisation, capacity, and internalcoordination.
- Delivery Outcomes
- Reliable sprint throughput and predictable releases.
- Transparent status and risks for leadership and clients.
- On‑time delivery against scope with controlled change and traceability.
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