AI Transformation Manager
Job Summary
The AI Transformation Manager leads AI and digital transformation projects by collaborating with stakeholders and cross-functional teams to deliver solutions, facilitate agile processes, and drive change management for maximum value realization.
Responsibilities
- Deliver AI and digital transformation projects on time and within defined scope to meet business objectives
- Coordinate and actively participate in agile ceremonies including daily stand-ups, sprint planning, retrospectives, and showcases to ensure team alignment
- Refine and manage product backlogs collaboratively with users, developers, and testers to maintain clear priorities and actionable items
- Track project delivery progress and escalate risks or blockers promptly to maintain schedule and quality
- Translate business requirements into well-structured user stories with clear acceptance criteria to guide development and testing
- Prioritize user stories based on business value, complexity, and user feedback to optimize delivery impact
- Lead user acceptance testing (UAT) and secure sign-off from relevant stakeholders to validate solutions
- Facilitate Scrum ceremonies and agile ways of working to enhance team productivity and collaboration
- Identify and remove impediments blocking team progress to ensure smooth project delivery
- Champion agile practices within the team and across functions to foster continuous improvement
- Monitor team velocity, burndown charts, and sprint outcomes to identify opportunities for process enhancements
- Collaborate with stakeholders to prepare standard operating procedures (SOPs), training guides, and user communications to support adoption
- Collect and analyze post-implementation feedback to drive continuous improvement loops
- Maintain detailed documentation of requirements, solutions, and test outcomes to ensure knowledge retention and transparency
- Prepare progress reports and highlight issues for review with leadership to inform decision-making
- Actively participate in team discussions and knowledge-sharing activities to contribute to team development
- Foster a positive, solution-oriented team culture that encourages collaboration and innovation
Preferred competencies and qualifications
- Experience in AI, analytics, or process automation to support digital transformation initiatives
- Exposure to machine learning, robotic process automation (RPA), or data science tools to enhance solution capabilities
- Proven experience in Agile delivery, Scrum facilitation, and user story writing to drive effective project execution