project manager in Enterprise AI

Infosys Consulting is a global management consulting firm that helps market-leading brands navigate industry disruption and technology transformation. Its Enterprise AI practice helps large global organisations create business value from data and AI, from strategy and readiness assessments to scalable implementation.

• Establish relationships with senior business, IT, architecture, security and delivery stakeholders;
• Maintain alignment on outcomes, priorities, scope, timeline, resources, budget and acceptance criteria;
• Provide evidence-based reporting on delivery status, risks, dependencies, decisions and expected outcomes;
• Coordinate GitHub Enterprise enablement, including repository setup, access, governance, branching, pull requests, GitHub Actions, CI/CD and reusable standards;
• Coordinate Power BI work covering semantic models, workspace governance, deployment, security, report rationalisation and platform adoption;
• Manage the detailed plan for proof of value, infrastructure setup, validation, rollout preparation, user guidance and go/no-go decisions;
• Drive risk, issue, dependency, decision and action management across multiple teams;
• Facilitate workshops, governance forums and executive steering discussions.

• Senior technical programme/project management experience in data, analytics or BI environments;
• Experience delivering programmes involving Power BI and GitHub/DevOps capabilities;
• Strong stakeholder, governance, planning, RAID and executive-communication skills;
• Technical understanding of repositories, branching, CI/CD, Power BI workspaces and deployment;
• Comfortable working in ambiguous consulting environments, shaping options and making trade-offs explicit;
• Self-directed, able to prioritise and manage multiple workstreams;
• Clear communicator who can simplify complexity for technical and non-technical audiences;
• Collaborative, curious and committed to continuous learning;
• Nice to have: PMP, PRINCE2, SAFe or equivalent credential, Azure, Microsoft Fabric, Snowflake or broader data-platform experience, Consumer Packaged Goods or multinational enterprise experience.

• Industry-leading compensation and benefits;
• Training and development opportunities.