As a Data & AI Project Manager, you will lead end-to-end delivery of Data, Analytics, and AI engagements-owning governance, financials, scope, schedule, and stakeholder alignment across clients and IBM teams. You'll drive disciplined execution, proactive risk management, and ensure outcomes are delivered predictably and professionally.

Key Responsibilities

* Lead delivery governance across one or multiple workstreams: plan, RAID, cadence, milestones, dependencies, resourcing

* Own project controls: scope/change control, budget tracking, forecasting, and delivery reporting

* Drive stakeholder management across client leaders, partners, and IBM technical teams; facilitate decisions and remove blockers

* Own risk management: maintain RAID logs, identify delivery/commercial/operational risks early, implement mitigation/contingency plans, and manage escalations to closure

* Maintain delivery quality and client satisfaction; ensure governance actions are tracked and completed

* Build and coach high-performing teams; promote consistent ways of working and continuous improvement

Required Professional and Technical Expertise

* Minimum 10+ years of project/program management experience, delivering complex enterprise initiatives end-to-end

* Proven track record managing multi-stakeholder, high-complexity projects (Agile / hybrid)

* Strong stakeholder management and communication-from technical teams to senior executives

* Experience delivering Data & AI / Analytics / Data Platforms (e.g., data engineering, governance, BI, AI/ML initiatives)

* Strong project controls including financial management, reporting, change control, and risk/issue management (RAID)

Preferred Professional and Technical Expertise

* Certifications for project/program management: Project or program certifications including but not limited to PMP, CMMI, Scrum Master or Agile Project Management.

* Technology Expertise: Experience working with a broad spectrum of technology solutions including Data and AI, Automation, Sustainability, Security, Cloud technologies.