Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
As an
AI Senior Project Manager, you will lead complex, client-facing Agentic AI initiatives from concept through implementation. You will drive end-to-end delivery, coordinate cross-functional and globally distributed teams, manage key stakeholders, and ensure projects deliver meaningful business outcomes.
Your Responsibilities Will Include
- Lead client-facing Agentic AI implementations end-to-end, from POC through production and industrialization.
- Drive complex project and program delivery, ensuring successful execution across scope, timelines, quality, and business outcomes.
- Lead cross-functional teams across technical, data science, business, and delivery functions.
- Collaborate with globally distributed teams, demonstrating flexibility to work effectively across multiple time zones.
- Manage senior stakeholders and client relationships, providing clear communication, presentations, status updates, and alignment on priorities.
- Lead projects using Agile methodologies, including Scrum and iterative delivery, to manage execution, dependencies, risks, and continuous delivery.
This job can be performed from anywhere in the U.S.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Experience leading 1-2 end-to-end Agentic AI projects, from POC through industrialization.
- 10+ years of Project and Delivery Management experience with 1-2 projects in the Supply Chain domain, with a proven track record of successful program execution.
- Hands-on Data Science experience with a strong understanding of AI/ML and methodologies.
- Experience working with global, distributed teams, with flexibility to collaborate across multiple time zones.
- Strong leadership and stakeholder management skills, with a collaborative and team-oriented mindset.
- Excellent client-facing communication and presentation skills.
- 4-5 years of Agile project management experience, including Scrum and iterative delivery methodologies.
