AI Technical Project Manager - Senior Project Manager

Capgemini • Chicago, ND

3d • $101,140 - $182,624 • Hybrid

About The Position

Capgemini is seeking an execution-driven Technical Project Manager with strong Systems Integration (SI) delivery experience to lead complex technology engagements. The role calls for a hands-on leader who can enter programs, drive recovery, and deliver outcomes by taking decisive action, enforcing accountability, and proactively resolving challenges across global teams. The position involves managing custom-developed enterprise applications and leading onshore-offshore execution.

The project manager owns end-to-end delivery and identifies opportunities to apply AI and automation to business workflows. They lead programs with structured plans and an AI-first approach, including AI-led program governance and reporting. They manage team performance, stakeholder communications, escalations, and decision-making, and partner with security, privacy, and legal teams on data handling and responsible AI requirements.

This is a hybrid role based across Irving, Atlanta, Nashville, New Jersey, and Chicago. The posted base compensation range is $101,140–$182,624. The role may also be eligible for variable incentives, bonuses, or commissions. Benefits for regular, full-time employees may include paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, employee assistance programs, and other benefits subject to local policy and eligibility.

Requirements

• 10+ years in Technical Project or Delivery Management roles.
• Mandatory Systems Integration (SI) experience with proven delivery ownership.
• Strong experience managing custom-developed enterprise applications in Java, .NET, or cloud ecosystems, specifically overseeing AI pilots and implementations.
• Strong experience managing global onshore-offshore delivery teams.
• Demonstrated ability to use AI to drive execution, governance, or reporting, including evaluating AI output for accuracy, reliability, and business usefulness.
• Strong understanding of SDLC, delivery lifecycle, and engineering workflows.
• Experience handling performance management and delivery escalations.
• Working knowledge of Generative AI and LLMs, including their capabilities and limitations.

Responsibilities

• Own end-to-end delivery with accountability for execution and outcomes.
• Identify and prioritize opportunities to apply AI and automation to business workflows.
• Drive programs through structured plans and decisive action, using an AI-first approach, including AI-led program governance and reporting.
• Manage performance across teams, address underperformance, and make difficult decisions when required.
• Lead delivery in a Systems Integrator context, managing competing priorities across clients, stakeholders, and engineering teams.
• Identify and resolve delivery challenges.
• Lead stakeholder communications, escalations, and decision-making with a focus on resolution and action.
• Partner with security, privacy, and legal teams to address data handling and responsible AI requirements.
• Oversee custom-developed enterprise applications and AI pilots and implementations.
• Lead global onshore-offshore delivery teams.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed