Senior Project Manager (Custom Application Development, AI)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging deep industry expertise and a strong partner ecosystem across strategy, technology, design, engineering and business operations. Capgemini reported 2024 global revenues of €22.1 billion.

• Very good understanding of principles and processes related to software development/SDLC.
• 10+ years of experience in IT delivery, including several years leading complex software development projects for external clients.
• Proven track record of delivering large-scale and business-critical software initiatives in international environments.
• Experience in a client-facing role managing project delivery.
• Strong experience managing end-to-end delivery ownership including project governance, budgeting, forecasting, commercial management, risk management, and stakeholder management.
• Hands-on experience leading end-to-end delivery of AI and GenAI projects from opportunity assessment through production deployment and business adoption.
• Strong understanding of AI delivery lifecycle including data preparation, model development, validation, deployment, monitoring, and continuous improvement.
• Ability to manage complex escalations, conflicting priorities, and stakeholder environments.
• Exposure to AI transformation programs, innovation initiatives, or implementation of AI-enabled business solutions.
• Excellent written and spoken English.

Nice to have:

• Formal people management experience including career development, performance management, recruitment, workforce planning, and mentoring.
• Experience with MLOps, AI governance, Responsible AI, and AI operating models.
• Experience in pre-sales, solution shaping, estimations, and commercial proposals.
• PMP, PRINCE2, Agile, SAFe, or equivalent certifications.
• AI-related certifications (Microsoft AI Engineer, Azure AI, AWS ML, Google AI, etc.).
• Experience in the public, defense, energy, or highly regulated sector.

• Leading end-to-end delivery of complex software development projects and programs for international clients, ensuring achievement of business, financial, and delivery objectives.
• Taking full accountability for project scope, budget, profitability, timelines, risks, dependencies, and delivery quality.
• Managing large multidisciplinary teams, including Project Managers, Delivery Leads, Architects, Business Analysts, and Engineering teams.
• Acting as the primary point of contact for client leadership and key stakeholders, building trusted relationships and managing expectations at both operational and executive levels.
• Driving governance, delivery frameworks, reporting, escalation management, and decision-making processes across complex engagements.
• Leading resolution of critical delivery challenges, commercial risks, staffing issues, and client escalations.
• Identifying opportunities to scale and industrialize AI-enabled solutions by translating business needs into sustainable and repeatable delivery models.
• Supporting business development activities, delivery estimations, proposal preparation, and transition of new opportunities into delivery.
• Managing team development, feedback, staffing, and collaboration with internal stakeholders.