Agentic AI Product Lead — Transformation Consultant

Capgemini; Dallas (TX); On-site; USD 121,000 - 237,000; Full time

Job summary

Capgemini Invent in Dallas, TX, seeks an Agentic Product Lead – Managing Consultant to lead the delivery and scale-up of AI use cases in a factory model. You will own a pipeline, coordinate across multiple AI initiatives, and work with technical teams to standardize AI delivery while driving measurable value for clients.

The role requires strong AI literacy, cross-functional collaboration across strategy, technology, data and design, and a disciplined focus on responsible AI principles, ethics,

Qualifications

• Background in AI product management, program management, or AI delivery leadership.
• Experience coordinating multiple AI initiatives rather than a single product.
• Strong communication skills with the ability to manage uncertainty and evolving scope.
• Comfort operating within budgetary constraints while maintaining delivery quality.

Responsibilities

• Own and manage a pipeline of AI and agentic use cases delivered through a factory model.
• Coordinate delivery across multiple AI initiatives with varying value, scope, and business impact.
• Work closely with technical delivery teams to standardize AI delivery methods and improve performance over time.
• Monitor delivery velocity, resource needs, scaling requirements, and time-to-value.
• Communicate progress, risks, and outcomes clearly to client stakeholders.
• Manage ambiguity and evolving requirements typical of early-stage AI programs.

Skills

AI product management

Program management

AI delivery leadership

Communication

Budget management

Job description

Capgemini Invent in Dallas, TX, seeks an Agentic Product Lead – Managing Consultant to lead the delivery and scale-up of AI use cases in a factory model. You will own a pipeline, coordinate across multiple AI initiatives, and work with technical teams to standardize AI delivery while driving measurable value for clients.

The role requires strong AI literacy, cross-functional collaboration across strategy, technology, data and design, and a disciplined focus on responsible AI principles, ethics,