Technical Delivery Manager - AI & Cloud Platforms

Capgemini•Dallas, TX
•$130,000 - $165,000

About The Position

Capgemini is seeking an experienced Technical Delivery Manager to lead a greenfield technology initiative building a secure enterprise platform for artificial intelligence and emerging AI capabilities. The role leads a cross-functional application development team and drives delivery from initial development through production readiness. It combines technical delivery leadership with client relationship management, roadblock removal, engineering coordination, and milestone accountability. Deep hands-on AI engineering expertise is not required, but sufficient technical knowledge is needed to lead application development teams and work across cloud, engineering, security, data, and AI initiatives. The role is based in Westlake/Dallas, Texas; Durham, North Carolina; or Boston/Burlington, Massachusetts. Applicants must be authorized to work in the U.S. without current or future employment visa sponsorship.

Requirements

  • At least 6 years of experience in technology delivery, technical program management, application development leadership, engineering leadership, or a related field.
  • Proven experience leading application development teams and complex technical delivery initiatives.
  • Experience delivering greenfield technology initiatives from planning and development through implementation.
  • Strong understanding of Agile software delivery and the software development lifecycle.
  • Technical understanding of modern cloud and application environments, including areas such as AWS, APIs, CI/CD, GitHub, Kubernetes, data, security, testing, and observability.
  • Demonstrated ability to manage project timelines, dependencies, risks, resources, and delivery commitments.
  • Strong client-facing and stakeholder-management skills.
  • Ability to communicate effectively with engineering teams and senior business stakeholders.
  • Demonstrated ability to manage challenging delivery situations, negotiate priorities, resolve issues, and drive teams toward successful outcomes.
  • Authorization to work in the U.S. without the need for current or future employment visa sponsorship.

Nice To Haves

  • Experience delivering generative AI, agentic AI, AI platform, or similar emerging-technology initiatives.
  • Familiarity with secure enterprise AI environments or sandbox/platform implementations.
  • Experience within financial services, capital markets, asset management, or another regulated industry.
  • Experience with Jira, Confluence, or comparable delivery-management tools.
  • Relevant Agile, project management, cloud, or AI certifications.
  • Bachelor's degree in computer science, engineering, information technology, or a related discipline.

Responsibilities

  • Lead end-to-end delivery of a greenfield enterprise technology initiative from development through production readiness.
  • Manage and coordinate a cross-functional application development team of approximately 11 team members.
  • Own delivery plans, Agile ceremonies, milestones, dependencies, risks, issues, and status reporting.
  • Coordinate technical work across application development, cloud, APIs, integrations, data, security, testing, and related platform services.
  • Remove delivery roadblocks and drive issues to timely resolution.
  • Partner with client stakeholders and technical teams to manage expectations, priorities, risks, and delivery commitments.
  • Manage difficult delivery situations through communication, negotiation, escalation, and problem solving.
  • Coordinate staffing, onboarding, resource allocation, and team continuity.
  • Support production readiness activities, including testing, security, monitoring, documentation, and operational handover.
  • Ensure delivery aligns with established architecture, security, governance, and data-handling requirements.
  • Provide delivery updates to business, technical, and executive stakeholders.
  • Work closely with engineering teams and provide hands-on technical support when appropriate.

Benefits

  • Paid time off based on employee grade, including 12–25 vacation days depending on 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.
  • May be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on position and applicable laws.
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