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, engineering coordination, issue resolution, 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-related 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. The position offers a base compensation range of $130,000–$165,000 per year. Capgemini provides a benefits package to regular, full-time employees; available benefits depend on local policy and eligibility and may include paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

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.
  • 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.
  • Ability to manage challenging delivery situations, negotiate priorities, resolve issues, and drive teams toward successful outcomes.
  • Authorization to work in the U.S. without 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 challenging 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 clear 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, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
  • Medical, dental, and vision coverage, subject to local policy and eligibility.
  • Retirement savings plans, including 401(k) in the U.S., subject to local policy and eligibility.
  • Life and disability insurance, subject to local policy and eligibility.
  • Employee assistance programs, subject to local policy and eligibility.
  • The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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