Gen AI , Data Telecom Delivery Director
Capgemini
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Job Description
About the job you’re considering
The AI Delivery Lead is responsible for driving the successful execution and delivery of AI and machine learning (ML) projects at T-Mobile. This role involves coordinating multi-functional teams, optimizing processes, and ensuring that AI/ML models are effectively integrated into business operations. The ideal candidate will have a solid technical background, excellent leadership skills, and a passion for driving innovation through AI and ML technologies.
Your Role:
• Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives
• Collaborate with data scientists, data engineers, and UI developers to design, develop, and deploy AI/ML models and solutions
• Manage and evaluate the performance of AI/ML systems, making recommendations for improvements and optimizations
• Develop and implement operational strategies, policies, and best practices for AI/ML workflows
• Lead project timelines, budgets, and resources to ensure successful delivery of AI/ML initiatives
• Oversee the end-to-end delivery of product solutions, ensuring quality, timeline, and budget adherence
• Collaborate with stakeholders to gather requirements, define project scope, and establish clear deliverables
• Oversee development teams, ensuring smooth execution of agile processes and sprint planning
• Identify and mitigate risks to project timelines, resources, or scope
• Foster effective communication across teams, acting as the primary point of contact for project updates
• Manage project roadmaps, milestones, and release schedules to align with business priorities
• Support technical decision-making, working closely with architects and developers to deliver robust solutions
• Conduct regular project reviews to assess progress, identify challenges, and implement solutions
• Drive continuous improvement in delivery processes, tools, and methodologies
• Ensure customer satisfaction by managing stakeholder expectations and ensuring delivery success
Your skills and experience
• EM Certification: Level 2 or above
• Operational Management: Proven track record in operational management, including senior clients and key BU executives
• Project Financials: Deep understanding of project financials and the ability to drive them
• Leadership: Ability to manage delivery heads, delivery executives, and engagement managers
• Customer Crisis Management: Ability to manage customer crises
• Experience in product engineering, project delivery, or software development leadership roles
• Proven experience in Agile methodologies such as Scrum or Kanban
• Strong understanding of software development life cycle (SDLC) and product management frameworks
• Excellent organizational and time management skills
• Strong communication and interpersonal skills for effective stakeholder engagement
• Proficiency in project management tools such as JIRA, Trello, or Azure DevOps
• Experience in cloud environments like AWS, Azure, or Google Cloud Platform (GCP)
• Familiarity with CI/CD tools and DevOps practices
• Knowledge of technical architecture, microservices, and API design principles
• Certifications such as Certified Scrum Master (CSM), PMP, or SAFe Agilist are highly desirable
• Leadership Skills: Strong leadership skills with an ability to drive cross-functional teams
• Communication Skills: Excellent communication skills, both oral and written
• Problem-Solving: Adept at solving complex problems and implementing effective solutions
• Experience: Minimum 10 years’ experience in a similar capacity or as Delivery Lead
The base compensation range for this role in the posted location is:$130,000 - $240,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
