About Capgemini:

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms! Building on its strong 50-year+ heritage and deep industry-specific expertise, We enable organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries!

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

Position Summary:

This role is accountable for shaping and executing the organization’s data and AI strategy to deliver intelligent, scalable, and future-ready solutions. It will lead the creation of strong data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the enterprise. The position will also design and optimize modern data architectures on hyperscaler platforms, enabling advanced analytics and AI-driven capabilities that unlock actionable insights and accelerate innovation. Ultimately, this role ensures that data and AI initiatives translate into measurable business outcomes.

Key Responsibilities:

• Define and execute the enterprise data and AI strategy to enable intelligent, scalable, and future-ready solutions for our engagements
• Establish robust data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the organization
• Design and optimize modern data architectures on hyperscaler platforms (e.g., Azure, AWS, GCP) to support advanced analytics and AI-driven capabilities
• Drive AI adoption and innovation, leveraging data to unlock actionable insights and accelerate transformation
• Collaborate with business stakeholders across functional areas to ensure data capabilities deliver measurable business outcomes
• Integrate automation as an enabler, complementing data and AI initiatives to enhance agility and efficiency
• Champion best practices and standards for data quality, governance, and architecture to support enterprise-wide scalability
• Enable and maximize billability

Qualifications:

• Proven experience in solution architecture for Data and AI platforms, including hyperscaler environments (Azure, AWS, GCP)
• Strong ability to translate complex technical concepts into clear business outcomes, ensuring alignment with organizational goals
• Excellent communication and stakeholder engagement skills, with experience influencing senior leaders and cross-functional teams
• Solid understanding of enterprise processes and functional domains to ensure data strategies support business objectives (Finance and Supply Chain expertise is complementary but not primary for this role)
• Excellent communication and client engagement skills
• Expertise in Agentic AI, Generative AI, and advanced analytics
• Ability to translate technical concepts into business outcomes

Success Metrics:

• Increase in billable hours and project revenue directly attributable to the architect’s Data & AI solutions
• Increased deal closure rates through compelling solution design
• Demonstrated ROI for clients via measurable operational improvements
• Adoption of AI-driven solutions across targeted business functions

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert salary range]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

About Capgemini:

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms! Building on its strong 50-year+ heritage and deep industry-specific expertise, We enable organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries!

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

Position Summary:

This role is accountable for shaping and executing the organization’s data and AI strategy to deliver intelligent, scalable, and future-ready solutions. It will lead the creation of strong data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the enterprise. The position will also design and optimize modern data architectures on hyperscaler platforms, enabling advanced analytics and AI-driven capabilities that unlock actionable insights and accelerate innovation. Ultimately, this role ensures that data and AI initiatives translate into measurable business outcomes.

Key Responsibilities:

• Define and execute the enterprise data and AI strategy to enable intelligent, scalable, and future-ready solutions for our engagements
• Establish robust data foundations through Master Data Management and Data Governance, ensuring accuracy, security, and compliance across the organization
• Design and optimize modern data architectures on hyperscaler platforms (e.g., Azure, AWS, GCP) to support advanced analytics and AI-driven capabilities
• Drive AI adoption and innovation, leveraging data to unlock actionable insights and accelerate transformation
• Collaborate with business stakeholders across functional areas to ensure data capabilities deliver measurable business outcomes
• Integrate automation as an enabler, complementing data and AI initiatives to enhance agility and efficiency
• Champion best practices and standards for data quality, governance, and architecture to support enterprise-wide scalability
• Enable and maximize billability

Qualifications:

• Proven experience in solution architecture for Data and AI platforms, including hyperscaler environments (Azure, AWS, GCP)
• Strong ability to translate complex technical concepts into clear business outcomes, ensuring alignment with organizational goals
• Excellent communication and stakeholder engagement skills, with experience influencing senior leaders and cross-functional teams
• Solid understanding of enterprise processes and functional domains to ensure data strategies support business objectives (Finance and Supply Chain expertise is complementary but not primary for this role)
• Excellent communication and client engagement skills
• Expertise in Agentic AI, Generative AI, and advanced analytics
• Ability to translate technical concepts into business outcomes

Success Metrics:

• Increase in billable hours and project revenue directly attributable to the architect’s Data & AI solutions
• Increased deal closure rates through compelling solution design
• Demonstrated ROI for clients via measurable operational improvements
• Adoption of AI-driven solutions across targeted business functions

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert salary range]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.