Data Governance & Data Analytics Specialist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Locations TX,IL,GA,NY,NJ,TN About the job you’re considering Your Role Design, implement, and maintain enterprise data governance models, policies, standards, and operating procedures in alignment with DAMA or similar frameworks. Support the definition and management of critical data elements, business glossaries, metadata, data lineage, and data ownership/stewardship models. Configure, manage, and optimize data governance tools such as Collibra (preferred) or Informatica to support governance workflows and controls. Ensure adherence to governance standards related to data quality, data privacy, and regulatory requirements. Perform data analysis using SQL, Python, and at least one Business Intelligence (BI) tool to support reporting, insights, and governance metrics. Work with data on at least one hyperscale platform (Azure, AWS, or GCP), supporting modern cloud-based data ecosystems. Partners with engineering, analytics, and business teams to validate data usage, ensure data quality, and resolve data issues. Develop and maintain process models and process maps to document governance workflows, data lifecycle processes, and operating procedures. Identify opportunities to streamline data governance processes and improve adoption across the enterprise. Facilitate governance workshops and working sessions with stakeholders to define and document processes. Leverage AI capabilities (e.g., Copilot, Claude, or other AI tools) to automate or accelerate governance, documentation, analysis, and reporting activities. Design or enable AI-driven agents to perform recurring governance and analytics services efficiently. Stay current with emerging AI capabilities and apply them pragmatically within data governance and analytics contexts. Serve as a trusted advisor to business and technical stakeholders on data governance best practices. Effectively communicate complex data and governance concepts to diverse audiences. Facilitate discussions, working sessions, and decision-making forums related to data governance initiatives. Required Qualifications Strong understanding of data governance models, frameworks, and processes (DAMA preferred). Hands-on experience with at least one data governance tool, preferably Collibra; experience with Informatica or similar tools is acceptable. Proven data analysis skills using: SQL Python At least one BI tool (e.g., Power BI, Tableau, Looker) At least one hyperscaler environment (Azure, AWS, or GCP) Experience creating process models and process maps. Strong communication, facilitation, and collaboration skills. Demonstrated ability to apply AI tools and agents to enhance productivity and service delivery. Prior experience in enterprise-scale data governance implementations. Familiarity with metadata management, data quality frameworks, and lineage concepts. Experience supporting regulated or complex enterprise environments. Exposure to change management and governance adoption strategies. Key Competencies Data Governance Expertise Analytical Thinking & Problem Solving Process Design & Optimization AI-Enabled Productivity Stakeholder Communication Collaboration Across Business and Technology Teams The base compensation range for this role in the posted location is: $86,000 to $203,000. 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. 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.