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Added 3 mins ago
EB
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Capgemini

Senior Data Governance Analyst

San Francisco, CA, United States

The base compensation range for this role in the posted location is: $160,000 - $190,000

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Job details

Pay: The base compensation range for this role in the posted location is: $160,000 - $190,000
Experience: Approximately 5-7 years of relevant experience in data governance, data quality, or data management.
Posting language: English
Posted: Oct 23, 2026

Original job description

Senior Data Governance Analyst

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.

Location: San Francisco, CA (Hybrid - 3 days/week from office)

Role summary

The Senior Data Governance Analyst will support the bank's data governance work as data is enabled across Databricks and existing EDH processes. This is a hands-on, stakeholder-facing role that connects business needs with practical governance and data quality work. The analyst will participate in working sessions, clarify requirements, help define and implement data quality checks, and coordinate follow-up actions with business, technology, and delivery teams.

Required skills and experience

Approximately 5-7 years of relevant experience in data governance, data quality, or data management.
Strong SQL skills and practical experience with Python or data-related automation, including APIs for automation.
Understanding of data flows, metadata, data quality, and access governance.
Ability to connect business requirements with technical implementation.

Key responsibilities

Work with business and technology stakeholders to understand data sources, data flows, and how data is used in business processes.
Help define data quality expectations and rules for both business and technical needs.
Use SQL and Python to profile data, investigate issues, and implement data quality checks or automation.
Support data access governance across EDH and Databricks, including identifying opportunities to automate workflows.
Support governance capabilities in Databricks Unity Catalog, such as access controls, cataloging, metadata, and lineage.
Work with Atlan and other governance tools as needed.
Participate in stakeholder calls, document decisions and action items, and follow through with owners.
Coordinate with offshore delivery resources on implementation and execution.

Preferred experience

Databricks and Unity Catalog.
Atlan or another data catalog or governance platform.
Banking or financial services.

The base compensation range for this role in the posted location is: $160,000 - $190,000

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.

Ref. code: 581643

Posted on: Oct 22, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

San Francisco, CA, US

Brand: Capgemini

Professional Community: Data & AI

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.

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More about this job

Skills

Databricks
Statistical quality control
Data management
SQL
Python
Business processes
Analyse issues
Unity
Cataloging
Onboarding

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