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# Data Governance & AI Governance Architect /Consultant

- **Company:** Capgemini
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $101,140.0 - $182,624.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Data Governance, Data Integration, Data Migration, Data Warehousing, Meta-Data Management, Scrum Methodology, SQL Databases, Enterprise Data Management, Google Cloud, Informatica Powercenter, Snowflake, Prompt Engineering, Generative AI, Agentic-AI, Data Lineage, Collibra, Data Management, AI Co-pilot, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.capgemini.com/jobs/576360-en_GB_SAPBTP/x/

## About the Role

* 4+ years of experience in Data Governance, Data Analysis, Business Analysis, Analytics, Data Management, or related consulting roles.
 * Strong experience with Data Governance, Data Quality, SQL, Excel, stakeholder management, and requirements gathering.
 * Experience supporting Data Governance, MDM, Data Migration, Data Integration, Data Warehousing, or Reporting initiatives., * Knowledge of Generative AI, Agentic AI, and Responsible AI principles.
 * Understanding of privacy, security, explainability, auditability, and human oversight requirements.
 * Experience with AI copilots, prompt engineering, or AI-enabled data management solutions preferred.

Preferred Certifications:

 * DAMA CDMP, Collibra, Microsoft Purview, Informatica, AWS, Azure, Google Cloud, Databricks, Snowflake, Agile/Scrum, AI certifications.

## Description

We are seeking a Data Governance & AI Governance Consultant to support enterprise data management and AI readiness initiatives. This role will focus on establishing trusted data foundations, improving data quality, enabling governance processes, and supporting the adoption of AI and Generative AI capabilities across the organization., * Partner with business and technical stakeholders to gather and document requirements, business rules, workflows, and data definitions.

 * Perform data analysis and profiling to identify quality issues, inconsistencies, duplicates, and improvement opportunities.
 * Support enterprise data governance initiatives including metadata management, data cataloging, business glossary development, data lineage, and stewardship programs.
 * Contribute to Master Data Management (MDM) initiatives through domain modeling, source-to-target mappings, validation rules, and data governance processes.
 * Assist in establishing governance frameworks to support AI, Generative AI, and Agentic AI programs.
 * Develop project documentation, status reports, issue logs, and executive-ready presentations.