What are the responsibilities and job description for the Enterprise Platform Coordinator position at ClearBridge Technology Group?
Our client, a technology solutions provider company located in San Francisco, CA, needs an Enterprise Platform Coordinator for permanent employment. The Enterprise Platform Coordinator will work 4 days a week onsite in San Francisco, and focus on ensuring that data is trusted, well-defined, and meets internal/regulatory expectations. The position leads governance platform capabilities across Collibra, Atlan, Alation, and Manta, driving metadata management, lineage transparency, policy governance, conceptual data modeling, and AI governance initiatives. The role partners closely with business leaders, data teams, and Risk/Compliance functions to integrate governance into enterprise processes and enable analytics and AI programs in a secure, governed, and compliant manner.
Required Skills:
Desired Skills:
Required Skills:
- 10 years of experience in data governance, information management, or enterprise data platform environments.
- 3 years of experience delivering AI-powered capabilities and enabling AI use cases within governed data environments and enterprise data landscapes.
- 3 years of experience with AI governance frameworks, metadata-centric AI enablement, and control mechanisms supporting responsible and compliant AI deployment.
- 3 years of experience navigating data privacy regulations and compliance obligations, including GDPR and CCPA.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Management, or a related field.
Desired Skills:
- Professional certification in data governance or data management, such as DAMA Certified Data Management Professional (CDMP).
- Practical experience working with governance and metadata management platforms, including Collibra, Atlan, Alation, or Manta.
- Proven success driving enterprise-wide governance adoption and organizational change initiatives.
- Experience enabling AI, analytics, and metadata-driven programs through well-governed and trusted data assets.
- Knowledge of responsible AI practices, AI metadata frameworks, and governance controls supporting enterprise AI deployment.