Enterprise Platform Coordinator (Collibra / Atlan)

Diligente Technologies; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Diligente Technologies in San Francisco is seeking a seasoned Data Governance Lead to own the Enterprise Platform strategy, roadmap, and long-term scalability across the organization. You will implement data lineage, metadata management, and governance controls, ensure GDPR/CCPA compliance, and drive AI-enabled capabilities within governed data platforms.

The role requires 10+ years in data governance, strong stakeholder influence, and hands-on experience with governance tools like Collibra,

Qualifications

• 10+ years of experience in data governance, data management, or enterprise data platform roles.
• Proven experience leading Enterprise Platforms or programs.
• Strong understanding of governance frameworks and operating models.
• Experience implementing AI-enabled capabilities within governed data platforms.
• Understanding of responsible AI principles and governance controls.
• Deep knowledge of data privacy laws and regulatory compliance requirements (GDPR, CCPA).
• Experience in audit, risk, and regulatory oversight environments.
• Ability to influence cross-functional stakeholders and drive enterprise adoption.
• Bachelor’s or Master’s degree in a related field.

Responsibilities

• Own and lead the Enterprise Platform strategy, including roadmap, adoption, and long-term scalability.
• Establish and enforce firm-wide data governance standards, policies, and operating models.
• Provide end-to-end ownership of governance platforms such as Collibra, Atlan, Alation, and Manta.
• Lead implementation of data lineage, metadata management, and lifecycle controls.
• Drive AI implementation within governance platforms for responsible metadata enrichment and stewardship workflows.
• Ensure compliance with data privacy, security, and regulatory requirements including GDPR, CCPA.
• Partner with stakeholders across business and technology teams to define governance priorities.
• Establish and oversee data quality frameworks, metrics, and monitoring processes.
• Drive integration of governance platforms into enterprise systems supporting analytics and AI use cases.
• Lead governance reviews, audits, and risk assessments to ensure compliance.
• Identify and mitigate data governance risks related to sensitive data.
• Promote data stewardship practices through training and organizational change management.
• Ensure platform reliability and operational effectiveness through monitoring.
• Maintain documentation supporting governance frameworks, lineage, and audit readiness.

Skills

Data governance

Enterprise platforms

Stakeholder influence

Analytical skills

Problem solving

Regulatory compliance

AI governance

Metadata management

Data privacy

Program leadership

Education

Bachelor’s or Master’s in CS/IS/Data Management

Tools

Collibra

Atlan

Alation

Manta

Job description

• Own and lead the Enterprise Platform strategy, including roadmap, adoption, and long-term scalability.
• Establish and enforce firm-wide data governance standards, policies, and operating models aligned with governance expectations.
• Provide end-to-end ownership of governance platforms such as Collibra, Atlan, Alation, and Manta, including configuration, lifecycle management, and continuous enhancement.
• Lead implementation of data lineage, metadata management, conceptual mapping, and lifecycle controls to ensure traceability, usability, and auditability.
• Drive AI implementation within governance platforms to enable responsible metadata enrichment, discovery, stewardship workflows, and governed AI use cases.
• Ensure compliance with data privacy, security, and regulatory requirements including GDPR, CCPA, and applicable industry standards.
• Partner with stakeholders across business and technology teams to define governance priorities and align metadata with business needs.
• Establish and oversee data quality frameworks, metrics, and monitoring processes.
• Drive integration of governance platforms into enterprise systems supporting analytics and AI use cases.
• Lead governance reviews, audits, and risk assessments to ensure compliance with internal and external controls.
• Identify and mitigate data governance risks, especially related to sensitive and regulated data.
• Promote data stewardship practices through training, communication, and organizational change management.
• Ensure platform reliability and operational effectiveness through monitoring and continuous improvement.
• Maintain documentation supporting governance frameworks, lineage, conceptual mappings, and audit readiness.

Experience and Qualifications

• 10+ years of experience in data governance, data management, or enterprise data platform roles.
• Proven experience leading Enterprise Platforms or programs.
• Strong understanding of governance frameworks and operating models.
• Experience implementing AI-enabled capabilities or supporting AI use cases within governed data platforms and enterprise data ecosystems.
• Understanding of responsible AI principles, metadata-driven AI enablement, and governance controls required to support compliant AI adoption.
• Deep knowledge of data privacy laws and regulatory compliance requirements (e.g., GDPR, CCPA).
• Experience operating within environments with strong audit, risk, and regulatory oversight.
• Demonstrated ability to influence cross-functional stakeholders and drive enterprise adoption.
• Strong analytical and problem-solving skills.
• Ability to translate business needs into scalable governance platform capabilities.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.

Preferred

• Certification in data governance or data management (e.g., DAMA CDMP).
• Hands‑on experience with Collibra, Atlan, Alation, or Manta.
• Experience leading enterprise governance adoption efforts.
• Experience supporting AI, analytics, or metadata-driven initiatives leveraging governed data.
• Familiarity with responsible AI governance, AI metadata models, or governance controls for enterprise AI implementations.
• Experience in financial services or other regulated industries.