Data Governance Manager

A typical day as a Data Governance Manager might include the following:

• Executing and monitoring enterprise data governance policies, standards, controls, and procedures across the firm's data and analytics ecosystem.
• Administering and maintaining the enterprise data governance platform, including data domains, data sources, scanning schedules, metadata, business glossaries, lineage, retention policies, and other catalog assets.
• Identifying, onboarding, and partnering with Data Owners, Data Stewards, and Data Readers to establish accountability, maintain documentation, and promote governance adoption across the organization.
• Facilitating the creation, standardization, and ongoing maintenance of data products, governance documentation, business definitions, and governance workflows.
• Serving as Microsoft Fabric Tenant Administrator, overseeing capacity management, workspace administration, lifecycle controls, feature enablement, and platform governance standards.
• Monitoring platform usage and data access patterns, providing guidance on data management, sharing, security, and governance best practices while identifying and remediating governance or compliance risks.
• Partnering with IT Security to implement, maintain, and validate data classification, sensitivity labeling, data loss prevention (DLP), and related security controls.
• Administering enterprise data access and security, including One Lake Security, role-based access models, security groups, service principals, and other identity and access management controls.
• Conducting access reviews and governance audits to ensure compliance with zero trust, least privilege, data protection, and environment segregation requirements.
• Monitoring platform telemetry, audit logs, governance metrics, and compliance indicators to identify trends, risks, optimization opportunities, and areas for continuous improvement.
• Supporting governance maturity initiatives, roadmap planning, and the development of governance standards by providing operational expertise and execution-focused recommendations.
• Participating in governance councils, communities of practice, and cross-functional initiatives to promote governance awareness, consistency, and adoption.
• Serving as an escalation point for complex data governance, security, platform administration, and access management issues requiring cross-functional coordination.
• Supporting governance standards for emerging technologies, including AI-enabled solutions, automation, and agent-driven workflows, ensuring the responsible, secure, and compliant use of organizational data.
• Ensuring timely and accurate performance on assigned projects.
• Maintaining compliance with project budgets, turnaround times, and deadlines.

• You have a Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Architecture, Cybersecurity, or a related field required; equivalent combinations of education and experience may be considered.
• You have 7+ years of progressive experience in data governance, analytics, security, platform administration, or related technology disciplines.
• You have experience administering enterprise analytics and data platforms, including Microsoft Fabric, Power BI, Synapse, Azure Data Services, or similar technologies.
• You have experience managing data governance, security, access controls, and platform administration functions with a high degree of independence.
• You have SQL, Python, or similar technical skills preferred.
• You have advanced knowledge of Microsoft Fabric, Power BI, One Lake, workspace administration, security roles, sharing models, and capacity management.
• You have knowledge of enterprise data governance concepts, including metadata management, business glossaries, lineage, stewardship, and data catalog administration.
• You have experience administering SharePoint and supporting secure management of unstructured content.
• You have knowledge of Microsoft Entra , Azure security administration, service principals, privileged access management, and identity governance.
• You have an understanding of data security principles, including zero trust, least privilege, sensitivity labeling, data classification, and data loss prevention.
• You have the ability to analyze governance, security, and compliance risks and implement practical solutions.
• You have strong collaboration, communication, and relationship-building skills with both technical and…