Support the implementation and day-to-day operation of the enterprise Data Governance program, and contribute to the evolution of scalable governance operating models and stewardship practices.
Configure and maintain the Collibra Data Intelligence Platform, including communities, domains, asset types, attributes, and relationships.
Develop and enhance Collibra workflows, forms, and approval processes to support governance use cases (e.g., data access requests, issue management, policy approvals).
Assist in launching and maturing a Data Governance Catalog, including metadata onboarding, business glossary development, and stewardship alignment.
Partner with Data Stewards and Data Owners to document data definitions, ownership, classifications, policies, and quality rules.
Create and maintain governance documentation, standards, training materials, and operating procedures.
Support metadata ingestion and lineage integration efforts with data platforms (e.g., Snowflake, AWS, Azure, ETL tools).
Assist Data Quality leads in aligning governance artifacts with data quality rules, scorecards, and issue management processes.
Facilitate governance working sessions, steward onboarding, and user enablement workshops.
Track governance KPIs and adoption metrics and provide reporting to leadership.
Assist in managing governance backlog items and supporting continuous improvement initiatives.
Requirements
Bachelor’s degree in Information Systems, Computer Science, Business, or related field and 8+ years of relevant experience in Data Governance, Data Management, or Metadata Management.
Hands-on experience implementing or launching a Data Governance Catalog using Collibra at a prior organization.
Demonstrated experience configuring Collibra in a production environment, including custom asset models, lineage integrations, workflow automation, and form-based approvals.
Support metadata and governance practices that enable AI readiness, including data classification, lineage completeness, and integration of quality signals required for AI use cases.
Understanding of Data Governance frameworks, operating models, and stewardship concepts.
Familiarity with metadata management, data lineage, data classification, and data lifecycle management.
Experience collaborating with Data Stewards, Data Owners, and cross-functional stakeholders.
Strong documentation, communication, and facilitation skills.
Ability to manage multiple priorities and support operational governance activities.