Lead program efforts to maintain and expand the Collibra data catalog, including onboarding new datasets, domains, and business terms.
Configure and promote use of Collibra capabilities such as business glossary, data dictionary/metadata, lineage, workflow, and certification/curation.
Develop documentation and enablement materials to drive consistent catalog usage by technical and non-technical users.
Partner with data owners and SMEs to enhance data dictionary, business definitions, and technical metadata.
Capture and maintain end-to-end data lineage across pipelines and systems to improve transparency, auditability, and trust.
Establish processes for metadata quality checks and periodic review/certification of critical data assets.
Design and develop conceptual, logical, and solution data models supporting operational systems and analytics platforms.
Translate business requirements into robust data structures, relationships, and workflows to support reporting, operational use, and analytics.
Analyze existing datasets and legacy schemas to guide data migration, rationalization, and application/service modernization efforts.
Collaborate with product owners, developers, DevSecOps engineers, business analysts, and data engineers to ensure governance is embedded in delivery.
Support solutioning efforts by aligning data modeling and governance practices to delivery roadmaps and release plans.
Communicate governance decisions, standards, and progress to stakeholders, including leadership audiences.
Requirements
5+ years of experience
Bachelor’s degree
Data Governance & Data Management
5+ years of experience in data governance, data management, metadata management, and/or data stewardship in complex organizations.
Demonstrated ability to define and operationalize governance processes (e.g., ownership, stewardship, approvals, issue management).
Hands-on experience supporting or implementing Collibra (catalog/business glossary/metadata workflows), including onboarding datasets and maintaining documentation.
Strong understanding of metadata, including business metadata, technical metadata, and lineage concepts.
Proven experience creating conceptual, logical, and physical/solution data models.
Strong proficiency with SQL and ability to assess schemas, relationships, and data quality issues.
Ability to analyze and document legacy data structures to inform modernization and migration strategies.
Experience producing clear, standardized documentation for both technical and business audiences.
Ability to facilitate workshops/interviews with SMEs to capture definitions, rules, and lineage.