Implement and maintain enterprise data catalogs, metadata repositories, and business glossaries to improve data discoverability and understanding.
Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines.
Support the definition and rollout of governance processes including data ownership, stewardship, issue management, certification, and lifecycle management.
Facilitate alignment between technical teams and business stakeholders on data definitions, quality expectations, and usage standards.
Assist in establishing data domains, data products, and stewardship models aligned to modern architectures such as lakehouse, data mesh, or data fabric.
Coordinate data quality monitoring, issue triage, and remediation workflows in collaboration with engineering and analytics teams.
Support the implementation of data access controls, classification, tagging, and role-based policies in alignment with Zero Trust principles.
Contribute to governance documentation including standards, playbooks, operating procedures, and onboarding materials.
Participate in governance councils, working groups, and stakeholder forums to drive adoption and continuous improvement.
Help measure governance effectiveness using adoption metrics, data quality indicators, catalog usage, and maturity assessments.
Support compliance-related activities by ensuring metadata, lineage, and documentation are audit-ready and traceable.
Assist with tool configuration and integration for governance platforms such as Collibra, Alation, Atlan, Informatica, or cloud-native catalogs.
Stay current with emerging trends in data governance, metadata automation, and AI-ready data management practices.
You will contribute to the growth of our AI & Data Exploitation Practice!