Specialist - Data Quality and Governance

Data & AI Governance Program Management:
• Contribute to the implementation and operationalization of data and AI governance policies, standards, and procedures through governance tooling (Atlan).
• Translate governance requirements into configurations, workflows, and controls within the data governance platform.
• Support the technical execution of data stewardship and ownership models, ensuring governance policies are effectively applied and traceable.

Data Quality Assurance:
• Configure and support data quality rules, checks, and monitoring mechanisms within governance and data platforms.
• Support data profiling, quality assessments, and issue tracking through tooling and metadata-driven approaches.
• Assist in the definition and operationalization of data quality metrics and dashboards, in collaboration with data engineering and analytics teams.

Data Security and Compliance:
• Support the technical implementation of data security and privacy requirements (e.g. classification, sensitivity labels, access-related metadata) within governance and data platforms.
• Collaborate with security and IT teams to ensure governance tooling aligns with data protection, privacy, and compliance standards.
• Stakeholder Collaboration & Training
• Engage with business units, IT, and analytics teams to promote data governance best practices.
• Provide training and guidance on data governance tools and policies.
• Facilitate workshops and forums to drive data stewardship culture.

Tool Implementation & Management:
• Administer, configure, and evolve Atlan as the central data governance platform, including catalog setup, metadata ingestion, stewardship roles, workflows, policies, and quality-related capabilities.
• Provide hands-on operational support to Data Stewards and technical users, including troubleshooting, configuration support, and enablement.
• Ensure effective integration between Atlan and core data platform technologies (e.g. Snowflake and Power BI) to support metadata synchronization, lineage, and governed data consumption.
• Stay up to date with Snowflake and Power BI governance-related capabilities and contribute to defining technical actions or standards within those platforms to strengthen end‑to‑end data governance.

Continuous Improvement & Technical Enablement:
• Monitor emerging data governance, data quality, and AI related technologies to identify opportunities to complement or enhance the current governance tooling ecosystem.
• Contribute to technical documentation, usage guidelines, and practical enablement materials related to governance tools and processes.