Risk

• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Install and configure metadata/catalog tools in client environments.
• Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
• Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
• Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.
• Configure governance workflows (e.g., DG asset approvals, stewardship assignments, issue tracking).
• Leverage and guide customers on AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate execution and adoption.
• Partner with client IT teams to ensure tools are integrated into enterprise platforms and security models.

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