Job Summary (List Format) Senior Data Product & Governance Specialist
- Serve as a bridge between technical data engineering and enterprise strategy by developing, validating, and maintaining analytical assets (datasets, metrics, models). - Implement and oversee sophisticated data and AI governance frameworks to ensure compliance, risk management, and ethical standards. - Manage enterprise metadata and catalog platforms, ensuring automated lineage and consistency across cloud and ERP environments. - Establish and monitor rigorous data quality standards, access controls, and model risk oversight for trusted analytical outputs. - Document and maintain comprehensive metadata and interpretability information to promote transparency and explainability for stakeholders. - Collaborate with cross-functional, agile teams to integrate data assets into operational workflows and continuously improve integration processes. - Translate complex business requirements into structured metadata and analytics standards. - Apply strong analytical and diagnostic skills to identify issues and drive actionable process improvements. - Leverage knowledge of AI governance, ethics, and model validation concepts (preferred). - Requires a Bachelor's degree in a relevant technical field and 2 4 years' experience in data, analytics, or AI roles, with a focus on governance or metadata management.
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