Sand Tech Holdings Limited
Senior Data Governance & Responsible AI Lead
USA · Senior
Sponsorship not specifiedDetected 2 days ago
Full-Stack DevelopmentPlatform EngineeringData EngineeringComplianceStakeholder ManagementHIPAAResearchLeadershipCommunicationCollaboration
About the role
- This role is critical to ensuring the city's data and AI ecosystem is governed with clear ownership, trusted metrics, operational controls, visible lineage, responsible AI practices, and production-ready governance processes.
- This is a hands-on leadership role focused on operationalizing governance - not simply defining policy.
Responsibilities
- Lead Operational Data Governance
- Lead implementation and operationalization of the BIC governance framework across data, analytics, and AI products.
- Lead governance readiness processes for datasets entering the BIC platform.
- Partner with agency stakeholders and technical teams to resolve governance and operational readiness gaps.
- Lead Metadata, Catalog & Lineage Governance
- Support operational governance of enterprise metadata capabilities and data catalog processes.
- Partner with engineering teams to improve transparency, traceability, and trust in the city's data ecosystem.
- Own KPI & Semantic Governance Processes
- Lead governance processes for KPI definitions, semantic consistency, and business metric approval.
- Partner with analytics, semantic-layer, and product teams to operationalize governance of business logic and reporting standards.
Requirements
- 8+ years of experience in data governance, information governance, analytics governance, enterprise data management, or related leadership roles.
- Proven experience operationalizing governance in complex, cross-functional environments.
- Strong knowledge of data ownership and stewardship, metadata and lineage, governance operating models, data quality, auditability, and governance controls.
- Experience working with cloud-based data and analytics platforms.
- Experience with responsible AI governance, AI-enabled operational systems, or AI risk management practices.
- Familiarity with metadata and catalog platforms such as OpenMetadata, Purview, Collibra, Alation, or similar technologies.
- Experience supporting KPI governance, semantic governance, business glossary management, or enterprise reporting standards.
- Due to the highly collaborative and internationally distributed nature of our work, successful candidates must be comfortable operating in small teams while contributing to larger, globally coordinated efforts.
Nice to have
- Preferred experience
Skills
- Sand Technologies is a global Physical AI company using data and AI to make critical industries work better.
- Our work delivers proven real-world impact.
- Our people are ambitious, curious and relentlessly practical.
- Our teams work alongside clients in the field, solving hard problems and deploying solutions that last.
Company info
- to harness AI to solve humanity's most pressing challenges.
- Ensure lineage and ownership are visible across source systems, platform layers, semantic assets, and intelligence products.
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