Sand Tech Holdings Limited - Senior Data Governance & Responsible AI Lead
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. • Ability to work effectively across technical teams, business stakeholders, legal/security partners, and executive leadership. • Strong facilitation, stakeholder management, communication, and documentation skills. • Experience in government, civic technology, public-sector, healthcare, infrastructure, transportation, or other regulated environments. • 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. • Working familiarity with governance and regulatory frameworks such as NIST, CJIS, HIPAA, SOC 2, or FedRAMP-related environments. • Experience supporting KPI governance, semantic governance, business glossary management, or enterprise reporting standards. • What Success looks like • Success in this role includes establishing governance practices that are operational, scalable, and sustainable across the Baltimore Intelligence Center. • By the end of the initial engagement, the program should have: • Operational governance processes embedded into delivery workflows. • Named ownership and stewardship for priority datasets. • Governed KPI and semantic review processes. • Operational AI governance and risk review workflows. • Visible metadata and lineage standards. • Governance scorecards and reporting routines. • Governance practices that city teams can sustain independently over time. • How we work • How we work • 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. A strong sense of ownership, self-motivation and discipline in maintaining clear and consistent communication through virtual collaboration tools and video conferencing is essential.
Responsibilities
• Lead Operational Data Governance • Lead implementation and operationalization of the BIC governance framework across data, analytics, and AI products. • Establish governance workflows for data ownership, stewardship, approvals, escalation paths, and auditability. • Ensure governance processes are embedded into day-to-day delivery and operational decision-making. • Coordinate governance activities across city agencies, OPI leadership, and delivery teams. • Govern Source-System Readiness & Stewardship • Lead governance readiness processes for datasets entering the BIC platform. • Ensure priority datasets have named owners and stewards, approved access pathways, documented refresh cadences, lineage visibility, quality expectations, and operational governance controls prior to production use. • Partner with agency stakeholders and technical teams to resolve governance and operational readiness gaps. • Lead Metadata, Catalog & Lineage Governance • Establish governance standards for metadata, lineage, business glossary, and catalog completeness. • Support operational governance of enterprise metadata capabilities and data catalog processes. • Ensure lineage and ownership are visible across source systems, platform layers, semantic assets, and intelligence products. • 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. • Ensure intelligence products use standardized and approved definitions across domains and agencies. • Partner with analytics, semantic-layer, and product teams to operationalize governance of business logic and reporting standards. • Ensure production KPIs are documented, reviewed, governed, and aligned to approved definitions. • Operationalize Responsible AI Governance • Lead governance workflows for AI-enabled use cases and intelligence products. • Manage governance processes including use-case intake, risk tiering, privacy and security review coordination, human-in-the-loop controls, logging and traceability expectations, and post-launch governance monitoring. • Help ensure AI-enabled products are governed with appropriate transparency, oversight, and operational controls. • Lead Governance Reporting, Quality & Audit Readiness • Establish governance reporting, operational scorecards, and governance review routines. • Partner with technical teams to define governance expectations for data quality, monitoring, and issue escalation. • Ensure governance processes support auditability, inspectability, and public-sector accountability requirements. • Support governance reviews for public-facing or operationally sensitive intelligence products. • Drive Capability Transfer & Sustainability • Develop governance playbooks, templates, SOPs, and operational documentation. • Partner with OPI staff to transition governance capabilities into sustainable city operations. • Help establish long-term governance routines that can operate independently following the initial implementation period.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT