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Senior Data Governance & Responsible AI Lead

Sand Technologies

Job at a glance

Category
AI Governance
Work arrangement
Remote
Location
Remote
Posted
Jul 27, 2026
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Sand Technologies is hiring a Senior Data Governance & Responsible AI Lead in Remote. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with Sand Technologies.

About Sand Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure. Our work delivers proven real-world impact. We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa. From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments. Our people are ambitious, curious and relentlessly practical. Our teams work alongside clients in the field, solving hard problems and deploying solutions that last. With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building. Our mission is simple: to harness AI to solve humanity’s most pressing challenges. About the role Sand Technologies is seeking a Senior Data Governance & Responsible AI Lead to establish and operationalize the governance foundation for the Baltimore Intelligence Center. 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. The successful candidate will lead governance implementation across the BIC program, working closely with city leadership, BCIT/security, legal stakeholders, platform engineering, data engineering, product teams, and agency data owners. This is a hands-on leadership role focused on operationalizing governance, not simply defining policy. The role will be responsible for establishing governance workflows, stewardship practices, AI governance processes, metadata standards, KPI governance routines, auditability controls, and governance reporting required to support production intelligence products and long-term city ownership. What you’ll do 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

Full responsibilities and requirements are on Sand Technologies's application page.

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About Sand Technologies
Hiring for governance, risk, and compliance jobs on GRC Careers.
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Location and market context

This is a remote AI governance job, so it draws from a national talent pool rather than a single metro. Remote governance and compliance jobs reward candidates who can show they work effectively across time zones and distributed legal, security, and product teams. Confirm any residency, travel, or occasional-onsite expectations directly with Sand Technologies.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Sand Technologies would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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