Senior Data Governance & Responsible AI Lead
Sand Tech Holdings Limited
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Jul 19, 2026
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Jul 21, 2026
What this job asks for AI summary
A hands-on governance leadership role embedded in a city intelligence program, responsible for building and operationalizing data and AI governance frameworks across a complex public-sector environment. Day-to-day work spans establishing data ownership and stewardship processes, metadata and lineage standards, KPI governance routines, responsible AI review workflows, and audit-readiness controls — with a focus on making governance sustainable for city teams long-term. Suits an experienced governance practitioner comfortable working across technical, legal, and executive stakeholders in cross-functional settings.
Senior level · 8+ years · Baltimore-Columbia-Towson, MD
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (7)
SOC classification is genuinely ambiguous: this role is primarily a data governance and responsible AI governance leadership position — it does not cleanly map to any single SOC code. 15-2031 (Operations Research Analysts) was chosen as the closest fit given the analytical, governance, and decision-support orientation, but 15-1211 (Computer Systems Analysts) is a strong runner-up given the cross-functional systems and process analysis work.
The role is on-site at the Baltimore Intelligence Center (BIC); the posting does not offer remote work, though the company operates internationally.
No compensation figures are provided in the posting.
Employment type is not stated explicitly — the posting references an 'initial engagement' and 'initial implementation period,' which may suggest a contract or fixed-term arrangement, but this is not confirmed; left as Unspecified.
Metadata/catalog platforms (OpenMetadata, Purview, Collibra, Alation) and regulatory frameworks (NIST, CJIS, HIPAA, SOC 2, FedRAMP) appear under the 'Preferred experience' section and are marked accordingly.
The required skills list is intentionally lean: the posting's hard-gate requirements are largely domain capabilities (data governance, metadata, lineage, data quality, cloud platforms) rather than specific named tools, which limits the number of concrete technology skills that can be extracted.
Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance, metadata management, data quality management, responsible AI governance.
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