Data Science & Governance SME
Inbox Business Technologies
| Company | Inbox Business Technologies |
| Category | Data & Analytics |
| Location | Riyadh |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 11 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Inbox Business Technologies is looking for an experienced Data Science & Governance SME to provide data-domain expertise across both segments — ensuring communication content on data governance, quality, privacy, management and BI is technically accurate and credible, and underpinning the design and interpretation of data-literacy and adoption measures. Employment Type: Full-time employment Responsibilities Serve as the authority on data governance (DAMA-DMBOK), data quality, data management, data privacy/PDPL and BI/analytics for all programme content. Review and validate the technical accuracy of data-domain content — governance, quality, privacy, roles-and-responsibilities and BI messaging. Co-design the data-literacy framework and the Data Awareness Survey, and advise on data-literacy assessment measures under Segment 3. Support executive briefings and immersion sessions with data-domain credibility. Interpret data-literacy metrics with the Adoption Analyst and recommend content or intervention adjustments. Maintain alignment with TAWAL's data strategy, policies and the KSA regulatory context (PDPL, NDMO, SDAIA). Requirements 8–12 years in data governance, data management, data quality or analytics, ideally with advisory or change-enablement exposure. Experience in enterprise or telecom/infrastructure data environments preferred. Familiarity with the KSA regulatory context (PDPL, NDMO, SDAIA) strongly preferred. Data governance and DAMA-DMBOK; data quality and data management. Data privacy / PDPL; BI & analytics; data science / analytics concepts. Data-literacy framework and awareness-survey design. Translating technical concepts for business audiences; stakeholder advisory. Certifications in CDMP (DAMA) — preferred; Informatica or a cloud data-governance certification — a plus. Language: English (fluent).