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Home/Jobs/Data, Governance & Adoption Analytics SME
Inbox Business Technologies logo
Inbox Business Technologies

Data, Governance & Adoption Analytics SME

🇸🇦 Riyadh, Saudi Arabia🏢 On-site
Data GovernancePower BIKPI FrameworkData QualityDAMA-DMBOKData PrivacySurvey Analysis

At a Glance

Category
💻 Technology
Level
Mid-Level
Experience
5+ years
Type
Full-time
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Inbox Business Technologies logo
Inbox Business Technologies

Inbox Business Technologies is looking for an experienced Data, Governance & Adoption Analytics SME to serve as the data governance and analytics authority for an organisational change or transformation programme — ensuring the technical accuracy of data-related content — while owning the end-to-end adoption-measurement framework, from KPI design through to dashboard delivery and reporting.

Employment Type: Full-time employment

Responsibilities

  • Serve as the subject-matter authority on data governance, data quality, data management, data privacy and BI/analytics concepts for all programme content.
  • Review and validate the technical accuracy of data-related communication and training content.
  • Design and maintain a KPI / adoption-measurement framework covering engagement, literacy and satisfaction metrics.
  • Build and maintain BI dashboards (e.g., Power BI) to track programme adoption and effectiveness.
  • Design, administer and analyse surveys (e.g., via Microsoft Forms or similar tools) to measure awareness, satisfaction and literacy.
  • Compile periodic (quarterly/annual) adoption and measurement reports, with trend analysis and improvement recommendations.
  • Advise on data-literacy frameworks and awareness-assessment design.
  • Support executive briefings and stakeholder sessions with data-domain credibility.
  • Maintain alignment with the organisation's data strategy, governance policies and relevant regulatory context.
  • Bachelor's degree in a relevant field (e.g., Data Management, Information Systems, Computer Science) with a minimum of 5 years' relevant experience in data governance, data management, data quality, analytics or BI.
  • Experience in enterprise data environments preferred.
  • Demonstrable experience building and maintaining BI dashboards and measurement frameworks.
  • Data governance and management frameworks (e.g., DAMA-DMBOK); data quality and data privacy.
  • BI & analytics; KPI framework design; dashboard development (Power BI or similar).
  • Survey design and analysis; stakeholder advisory.
  • Translating technical concepts for business audiences.
  • CDMP (DAMA) — preferred; a BI-platform certification (e.g., Power BI Data Analyst) — preferred; a cloud data-governance certification — a plus.
  • Language: English (fluent).

Requirements

  • •Bachelor's degree in Data Management, Information Systems, Computer Science, or a relevant field
  • •Minimum of 5 years' relevant experience in data governance, data management, data quality, analytics, or BI
  • •Experience in enterprise data environments preferred
  • •Demonstrable experience building and maintaining BI dashboards and measurement frameworks
  • •Knowledge of data governance and management frameworks (e.g., DAMA-DMBOK)
  • •Knowledge of data quality and data privacy
  • •Fluent in English

Nice to Have

  • •CDMP (DAMA) certification
  • •BI-platform certification (e.g., Power BI Data Analyst)
  • •Cloud data-governance certification

Responsibilities

  • •Serve as the subject-matter authority on data governance, data quality, data management, data privacy and BI/analytics concepts
  • •Review and validate the technical accuracy of data-related communication and training content
  • •Design and maintain a KPI / adoption-measurement framework covering engagement, literacy and satisfaction metrics
  • •Build and maintain BI dashboards (e.g., Power BI) to track programme adoption and effectiveness
  • •Design, administer and analyse surveys to measure awareness, satisfaction and literacy
  • •Compile periodic (quarterly/annual) adoption and measurement reports with trend analysis and improvement recommendations
  • •Advise on data-literacy frameworks and awareness-assessment design
  • •Support executive briefings and stakeholder sessions with data-domain credibility

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