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Director Strategy Lead – Data & Analytics Transformation

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: AIQU
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

-Contract Duration: 5 Months extendable on the project vasis

Job Summary

We are seeking an experienced Director / Lead – Data & Analytics Transformation to drive enterprise-wide data and analytics initiatives. This role will lead current-state assessments, define future-state data architecture, prioritise transformation initiatives, and deliver high-impact analytics solutions. The position requires strong expertise in data architecture, analytics platforms, governance, and enterprise integration
.

Key Responsibilities
  • Lead enterprise data and analytics assessments
    , including systems, data quality, reporting, and governance.
  • Define future-state data architecture and analytics strategy
    .
  • Translate business needs into technical data and analytics solutions
    .
  • Prioritise initiatives through technical feasibility and cost-benefit analysis
    .
  • Develop transformation roadmaps, architecture blueprints, and implementation plans
    .
  • Oversee delivery of pilot dashboards and analytics solutions using modern BI tools.
  • Provide technical leadership across data governance, integration, and platform modernisation.
Required Experience & Skills
  • 12+ years of experience in data, analytics, or technology transformation roles.
  • Strong expertise in data architecture, data integration, BI platforms, and analytics ecosystems
    .
  • Experience with data governance, data quality, metadata management, and MDM
    .
  • Hands‑on knowledge of BI tools such as Power BI, Tableau, or similar
    .
  • Proven ability to lead large‑scale, enterprise transformation initiatives and senior stakeholders.
  • Must have consulting experience
Education
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
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