Chief Data Strategy & AI Transformation Officer| Retail | Corporate | UAE
- دبي
- دائم
- دوام كامل
- Revenue Expansion: By identifying and activating AI-powered opportunities that enhance customer engagement, personalize offerings, and open new service lines.
- Cost Optimization: By streamlining operations, improving decision-making, and automating processes through data intelligence.
- Value Realization: By ensuring that data assets are leveraged to drive measurable business outcomes across functions such as sales, leasing, asset management, and customer experience
- Strategic Leadership
- Strategic Leadership: Ability to define and execute a data and AI strategy that aligns with business transformation goals.
- Business Acumen: Deep understanding of Retail business operations, value drivers, and how data can unlock efficiencies and growth.
- Data Governance & Ethics: Expertise in establishing governance frameworks, ensuring compliance, and promoting ethical AI use.
- Stakeholder Engagement: Skilled in translating business needs into data initiatives and securing cross-functional buy-in.
- Change Management: Proven ability to lead cultural and operational shifts toward data-driven decision-making.
- AI Literacy & Enablement: Familiarity with AI concepts (LLMs, ML, GenAI) and ability to guide non-technical teams in their adoption.
- Portfolio Oversight: Experience managing a portfolio of data and AI initiatives across multiple business units.
- Master's degree in business administration, Data Science, Economics, or a related field
- Participation in executive data literacy programs and AI strategy workshops is highly valued.
- 12-15 years in data strategy, analytics, or transformation roles, with at least 5 years in a senior leadership capacity.
- Experience in Retail or adjacent sectors with complex data ecosystems.
- Transformation Leadership: Demonstrated success in leading enterprise-wide data modernization or AI-driven transformation programs.
- Proven track record of working with finance, operations, marketing, and technology teams to deliver business outcomes.