Requirements

• 10+ years of experience in data systems, data governance, or analytics roles, with significant experience managing or coordinating across complex global teams
  
• Strong technical fluency across the data stack: cloud lakehouse platforms (Databricks preferred), Python and SQL, dbt or equivalent transformation tooling, pipeline orchestration, and BI/visualization tools (e.g. Power BI, Tableau)
  
• Experience developing and executing multi-year data strategies or product roadmaps in environments with evolving requirements and multiple stakeholder groups
  
• Experience assessing, rationalizing, and rebuilding data products on contemporary infrastructure – not just greenfield builds but migrating and modernizing legacy systems while maintaining continuity for end users
  
• Demonstrated ability to establish data standards, taxonomies, and governance frameworks and translate them into technical specifications and system requirements
  
• Track record of driving adoption and reducing reliance on manual processes in organizations where data literacy is uneven and stakeholder buy-in cannot be assumed – including eliminating shadow trackers and building user trust in systems of record
  
• Practical, hands-on experience applying AI and automation to data workflows – e.g. LLM-assisted data processing, automated quality checks, or agent-based approaches to reporting – with a realistic sense of where these tools add value and where they don’t
  
• Strategic thinker who can translate data-driven findings into actionable insights for audiences ranging from technical staff to senior executives
  
• Ability to juggle competing priorities and make progress against multiple simultaneous demands in a fast-paced, shifting environment
  
• Fluency in English required; Arabic, French, and/or Spanish an advantage
  
• Ability to travel globally up to 20% of the time