Director of Enterprise Intelligence

KFC Division

WorldwideFully remoteFull TimeDirectorInformation Technology
USD 195,200–215,000 a yearPosted 5h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 5 hours ago · apply link checked 4 hours ago

About the role

Responsibilities

  • Operationalize digital experience signals into engineering and product triage with quantified impact
  • Lead the Experimentation Center of Excellence across digital, CRM and on-platform experiences
  • Own enterprise BI strategy and governed KPIs for restaurant, finance and franchise reporting
  • Define data quality SLAs, monitoring and incident response for analytics pipelines
  • Own the Databricks analytics roadmap, Unity Catalog, semantic models and Genie AI spaces
  • Manage Databricks and implementation partners, vendors, budgets and ROI
  • Lead and develop a multidisciplinary team spanning digital analytics, BI and data engineering

Requirements

  • 12+ years in analytics, BI, data engineering or applied decision science
  • 6+ years leading enterprise teams and platforms
  • Deep SQL expertise and data modeling, pipelines and semantic layers
  • Hands-on Databricks Lakehouse, Unity Catalog and AI/BI experience
  • Experience with Amplitude or equivalent digital analytics and experimentation platforms
  • Ability to ground natural-language analytics in certified data with guardrails
  • Executive and franchise-level communication skills

Preferred Qualifications

  • QSR, retail or multi-unit franchise experience
  • Experience with POS, kiosk, aggregator and loyalty system integrations
  • Exposure to forecasting, optimization or recommendation systems
  • Experience embedding Genie experiences in Microsoft Teams
  • Customer data platform and Customer 360 modernization experience

About the Company

  • KFC is a global quick-service restaurant brand operating under Yum! Brands.

What we look for

  • 12+ years in analytics, BI, data engineering or applied decision science
  • 6+ years leading enterprise teams and platforms
  • Deep SQL expertise and data modeling, pipelines and semantic layers
  • Hands-on Databricks Lakehouse, Unity Catalog and AI/BI experience
  • Experience with Amplitude or equivalent digital analytics and experimentation platforms
  • Ability to ground natural-language analytics in certified data with guardrails
  • Executive and franchise-level communication skills
  • QSR, retail or multi-unit franchise experience
  • Experience with POS, kiosk, aggregator and loyalty system integrations
  • Exposure to forecasting, optimization or recommendation systems
  • Experience embedding Genie experiences in Microsoft Teams
  • Customer data platform and Customer 360 modernization experience
SQLLeadershipData ManagementBusiness IntelligenceMachine LearningData ScienceTableauPower BIDatabricksData Engineering
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