✦ Luna Orbit — Data & Analytics

Director of Data Science & Engineering

at Adobe

📍 2 Locations Unknown 💰 $186K – $358K USD / year Posted March 13, 2026
Salary $186K – $358K USD / year
Type Not Specified
Experience lead
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leading Adobe’s product success engineering team to build data foundations, develop predictive models, and deliver insights that enhance product adoption and customer health.

  • Build data foundation
  • Develop predictive models
  • Create KPI frameworks
  • Deliver dashboards
  • Collaborate with cross-functional teams

The technical scope includes data architecture, predictive modeling, KPI frameworks, real-time and batch analytics, and dashboard development, leveraging cloud data warehouses and BI tools.

The ideal candidate is a senior data science and engineering leader with extensive experience in building data foundations, developing predictive models, and creating KPI frameworks. They excel in cross-functional collaboration and driving data-driven decision-making at scale.

Data ScienceData EngineeringPredictive ModelingKPI FrameworksBusiness Intelligence
Machine LearningData ArchitectureData PipelinesReal-time AnalyticsDashboard Development
Cloud Data WarehouseBI ToolsAnalytics PlatformsData PipelinesDashboard Software
Data ScienceData EngineeringPredictive ModelingKPI FrameworksAnalyticsMachine LearningData ArchitectureData PipelinesBusiness IntelligenceDashboard Development
Data ScienceData EngineeringPredictive ModelingKPI FrameworksAnalyticsMachine LearningData ArchitectureData PipelinesCloud Data WarehouseReal-time AnalyticsBatch AnalyticsBusiness IntelligenceDashboard DevelopmentCustomer Insights
leadershipstrategic thinkingcross-functional collaborationcommunicationproblem-solving
Industry SaaS, Digital Experiences, Customer Success, Data Science
Job Function Leading data science and engineering initiatives to improve product success metrics
Data ScienceData EngineeringPredictive ModelsKPI FrameworksBusiness IntelligenceAnalyticsMachine LearningData PipelinesData ArchitectureDashboard DevelopmentCustomer InsightsReal-time AnalyticsBatch AnalyticsData WarehouseCross-functional CollaborationPredictive Modeling

Lack of experience in data science or engineering, No leadership experience in data teams, Inability to develop KPI frameworks or predictive models

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