✦ Luna Orbit — Data & Analytics

Sr. Data Product Manager

at Skechers U.S.A.

Hybrid 💰 $120K – $150K USD / year Posted March 13, 2026
Salary $120K – $150K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leading the strategy and delivery of enterprise data products, integrating AI/ML, and enabling data-driven decision-making across the organization.

  • Define data strategy
  • Lead data product delivery
  • Develop dashboards
  • Incorporate AI/ML
  • Engage stakeholders

The technical scope includes data platforms, analytics tools, AI and machine learning integration, dashboards, and data storytelling.

The ideal candidate is a senior data product manager with expertise in developing data-driven solutions, dashboards, and integrating AI and machine learning into analytics products. They possess strong stakeholder engagement and strategic planning skills.

Data Product StrategyAnalytics SolutionsDashboard DesignData FoundationsAI & Machine Learning
Generative AIData StorytellingData VisualizationData QualityBusiness Metrics
Data PlatformsAnalytics ToolsAI Platforms
Data Product ManagementData StrategyAnalytics SolutionsDashboardsData FoundationsAIMachine LearningGenerative AIData VisualizationData StorytellingData QualityBusiness MetricsRequirement GatheringStakeholder EngagementData Platforms
Data Product ManagementData StrategyData DeliveryAnalytics SolutionsDashboardsData FoundationsAIMachine LearningGenerative AIData VisualizationData StorytellingData QualityBusiness MetricsRequirement GatheringStakeholder EngagementData Platforms
LeadershipCommunicationStrategic ThinkingCollaborationProblem-solvingPresentation Skills
Industry Retail / E-commerce / Consumer Goods
Job Function Lead enterprise data product strategy and implementation
Data Product ManagementData StrategyAnalytics SolutionsDashboardsData FoundationsAIMachine LearningGenerative AIData VisualizationData StorytellingData QualityBusiness MetricsRequirement GatheringStakeholder EngagementData Platforms

Lack of experience in data product management, No familiarity with AI or machine learning, Unable to translate business needs into data solutions, Lack of stakeholder engagement skills, No experience with dashboards or data visualization

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