✦ Luna Orbit — Data & Analytics

Manager, Engineering (Insights & FinOps)

at Alteryx

📍 Remote, US Remote 💰 $136K – $177K USD / year Posted March 04, 2026
Salary $136K – $177K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves leading the Engineering Insights and FinOps functions, creating operational dashboards, managing cloud costs, and providing strategic insights to engineering and executive teams.

  • Lead engineering insights
  • Manage data-driven dashboards
  • Implement cloud cost strategies
  • Partner with finance
  • Drive operational excellence

The technical environment includes SQL, Python, BI tools like Superset, and cloud platforms, with a focus on data analysis, cost attribution, and performance metrics.

The ideal candidate is a data and engineering operations professional with a strong FinOps background, experienced in building data-driven organizations, managing cloud costs, and designing operational dashboards using tools like Superset.

FinOps backgroundBuilding data-driven engineering organizationsManaging engineering health metricsDesigning dashboardsCloud cost visibilityCost attribution modelsPartnering with finance
Experience with SupersetCloud infrastructure knowledge
SupersetSQLPythonCloud platforms
SQLPythonBIBusiness IntelligenceSupersetFinOpsCloud cost managementEngineering metricsOperational dashboardsData analysisCost attributionCloud spendEngineering performanceData-driven organizationFinancial accountability
SQLPythonBusiness IntelligenceBISupersetCloud cost managementFinOpsData analysisOperational dashboardsEngineering performance metrics
leadershipcommunicationproblem-solvingcollaborationanalytical thinking
Industry Technology/SaaS
Job Function Engineering Insights & FinOps Manager
SQLPythonBIBusiness IntelligenceSupersetFinOpsCloud cost managementEngineering metricsOperational dashboardsData analysisCost attributionCloud spendEngineering performanceData-driven organizationFinancial accountability

Lack of FinOps experience, No experience with data visualization tools like Superset, Unfamiliarity with cloud cost management, No background in engineering metrics, Willingness to work only on-site

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