About this role
Lead strategy, governance, and delivery of manufacturing data, data engineering, and AI/ML capabilities by overseeing data acquisition, architecture, access, tools, and operational processes to drive secure, cost-effective, business-aligned analytics outcomes. Responsibilities include scaling Databricks data engineering, governing data assets and access, managing ingestion priorities and service metrics, and overseeing operations and compliance for deployed AI/ML solutions.
Skills for this role
Data engineeringData ingestionData transformationData orchestrationData pipeline testingDeploymentMonitoringData governanceData access governanceCompliance auditsSoftware asset managementVersion governanceMLOpsDatabricksAzureData Lakehouse architectureML platformsMESSCADAERPSix SigmaPMPProduction supportPlatform deliveryProgram managementExecutive communicationStakeholder engagementVendor managementCross-functional alignmentGlobal team leadership''Analytical skills''Problem solving