Data engineering program manager
Data Engineering Program ManagerLocation: Mounds View, MNFull TimeMust Have Technical/Functional SkillsSnowflake: Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.Cloud Platforms: AWS preferred; Azure and GCP exposure beneficial.Data Engineering Technologies: Python, SQL, DBT, Airflow, ETL/ELT frameworks, API Management: Data Modeling, Data Governance, Master Data Management, Data Quality.Certifications & Domain KnowledgePMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification and/or Databricks /Azure Solution Architect leading AI/GenAI-enabled data programs.Experience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.Roles & ResponsibilitiesProgram LeadershipLead end-to-end delivery of enterprise data engineering and analytics programs.Define program roadmap, milestones, dependencies, risks, and governance structures.Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML executive-level status reporting and steering committee governance.Data Platform StrategyPartner with business and IT leaders to define enterprise data strategies leveraging Snowflake and platform modernization, data lakehouse, and cloud migration alignment between business objectives, architecture standards, and technology roadmaps.Delivery ManagementCoordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.Manage Agile delivery across multiple workstreams.Track program KPIs including schedule, financials, quality, productivity, and business outcomes.Ensure successful transition from project implementation to steady-state EngagementServe as the primary liaison between business leaders, data teams, architecture groups, and external partners.Facilitate steering committee reviews and executive decision-making and issue resolution across organizational boundaries.Data Governance & ComplianceEnsure compliance with enterprise data governance standards.Oversee data quality, metadata management, security, privacy, and regulatory requirements.Drive adoption of data cataloging and lineage frameworks.Financial & Vendor ManagementManage program budgets and forecasts.Oversee vendor performance and contractual deliverables.Track business value realization and ROI for data & Continuous ImprovementIdentify opportunities to leverage AI/GenAI, automation, and advanced analytics.Promote engineering best practices and operational excellence.Drive platform optimization, FinOps, and cost governance Managerial Skills, If anyProgram delivery within budget and schedule.Business value realization from data platform adoption and user time-to-insight and improved analytics capabilities.Improved platform reliability, scalability, and cost efficiency.Successful governance and regulatory compliance adherence.