Senior Manager - Data Analytics and Governance

MiniMed•Johns Creek, GA
•$136,000 - $230,000•Hybrid

About The Position

The Senior Manager, Data Platforms & Governance leads the tactical execution and day-to-day operations of data solutions that support analytics, AI, and product innovation. Reporting to the Senior Director, Data Platforms & Governance, the role manages engineering teams responsible for maintaining a trusted, FDA-compliant data foundation. It also oversees architecture modernization, including end-to-end solution design, Medallion Lakehouse implementation, and migration of enterprise reporting from Snowflake to Databricks. The position is hybrid and requires at least three days per week on-site.

Requirements

  • Bachelor’s degree and at least 7 years of relevant experience, including 5 or more years of managerial experience; or an advanced degree and at least 5 years of relevant experience, including 5 or more years of managerial experience.
  • Progressive experience in data engineering, data hub architecture, and data governance.
  • Hands-on experience with cloud-native data platforms such as Databricks or Snowflake and cloud infrastructure on AWS or Azure, including ADLS, ADF, S3, or Glue.
  • Experience designing and delivering enterprise data hubs or lakehouse architectures that integrate multiple sources such as ERP/SAP, IoT/device, CRM, and third-party feeds.
  • Proficiency in Python, PySpark, Scala, or SQL for technical fluency and architecture review.
  • Experience migrating large-scale enterprise data from Snowflake to Databricks without reporting downtime.
  • Advanced expertise in Medallion architecture, data modeling, and automated pipeline orchestration.
  • Operational proficiency in SQL, Python, or PySpark for code review and complex system architecture review.
  • Familiarity with data governance and quality tools, such as data catalogs, lineage tools, MDM platforms, and data quality engines.
  • Business acumen to frame data platform strategy in terms of business value, quantify outcomes, and influence executive-level decisions.
  • Experience in medical devices, digital health, life sciences, or a HIPAA-covered environment.
  • Experience applying continuous improvement frameworks to data operations, including MTTR reduction, SLA improvement, or cost optimization.
  • Ability to work on-site at least three days per week in a hybrid arrangement.

Nice To Haves

  • At least 3 years of people leadership experience.
  • Cloud data technology platform certifications such as Data Engineer Professional, Lakehouse Fundamentals, or equivalent.
  • CDMP, DAMA, or equivalent data management certification.

Responsibilities

  • Lead the Power BI reporting migration from Snowflake to Databricks while ensuring business continuity for analytical dashboards.
  • Manage end-to-end solution design for data integration pipelines, backend engineering, and enterprise reporting.
  • Own the implementation of Bronze, Silver, and Gold Medallion Architecture layers in Databricks.
  • Design complex data workflows and highly available distributed systems integrating clinical telemetry, ERP, and CRM data.
  • Apply data modeling principles, optimizing schemas, aggregate tables, and semantic layers for analytical performance.
  • Optimize workloads and compute performance to reduce cloud consumption costs and query latency.
  • Manage and mentor data engineers, platform engineers, and data architects delivering end-to-end data pipelines.
  • Establish reliability standards, track operational SLAs and data quality metrics, and drive MTTR reduction.
  • Operationalize policies and standards established by the enterprise data governance framework.
  • Supervise data stewards to ensure consistency, lineage, and completeness across patient, product, and device domains.
  • Enforce HIPAA, 21 CFR Part 11, and FDA data integrity requirements across managed pipelines.
  • Prepare technical data lineage documentation and quality compliance logs to support regulatory audits.
  • Deploy data pipelines optimized for Gen AI adoption, including curated feature stores and vector-store repositories.
  • Track model lineage and maintain data traceability to help prevent bias in a regulated medical context.
  • Coach team members, conduct performance reviews, and support technical skill development.
  • Monitor operational spending and identify efficiencies within the platform infrastructure budget.
  • Provide technical updates to the Senior Director to support roadmap planning and risk assessment.

Benefits

  • Competitive salary and flexible benefits package.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • Health Savings Account access.
  • Healthcare Flexible Spending Account.
  • Life insurance.
  • Long-term disability leave.
  • Dependent daycare spending account.
  • Incentive plans, including short-term incentive eligibility.
  • 401(k) plan with company match.
  • Short-term disability coverage.
  • Paid time off and holidays.
  • Employee Stock Purchase Plan participation.
  • Employee Assistance Program access.
  • Potential eligibility for a Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements.
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