Manager, Data Platforms & Governance
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+22 more
Job description
As the Senior Manager, Data Platforms & Governance, you will lead the tactical execution and day-to-day operations of the data solutions, powering our analytics, AI, and product innovation.
Reporting directly to the Senior Director, Data Platforms & Governance, you will manage engineering teams responsible for maintaining a trusted, FDA-compliant data foundation. In addition to core data governance, you will directly oversee the architecture modernization efforts, including end-to-end solution design, Medallion Lakehouse implementation, and the migration of enterprise reporting from Snowflake to Databricks.
This role is Hybrid requiring 3 days minimum on-site per week.
Responsibilities may include the following and other duties may be assigned.
Migration, Architecture & Solution Design
- Lead the Power BI reporting migration from Snowflake to Databricks, ensuring zero business disruption and seamless continuity for analytical dashboards.
- Manage end-to-end solution design incorporating complex data integration pipelines, scalable backend engineering, and front-end enterprise reporting.
- Own the Medallion Architecture implementation (Bronze, Silver, Gold layers) within Databricks to systematically clean, enrich, and structure data for production readiness.
- Design complex data workflows and highly available distributed systems that seamlessly merge clinical telemetry, ERP, and CRM data streams.
- Enforce robust data model design principles, optimizing star/snowflake schemas, aggregate tables, and semantic layers for analytical speed.
- Optimize workloads and compute performance across both migration phases and steady-state processing to lower cloud consumption costs and query latency.
Data Engineering Execution
- Manage and mentor a team of data engineers, platform engineers, and data architects delivering end-to-end data pipelines.
- Implement reliability standards, tracking operational SLAs, data quality metrics, and driving MTTR reduction.
Data Governance & Master Data Management (MDM)
- Operationalize policies and standards defined by MiniMed’s enterprise data governance framework.
- Supervise data stewards to ensure data consistency, lineage, and completeness across patient, product, and device domains.
- Enforce compliance standards including HIPAA, 21 CFR Part 11, and FDA data integrity requirements across all managed pipelines.
- Support regulatory audits by preparing technical data lineage documentation and quality compliance logs.
AI & Gen AI Foundation Support
- Deploy data pipelines optimized for Gen AI adoption, including curated feature stores and vector-store repositories.
- Track model lineage and maintain data traceability to prevent bias within a regulated medical context.
Team Leadership & Administration
- Drive team performance through routine coaching, performance reviews, and technical skill development.
- Monitor operational spend, identifying cost efficiencies within the allocated platform infrastructure budget.
- Provide technical updates to the Senior Director to assist in roadmap planning and risk assessment.
Requirements
- Requires a Bachelor’s degree and minimum of 7 years of relevant experience with 5+ years of managerial experience, or advanced degree with a minimum of 5 years of relevant experience with 5+ years of managerial experience., * Progressive experience in data engineering, data hub architecture, and data governance, with at least 3 years in a people leadership role
- Deep, hands-on expertise with cloud-native data platforms - like Databricks/Snowflake and cloud infrastructure on AWS or Azure (ADLS, ADF, S3, Glue)
- Demonstrated experience designing and delivering enterprise data hubs or lakehouse architectures integrating multi-source data (ERP/SAP, IoT/device, CRM, third-party feeds)
- Proficiency in Python, PySpark, Scala, or SQL for technical fluency and architecture review
- Proven track record of successfully migrating large-scale enterprise data footprints from Snowflake to Databricks without reporting downtime.
- Architectural Mastery: Advanced expertise in designing Medallion architecture frameworks, data model design and deploying automated pipeline orchestrations.
- Coding Fluency: Strong operational proficiency in SQL, Python, or PySpark for reviewing code and complex system architectures.
- Familiarity with data governance and quality tooling (data catalogs, lineage tools, MDM platforms, data quality engines)
- Strong business acumen: ability to frame data platform strategy in terms of business value, quantify outcomes, and influence executive-level decisions
- Regulated Industry Experience: Prior background working in medical devices, digital health, life sciences, or a HIPAA-covered environment.
- Cloud Data Technology platform certifications: Data Engineer Professional, Lakehouse Fundamentals, or equivalent
- Experience with continuous improvement frameworks applied to data operations (MTTR reduction, SLA improvement, cost optimization)
- CDMP, DAMA, or equivalent data management certification
Benefits & conditions
MiniMed offers a competitive salary and flexible benefits package
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life. Salary ranges for U.S (excl. PR) locations (USD):$136,000.00 - $230,000.00
This position is eligible for a short-term incentive called the Short Term Incentive (STI).
At MiniMed, we are committed to supporting the well-being and financial security of our employees. Regular employees working 20 or more hours per week are eligible for a robust benefits package, including health, dental, and vision insurance, as well as access to a Health Savings Account, Healthcare Flexible Spending Account, life insurance, long-term disability leave, and a dependent daycare spending account. In addition, all regular employees enjoy incentive plans, a 401(k) plan with company match, short-term disability coverage, paid time off and holidays, participation in our Employee Stock Purchase Plan, and access to our Employee Assistance Program. Eligible employees may also benefit from our Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements. Please note that “regular employees” refers to those who are not temporary staff, such as interns, and some benefits may not apply to employees in Puerto Rico.
For further details about our comprehensive benefits, we encourage you to visit the link below.
About the company
At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You’ll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world., MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey - when and how they need it. For more than 40 years, we’ve been committed to redefining what’s possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it’s needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Highest Paying Tech Companies for Developers
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Top Big Data Technologies That You Need to Know