Sr Manager, Data Engineering

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - Sr Manager, Data Engineering (2391203)

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Define and drive the enterprise data warehouse strategy for healthcare data (claims, EMR/EHR, pharmacy, lab, provider, payer)
• Lead design of modern data platforms:
  • Cloud DW (Databricks, Azure Synapse, Redshift, Big Query)
  • Data lakes / lakehouse architectures
  • Establish scalable data models (star/snowflake schemas, dimensional modeling for healthcare use cases)
  • Drive adoption of FHIR, HL7, and other healthcare data standards
• Oversee ingestion and integration of diverse healthcare datasets:
  • Claims & billing systems
  • EHR/EMR platforms (Epic, Cerner)
  • Pharmacy (PBM), lab, clinical data sources
• Ensure interoperability compliance using:
  • HL7, FHIR APIs
  • CCD/C-CDA formats
• Lead enterprise ETL/ELT pipelines and real-time data streaming implementations
• Partner with data science teams to support:
  • Predictive modeling (readmission risk, fraud detection)
  • AI/ML healthcare use cases
• Ensure strict adherence to healthcare regulations:
  • HIPAA compliance (PHI protection)
  • CMS reporting requirements
  • HITECH Act guidelines
• Data quality rules
• Establish audit controls and security protocols
• Lead teams of:
  • Data engineers
  • Data analysts and platform engineers
• Mentor teams on healthcare data domain knowledge and best practices
• Data Quality & Master Data Management
• Drive initiatives to ensure high data accuracy and consistency across systems
• Implement data quality monitoring frameworks
• Oversee:
  • Patient identity management
  • Provider & member master data
  • Reduce duplication and improve golden record creation

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Engineering or related field, or equivalent experience
• 10+ years in IT, with solid focus on:
  Data warehousing, Analytics platforms, Enterprise business systems
• 5+ years in leadership roles managing teams and large programs
• Proven experience in healthcare domain:
  Payer, provider, or life sciences environments
• Hands-on experience with large-scale DW modernization or cloud migrations
• Hands-on experience with managing multi-million-dollar programs and cross-functional teams
• Understanding of claims, billing, and reimbursement processes
• Understanding of clinical workflows and EHR/EMR systems (Epic, Cerner)
• Knowledge of healthcare data standards: HL7, FHIR, CCD/C-CDA
• Expertise in ETL/ELT tools (Informatica, Talend, ADF, dbt)
• Expertise in workflow orchestration (Airflow, etc.)
• Experience with APIs and real-time streaming (Kafka, event-driven systems)
• Solid experience in Azure, AWS, or GCP ecosystems
• Knowledge of Databricks / Spark-based processing
• Knowledge of data pipeline scalability & performance tuning
• Experience with:
  Power BI, Tableau, or similar tools
• Ability to support Advanced…