Sr Manager, Data Engineering

Optum Tech develops healthcare technology solutions using data analytics, artificial intelligence, and cybersecurity to improve health outcomes and the healthcare system. The Sr Manager, Data Engineering will define and drive enterprise healthcare data warehouse strategy, lead modern data platform and integration initiatives, ensure regulatory compliance and data governance, and manage teams responsible for data engineering, analytics, and platform engineering.

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, BigQuery)
• 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
• Implement data governance frameworks:
• Data lineage
• Data quality rules
• Master data management (MDM)
• 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

Requirements:

• 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 analytics / ML use cases
• Solid business acumen with ability to translate business needs into technology solutions
• Ability to drive ROI-focused data initiatives
• Experience building Business cases for data platform investments
• Ability to align data strategy with organizational goals