Sr Manager, Data Engineering

We need to output HTML fragment with sections only if content present. Use

for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title. We must not include Job ID etc. Remove boilerplate. Preserve all substantive info. We need to parse the posting. Key sections: - About the role: introductory paragraph about Optum Tech, mission, remote flexibility, office requirement for Minneapolis or DC area. That's substantive. - Responsibilities: list of primary responsibilities (bulleted). We'll put under

Responsibilities

with

• ... each. - Requirements: maybe "Required Qualifications" includes qualifications. Could be split into Requirements and Qualifications? The instruction: use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what goes where. Typically "Required Qualifications" could be under Qualifications. "Required Qualifications" list includes degree, years experience, leadership, healthcare domain, etc. That's qualifications. Could also have Requirements (maybe same). But we should not create thin sections. We can combine? However we need to follow instruction: include a section ONLY when posting has real, specific content for it. So we need to decide which headings have content. We have content for About the role, Responsibilities, Qualifications (Required Qualifications), Skills (maybe some skills listed like expertise in ETL/ELT tools, workflow orchestration, APIs, cloud, etc.), Benefits (mention comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution), Pay (salary range $112,700 to $193,200 annually), Schedule (maybe remote flexibility and office requirement: "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." That's schedule info). Also maybe "All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy." That's also schedule/remote policy. Thus we can have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule. We might not need Requirements separate if covered by Qualifications. But we could also put Requirements as a separate section with similar content; but that would duplicate. Better to follow instruction: Prefer a few substantive sections over many thin ones. So we can combine qualifications and skills? But they have distinct headings. We could put qualifications under "Qualifications" and skills under "Skills". That seems fine. Now we need to extract content. About the role: first paragraph(s) up to "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." Actually that part is schedule; but we could keep it in About the role? The instruction: we should not repeat job title. We can include that as part of About the role or Schedule. Since schedule is a separate heading, we might move that sentence to Schedule. But About the role can still contain the mission description. Let's craft About the role: "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." That's substantive. Now Responsibilities: list bullet points from "Primary Responsibilities" section. We need to capture each bullet. Let's extract: - 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 We need to format as
  • items. Some bullets have sub-bullets; we can either flatten or nest
    . The instruction didn't forbid nesting; we can use nested lists for clarity. Use
    • ... then inner
      for subpoints. Now Qualifications: from "Required Qualifications". List: - 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 Also "All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy." That's more schedule/policy; we could put under Schedule. Now Skills: maybe we can extract skills from qualifications that are more skill-oriented: expertise in ETL/ELT tools, workflow orchestration, APIs, real-time streaming, cloud ecosystems, Databricks/Spark, data pipeline scalability, Power BI/Tableau, ability to support advanced analytics/ML, business acumen, ROI focus, building business cases, aligning data strategy. But many of those already in qualifications. To avoid duplication, we could treat Qualifications as the list and Skills maybe empty; but we need a section only if content. Could we put skills as a separate section highlighting technical skills? Might be redundant but still substantive. However instruction: prefer few substantive sections over many thin ones. If we split qualifications and skills, we might have two thin sections. Better to combine them into Qualifications and maybe not have Skills. But we need to follow the allowed headings; we can omit Skills if no distinct content. However we have skill-specific content like "Expertise in ETL/ELT tools (Informatica, Talend, ADF, dbt)" etc. That could be considered qualifications. So we can omit Skills. Benefits: "In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives." We'll put that. Pay: "The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable." Schedule: remote flexibility and office requirement: "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. All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy." Now we need to output HTML fragment only, no /, no markdown fences. We'll produce:

      About the role

      ...

      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