Lead Data Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities\:

• Agentic AI Architecture & Delivery  
  • Design and implement (multi) agentic workflows where LLMs plan, decompose tasks, invoke tools/APIs, and synthesize answers across heterogeneous data sources and services
  • Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data
  • Design, code, test, document, and maintain high quality, scalable Big Data and cloud solutions
  • Develop scalable microservices and APIs for integrating agent capabilities into clinician tools and internal apps
  • Create prototypes/POCs and conduct design/code reviews to derisk delivery and raise engineering quality
• LLMs, GenAI & Model Adaptation  
  • Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain adaptation for healthcare terminology and tasks
  • Design intelligent frameworks and finetune models for compliance, accuracy, and ethical standards
  • Establish evaluation frameworks (automatic + human in the loop) to measure faithfulness, helpfulness, bias, toxicity, privacy leakage, and overall quality
• Data & Platform Engineering  
  • Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines
  • Define and develop APIs for integrations across the enterprise; improve data access patterns for low latency inference
• Delivery, MLOps & Reliability  
  • Own MLOps/LLMOps\: CI/CD for models/prompts, automated tests (unit/contract/eval), versioning, lineage, rollback; enable blue/green or canary releases
  • Instrument SLOs/SLIs (latency, availability, hallucination/defect rate) and cost KPIs (tokens, GPU hours) with dashboards and alerts
  • Lead production deployments on internal platforms (e.g., UAIS) with solid observability, reliability, and cost controls
• Security, Privacy & Compliance  
  • Champion HIPAA and regulated industry controls; integrate access controls, PHI/PPI safeguards, data minimization, encryption, and auditability
  • Collaborate with legal, compliance, and clinical safety to operationalize Responsible AI principles
• Product, Estimation & Collaboration
  • Analyze and define customer requirements; assist in defining product technical architecture and delivery roadmaps
  • Provide effort estimates and inputs for resource planning; collaborate with QA, architecture, and peer teams
  • Write technical documentation, support production, and mentor engineers, and keep skills current through continuous learning
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities\:

• Agentic AI Architecture & Delivery  
  • Design and implement (multi) agentic workflows where LLMs plan, decompose tasks, invoke tools/APIs, and synthesize answers across heterogeneous data sources and services
  • Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data
  • Design, code, test, document, and maintain high quality, scalable Big Data and cloud solutions
  • Develop scalable microservices and APIs for integrating agent capabilities into clinician tools and internal apps
  • Create prototypes/POCs and conduct design/code reviews to derisk delivery and raise engineering quality
• LLMs, GenAI & Model Adaptation  
  • Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain adaptation for healthcare terminology and tasks
  • Design intelligent frameworks and finetune models for compliance, accuracy, and ethical standards
  • Establish evaluation frameworks (automatic + human in the loop) to measure faithfulness, helpfulness, bias, toxicity, privacy leakage, and overall quality
• Data & Platform Engineering  
  • Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines
  • Define and develop APIs for integrations across the enterprise; improve data access patterns for low latency inference
• Delivery, MLOps & Reliability  
  • Own MLOps/LLMOps\: CI/CD for models/prompts, automated tests (unit/contract/eval), versioning, lineage, rollback; enable blue/green or canary releases
  • Instrument SLOs/SLIs (latency, availability, hallucination/defect rate) and cost KPIs (tokens, GPU hours) with dashboards and alerts
  • Lead production deployments on internal platforms (e.g., UAIS) with solid observability, reliability, and cost controls
• Security, Privacy & Compliance  
  • Champion HIPAA and regulated industry controls; integrate access controls, PHI/PPI safeguards, data minimization, encryption, and auditability
  • Collaborate with legal, compliance, and clinical safety to operationalize Responsible AI principles
• Product, Estimation & Collaboration
  • Analyze and define customer requirements; assist in defining product technical architecture and delivery roadmaps
  • Provide effort estimates and inputs for resource planning; collaborate with QA, architecture, and peer teams
  • Write technical documentation, support production, and mentor engineers, and keep skills current through continuous learning
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications\:

• Bachelor’s in Engineering, Computer Science, IT, or related fields.  
• 10+ years of total technology experience
• 8+ years hands on software development/data engineering/analytics with solid AI/ML delivery (Azure preferred) with Scala, Python, PySpark.  
• 4+ years hands on with Databricks.  
• 4+ years with ADF/Airflow (orchestration/scaling).  
• 4+ years with big data & streaming (Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes.  
• 4+ years with MySQL and NoSQL databases.  
• 4+ years with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; solid coding standards and code reviews.  
• 2+ years with LLMs & GenAI (Langchain, LangGraph, RAG, Vector DB, Azure Open AI, MCP Server, Agents, LangFuse).  
• 2+ years of experience with container (Docker/Kubernetes) 
• 1+ years with Proficiency building services or full stack apps (e.g., FastAPI/Flask, Node.js, React/Angular, TypeScript, HTML/CSS)
  Preferred Qualifications\:

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

#nic

Required Qualifications\:

• Bachelor’s in Engineering, Computer Science, IT, or related fields.  
• 10+ years of total technology experience
• 8+ years hands on software development/data engineering/analytics with solid AI/ML delivery (Azure preferred) with Scala, Python, PySpark.  
• 4+ years hands on with Databricks.  
• 4+ years with ADF/Airflow (orchestration/scaling).  
• 4+ years with big data & streaming (Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes.  
• 4+ years with MySQL and NoSQL databases.  
• 4+ years with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; solid coding standards and code reviews.  
• 2+ years with LLMs & GenAI (Langchain, LangGraph, RAG, Vector DB, Azure Open AI, MCP Server, Agents, LangFuse).  
• 2+ years of experience with container (Docker/Kubernetes) 
• 1+ years with Proficiency building services or full stack apps (e.g., FastAPI/Flask, Node.js, React/Angular, TypeScript, HTML/CSS)
  Preferred Qualifications\:

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

#nic