Lead Data Analyst

Posted 2 Hours Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads the design and delivery of agentic AI, LLM, RAG, and GenAI solutions for healthcare data. Builds scalable cloud, big data, microservices, API, MLOps, and LLMOps platforms using Databricks and Azure. Establishes model evaluation, observability, security, HIPAA compliance, and responsible AI controls. Partners on architecture, product roadmaps, estimates, deployments, documentation, production support, and engineering mentorship.
Summary Generated by Built In
Requisition Number: 2389400
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

Skills Required

  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field
  • 10+ years of total technology experience
  • 8+ years of hands-on software development, data engineering, or analytics experience with AI/ML delivery
  • Experience with Scala, Python, and PySpark
  • 4+ years of Databricks experience
  • 4+ years of Azure Data Factory or Airflow experience
  • 4+ years of big data and streaming technologies, including Hadoop, MapReduce/HDFS, Spark, and Kafka
  • Experience with Docker and Kubernetes
  • 4+ years of MySQL and NoSQL database experience
  • 4+ years of Agile/Scrum, GitHub, Jenkins CI/CD, and JUnit experience
  • 2+ years of LLM and Generative AI experience, including LangChain, LangGraph, RAG, vector databases, Azure OpenAI, MCP Server, agents, or LangFuse
  • At least 1 year of experience building services or full-stack applications using technologies such as FastAPI, Flask, Node.js, React, Angular, TypeScript, HTML, or CSS

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
  • Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
  • Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.

Optum Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

Gallery

Gallery
Gallery
Gallery

Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
Learn more

Similar Jobs

Optum Logo Optum

Senior Software Engineering Lead - OIC, HCM , APIs

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Deputy Manager - Quality

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Manager AI/ML Engineering - GenAI, RAG and MLops

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Optum Logo Optum

Senior Software Engineering Lead

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Hyderabad, Telangana, IND
160000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account