Leads the design, development, deployment, and monitoring of scalable AI/ML solutions. Oversees data preparation, feature engineering, model development, optimization, production pipelines, drift analysis, observability, and multi-cloud ML infrastructure. Collaborates with engineering, product, data science, and UX teams on technical architecture and governance. Mentors data scientists and ML engineers while ensuring explainability, responsible AI, reliability, and cost effectiveness.
Requisition Number: 2388347
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:
Required Qualifications:
Preferred Qualification:
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.
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:
- Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
- Oversee end-to-end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
- Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
- Build and maintain production-grade ML pipelines with orchestration and experiment-tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
- Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
- Design and support scalable, multi-cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
- Collaborate with data engineering teams to integrate real-time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
- Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
- Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance
- Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud-native ML deployment
- 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 or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 12+ years of experience in Data Science, AI/ML, or a similar role, with 2+ years in leadership roles
- Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
- Hands-on experience in delivering production-grade AI/ML projects
- Solid programming skills in Python, with experience in pandas, numpy, and SQL
- Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
- Solid understanding of mathematical and statistical concepts
- Proven excellent problem-solving and analytical thinking skills
- Solid communication and collaboration skills to work effectively in a team environment
Preferred Qualification:
- Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
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.
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