Principal Data Analyst and AI Liaison

What UnitedHealthcare offers: a comprehensive benefits package, incentive and recognition programs, equity stock purchase opportunities, and 401k contributions.

In this role you will bridge healthcare operations, large-scale data analytics, and applied AI to translate extensive healthcare data into actionable insights while upholding responsible AI practices aligned with clinical, regulatory, and business needs.

Responsibilities

• Examine large healthcare data spanning clinical, claims, operational, financial, and population health domains to identify trends, inefficiencies, and opportunities for improvement.
• Design dashboards, reports, and data models that advance clinical quality, patient outcomes, cost optimization, and operational efficiency.
• Ensure data accuracy, integrity, normalization, and governance across systems.
• Collaborate with clinical and operational leaders to translate business questions into analytic approaches.
• Serve as the primary bridge between business and clinical stakeholders and AI/ML teams or vendors.
• Assess, pilot, and support deployment of AI tools including predictive analytics, NLP, computer vision, automation, and large language models.
• Translate healthcare workflows and requirements into AI ready use cases.
• Validate AI outputs for clinical relevance, bias, explainability, and regulatory compliance.
• Support responsible AI practices through documentation, monitoring, and human in the loop controls.
• Identify target patient and provider populations and moments of influence.
• Define outcomes and success metrics and set targets with clinical program leaders.
• Continuously monitor clinical programs and pilots, refining targets as needed.
• Conduct retrospective program evaluations using advanced econometric techniques.
• Create reports and data visualizations to share insights with stakeholders.
• Document methodologies for opportunity analysis and impact evaluation to enable rapid scaling across services, care paths, diagnosis groups, and lines of business such as Medicare Advantage, commercial, and Medicaid.
• Support the use of data from EHR, claims, device data, and third party sources.

Requirements

• Minimum five years of experience in healthcare data analysis, analytics, or health tech roles.
• At least five years of SQL programming experience.
• Three or more years of SAS programming experience.
• Demonstrated expertise working with large scale claims and healthcare datasets.
• Solid understanding of health plan economics and performance levers.

Technologies

• SQL
• SAS
• NLP
• Computer vision
• Large language models

Preferred qualifications

• Advanced experience querying and integrating large disparate data sources using SAS.
• Experience supporting or implementing AI/ML solutions in healthcare.
• Translational mindset capable of turning data and AI into real world outcomes.
• Experience with population health, value based care, or clinical quality analytics.
• Familiarity with healthcare regulations such as HIPAA, AI governance, and data privacy.
• Ability to balance innovation with clinical risk and regulatory constraints.
• Ability to collaborate across clinical, technical, and business teams.
• Strong analytical thinking and problem solving abilities.
• Excellent communication and stakeholder management skills.