Shape the Future of National Healthcare Policy and Value-Based Payment Models

Are you a visionary healthcare data leader who can translate massive claims datasets into transformative federal health policy? OptumInsight Consulting, in partnership with The Lewin Group, is seeking a dynamic, goal-oriented Director of Data Analytics to lead high-stakes quantitative analysis and modernisation initiatives for health and human services programs.

With a premier 50-year legacy of solving the public sector’s most intricate challenges, The Lewin Group / OptumServe Consulting delivers data-driven clarity to federal, non-profit, and private organisations. In this executive-track advisory role, you will lead advanced analytics teams executing econometrics, predictive modelling, and return-on-investment (ROI) analysis to inform the design, deployment, and evaluation of Medicare and Medicaid payment models.

Location & Schedule

• Work Structure:

  • 100% Remote Opportunity: Work from anywhere within the United States adhering to UnitedHealth Group’s Telecommuter Policy.

  • Hub Requirement: Candidates residing in the Washington, D.C. or Minneapolis metropolitan areas are required to work on-site a minimum of 4 days per week.

• Schedule: Monday – Friday, daylight business hours adjusted to your local time zone.

The Role: Director, Data Analytics

As a Director, you will sit at the intersection of client strategy, technical code governance, and artificial intelligence orchestration.

Key Responsibilities:

• Policy & Payment Model Engineering: Independently perform and supervise complex quantitative analysis to inform the lifecycle of Medicare and Medicaid value-based payment models.

• Strategic Client Advisory: Serve as the core subject matter expert (SME) to public and federal stakeholders, building trusted relationships and presenting analytical findings to shape public health guidelines.

• High-Velocity Database Querying: Oversee the efficient extraction, transformation, and structural manipulation of large-scale healthcare claims, eligibility registers, and enrollment data.

• Advanced Methodological Application: Deploy machine learning, econometric time-series models, simulation, and sophisticated data visualisations to forecast healthcare expenditures and assess model quality metrics.

• Personnel & Technical Governance: Mentor and manage technical staff, ensuring strict adherence to code quality control procedures, comprehensive versioning, and detailed documentation.

• AI Workflow Transformation: Act as the strategic catalyst helping to oversee and drive the intentional adoption of Artificial Intelligence (AI) and automated workflows into daily technical analytics.

Technical Architecture & Prerequisites

We are seeking an established data executive with an authoritative command of federal health policy mechanisms and modern cloud data environments.

Required Qualifications:

• Experience: 8+ years of dedicated experience using analytics programming languages (SQL, Python, R, or SAS) within a research, consulting, or corporate environment.

• Federal Policy Depth: 6+ years of specialised experience working on federal health policy issues, acting as an established SME in Medicare and Medicaid value-based payment models.

• Data Domain Expertise: Advanced, hands-on understanding of healthcare claims data structures, enrollment data files, claim types, and institutional payment concepts.

• Modern Cloud Infrastructure: Proven experience managing and working directly with engineering teams operating inside Snowflake and/or Databricks environments.

• Leadership Track: Verifiable professional experience directly managing technical personnel and advising external clients.

• AI Integration: Practical experience incorporating AI systems or LLM tools into technical development workflows.

Preferred Qualifications (Bonus Points):

• Advanced academic coursework in econometric modelling, advanced statistics, or quantitative biostatistics.

• Proven track record supporting multi-year federal payment model implementation contracts (e.g., CMS, HHS).

• Deep experience interacting with complex, massive federal data environments like the Integrated Data Repository (IDR) or the Chronic Conditions Warehouse (CCW).

• Active experience governing source control using GitHub.

Compensation, Perks & Benefits

• Annual Salary Range: $134,600 to $230,800 per year (Base compensation tailored to local labor markets, experience, and specialized certifications).

• Total Rewards Package: Comprehensive healthcare benefits, robust incentive and performance-recognition programs, employee equity stock purchase programs, and matching 401(k) contributions.