Director Data Engineering - Remote

Optum is a global health care innovation company developing solutions in data analytics, artificial intelligence, and cybersecurity. The Director of Data Engineering will lead cloud-based data engineering delivery for UHC HEDIS Retrospective data processing, manage data engineering teams and subject matter experts, drive AI adoption, and collaborate with stakeholders to deliver scalable and compliant solutions.

Responsibilities:

• Operations & Maintenance delivery lead for all UHC LOB HEDIS Retrospective data processing responsible for delivering Cloud based data engineering solutions along with driving AI implementations
• Lead a large team of data engineers and SMEs with different skill levels in functional and technical roles
• Manage communications with business stakeholders and auditors on functional logic and issue tracking
• Collaborate effectively with product, cross-functional enhancement, and source teams to identify, manage, and resolve dependencies that ensure seamless delivery
• Drive timely resolution by escalating as needed and convening the right stakeholders
• Engage in high-stakes conversations, navigating difficult discussions with professionalism and clarity
• Demonstrate solid leadership presence to guide discussions, challenge assumptions, and drive accountability
• Ask insightful, forward-looking questions to uncover functional and technical risks, gaps, and opportunities
• Remove barriers to execution by facilitating decisions and navigating organizational complexity
• Stay up to date on Quality measures, NCQA changes and impact to the technical solutions and business outcomes
• Evaluate emerging trends to inform solution design and strategic innovation

Requirements:

• • Undergraduate degree or equivalent experience
• • 8+ years of experience in the health insurance industry with core expertise in HEDIS, serving as a subject matter expert
• • 8+ years of experience using Onprem/Cloud based SQL databases in a research, consulting, or business environment
• • 5+ years of experience and understanding of HEDIS concepts and understanding of the engines in the market, expertise in HEDIS measures and HEDIS data domains (Member, Eligibility, Medical, Rx, Clinical data), including Medicare, Medicaid, and Commercial LOB nuances
• • 5+ years of experience managing personnel, including leading, coaching, and mentoring data SMEs
• • 5+ years of Agile/Kanban based delivery experience, engineering best practices including unit testing, test-driven development (TDD), continuous Integration/continuous delivery (CI/CD), pair programming, automated testing, and code reviews
• • Proven excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients
• • Experience communicating technical and methodological nuances to a non-technical audience
• • Demonstrated ability to translate analytical results into meaningful insights that inform decision-making
• • Proven problem-solving and critical thinking skills
• • Proven ability to interact collaboratively with internal business partners across multiple departments and business segments
• • Proven self-starter who can operate well in a changing and sometimes ambiguous environment
• • Exposure to incorporating GenAI and Agentic AI into technical workflows and Cloud environments/Databases
• • Experience in FHIR standards and Clinical data
• • Solid experience incorporating GenAI and Agentic AI into technical workflows