VP of Engineering - Optum Insight Payer Market

VP Of Engineering For Optum Insight Payer Market

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

As VP of Engineering for the Optum Insight Payer Market, you will serve as the senior-most technology leader for one of Optum Insight's largest businesses - spanning payment integrity, risk and quality, claims administration and payer operations technology serving the nation's leading health plans, including United Healthcare and external payer clients. Reporting to the CIO for Optum Insight Payer Market, you will own technology vision, strategy, architecture and engineering execution for a global, matrixed organization of several hundred engineers and a substantial technology P&L.

You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Drive technology vision and strategy behind consistent delivery and execution; translate business strategy into a multi-year technology roadmap with clear right-to-win logic, sequencing and ROI validation
• Lead the architecture practice across cloud, security, data and platform architecture, ensuring alignment to PADU, platform-thinking, data federation and interoperability standards (FHIR, X12, EDI)
• Rationalize and consolidate the platform landscape: converge overlapping agentic and automation platforms onto one to two strategic AI chassis, eliminate duplicate builds, and make decisive build-vs.
  
  -buy calls at the foundry/platform layer
• Enable both efficient federated delivery and creation of reusable accelerators, with a single source of truth for portfolio and intake to prevent parallel, redundant investment
• Partner closely with product and business stakeholders to identify use cases, derive CBAs, and manage program status and value reporting against committed financial baselines
• Lead both centralized and federated delivery of AI use cases, focused on business value extraction - spanning claims, payment integrity, risk and quality, and payer operations
• Define and institutionalize an AI-native SDLC: methodology selection, team composition, role evolution, productivity KPIs and tooling-by-role; scale forward-deployed engineering and digital workforce capability across the portfolio
• Operationalize AI capabilities with focus on reliability, evaluation, problem detection and mitigation; establish model observability and human-in-the-loop standards appropriate for regulated healthcare workflows
• Establish AI cost governance: consumption budgeting, audit trails, usage attribution, and power-user enablement across model and platform vendors
• Champion security initiatives in close partnership with BISO, ESRO and EIS teams, including agentic-AI governance, PHI/PII protection and HIPAA/HITRUST compliance
• Drive PLM and vulnerability management; own technology SLOs with a regular security posture cadence and clear risk-acceptance criteria
• Ensure engineering focus on secure, repeatable execution through consistent standards and best practices
• Set development standards, hygiene and AI-supported execution; evangelize modern development, testing and Dev Sec Ops  practices
• Raise the operations bar: automation-first observability with statistical anomaly detection, elimination of manual batch monitoring, and daily cost-out discipline; favor eliminating broken processes over automating them
• Lead organizational transformation with focus on solid engineering standards and talent; drive continuous talent transformation through learning, assessments and role redesign for the AI era
• Rationalize the open-requisition portfolio against realistic capacity; partner…