CIO, Optum Care at Home

Primary Responsibilities

• Enterprise Technology Leadership - Serve as the single accountable executive across Senior Community Care and Care at Home; own end to end technology strategy, execution, and outcomes aligned to sustained growth
• Workforce & Globalization Transformation - Drive workforce and operating model transformation toward a sustainable onshore/offshore delivery mix (target 40% onshore / 60% offshore), balancing cost efficiency with quality, regulatory compliance, and care delivery requirements
• Governance, Accountability & Execution Discipline - Enforce standards and decision rights; lead cloud adoption with accountability for cost, performance, and reliability; provide transparent, executive level reporting on platform health, value, and transformation progress
• Growth Strategy - Lead technology-enabled growth across Optum Care at Home, including UnitedHealthcare and external client expansion, ensuring platforms scale to support new markets and revenue streams
• Regulatory Oversight - Ensure all platforms meet HIPAA, PHI, and healthcare regulatory requirements; own compliance accountability while enabling rapid innovation and clinical enablement
• AI-Native Care Delivery - Embed AI across care delivery to drive measurable clinical, operational, and financial outcomes
• Modernize and unify the technology ecosystem to enable scalable, efficient, and connected care delivery

Required Qualifications

• 15+ years of experience in technology leadership roles, including involvement in architecture and/or data engineering
• Significant experience working on Care Delivery Platforms or large-scale EHR consolidation efforts
• 10+ years of experience leading and managing large, complex technology organizations, including strategic planning and budget management
• 5+ years of experience with cloud-native Cloud architectures and ecosystems (e.g., AWS, Azure, Google Cloud)
• Proven track record of driving large-scale digital transformations and implementing enterprise-level data integration solutions
• Demonstrated experience in leading organizational change and successfully adopting emerging technologies at scale

Preferred Qualifications

• Advanced degree in Computer Science, Data Engineering, or a related technical field
• Experience building and scaling the data foundations required for generative AI, large language models (LLMs), or advanced predictive modeling
• Deep expertise in modern practices, including SRE, DataOps, MLOps, and automated data quality frameworks
• Proven executive presence with the ability to influence C-suite stakeholders and align technology strategy with broad business objectives