Senior Manager, Software Engineering - Remote
About The Position
Optum Insight is improving the flow of health data and information to create a more connected healthcare system. The Senior Manager of Software Engineering will lead a high-performing team of Data Scientists and Engineers developing scalable analytics platforms, cloud-native solutions, and AI-enabled decision-support tools. The role partners with Product, Engineering, Architecture, Compliance, and business leaders to translate strategic objectives into resilient technology delivery. It fosters continuous learning and innovation, applies modern engineering practices and responsible AI, and supports workflow improvements, legacy modernization, and high-impact healthcare technology solutions. The position is remote for most U.S. locations. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The salary range is $112,700–$193,200 annually for full-time employment. Benefits include a comprehensive benefits package, incentive and recognition programs, an equity stock purchase plan, and a 401(k) contribution, subject to eligibility requirements.
Requirements
- At least 8 years of experience leading engineering, analytics, data science, or technology teams.
- At least 5 years of direct people-management experience, including performance management, coaching, and career development.
- Demonstrated experience leading multidisciplinary technical teams in complex enterprise environments.
- Proven success delivering large-scale technology, analytics platforms, or system modernization initiatives.
- Experience partnering with Product management, business stakeholders, and senior leadership to drive strategic outcomes.
- Strong written, verbal, and executive communication skills.
- Hands-on experience with modern cloud platforms and distributed architecture systems.
- Strong knowledge of data architecture, analytics platforms, data lifecycle management, and ETL/ELT processes.
- Proficiency with SQL, Python, data modeling, and large-scale data processing technologies.
- Experience with SDLC methodologies, Agile delivery practices, CI/CD pipelines, automated testing, and operational excellence principles.
- Experience working in regulated environments and managing sensitive or protected data, such as HIPAA/PHI.
- Experience leveraging AI-assisted development tools to increase engineering efficiency and productivity.
- Understanding of Generative AI technologies, large language models, prompt engineering, and agentic workflows.
- Experience applying human-in-the-loop controls, responsible AI principles, and governance practices.
- Ability to evaluate, implement, and scale AI-enabled solutions that deliver measurable business value.
Nice To Haves
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical discipline.
- Experience leading Data Science, Analytics Engineering, Machine Learning, or Data Platform organizations.
- Experience supporting healthcare, financial services, insurance, or other highly regulated enterprise industries.
- Experience modernizing legacy healthcare systems and migrating workloads to cloud-native architectures.
- Experience supporting enterprise transformation initiatives with significant operational, financial, or customer-impact outcomes.
Responsibilities
- Lead, coach, and develop a team of Data Scientists and Engineers; set team objectives and performance expectations and establish career development plans.
- Build accountability, collaboration, inclusion, and continuous learning through mentoring and succession planning.
- Partner with Product, Engineering, Architecture, Compliance, and business leaders to define priorities, execution plans, and delivery roadmaps.
- Deliver modernization initiatives, platform transformations, and scalable data-driven solutions while managing technical debt and platform sustainability.
- Guide the development of scalable analytics platforms, data services, and cloud-native software architecture.
- Design, develop, and deploy AI-powered solutions for complex business challenges, emphasizing responsible AI practices.
- Use enterprise-approved AI tools to streamline software engineering workflows, automate routine operational tasks, and improve processes continuously.
- Evaluate emerging technology trends to inform solution design, architectural strategy, and technical innovation.
- Champion software engineering, data governance, security, reliability, observability, and quality best practices across the delivery lifecycle.
- Ensure governance, compliance, and human-in-the-loop oversight for automated decision-support and AI-enabled capabilities.
- Build partnerships across organizational boundaries and communicate strategy, progress, risks, and outcomes to senior executive stakeholders.
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase plan
- 401(k) contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
