As a Senior Manager of Software Engineering in Optum Insight, you will lead a high-performing team of Data Scientists and Engineers driving the development of scalable analytics platforms, cloud-native solutions, and AI-enabled decision support tools. In this role, you will partner closely with Product, Engineering, Architecture, and business leaders to translate strategic objectives into modern, resilient technology delivery. You will foster an environment of continuous learning and innovation, leveraging modern engineering practices and responsible AI capabilities to streamline workflows, modernize legacy infrastructure, and deliver high-impact healthcare technology solutions.
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: - Lead, coach, and develop a high-performing team of Data Scientists and Engineers, establishing team objectives, performance expectations, and career development plans
- Foster an environment of accountability, collaboration, inclusion, and continuous learning while building organizational capability through mentoring and succession planning
- Partner with Product, Engineering, Architecture, Compliance, and business leaders to define priorities, execution plans, and delivery roadmaps
- Drive successful delivery of modernization initiatives, platform transformations, and scalable data-driven solutions while balancing 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 to address complex business challenges with an emphasis on responsible AI practices
- Use enterprise-approved AI tools to streamline software engineering workflows, automate routine operational tasks, and drive continuous process improvement
- Evaluate emerging technology trends to inform solution design, architectural strategy, and technical innovation
- Champion best practices for software engineering, data governance, security, reliability, observability, and quality across the delivery lifecycle
- Ensure appropriate governance, compliance, and human-in-the-loop oversight for automated decision-support and AI-enabled capabilities
- Build trusted partnerships across organizational boundaries, effectively communicating strategy, progress, risks, and outcomes to senior executive stakeholders
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications: - 8+ years of experience leading engineering, analytics, data science, or technology teams
- 5+ years of direct people-management experience, including performance management, coaching, and career development
- Demonstrated experience leading multidisciplinary technical teams within 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
- Proven solid written, verbal, and executive communication skills
- Hands-on experience with modern cloud platforms and distributed architecture systems
- Proven solid 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 software development lifecycle (SDLC) methodologies, Agile delivery practices, CI/CD pipelines, automated testing, and operational excellence principles
- Experience working within regulated environments and managing sensitive or protected data (e.g., HIPAA/PHI)
- Experience leveraging AI-assisted development tools to increase engineering efficiency and productivity
- Demonstrated 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
Preferred Qualifications: - 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 involving significant operational, financial, or customer-impact outcomes
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
