Senior Manager Software Engineering - Remote

UnitedHealth Group•Minnetonka, MN

7d•$112,700 - $193,200•Remote

About The Position

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. 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.

Requirements

8+ years of software engineering experience in leading complex technology implementations, including full SDLC delivery, system implementation, governance, scope, schedule, budget, quality, risk management, testing, deployment, and 24x7 production support activities
8+ years of experience in leading Full Stack technology teams including Java, Spring Boot, ETL, Microservices, Legacy technologies
8+ years of experience to independently lead large, multi-stakeholder projects, influence stakeholders, and coordinate executive leaders, vendors, business teams, and technical teams in ambiguous environments
Proficiency with project and service management and reporting tools (Microsoft Project, ServiceNow, SharePoint, Office 365)
Demonstrated solid persuasion and negotiation skills, including conflict resolution skills
Solid background in Agile (Scrum, SAFe) and DevOps practices
Demonstrated ability to lead complex transformations with business and technical alignment

Nice To Haves

Certifications such as Certified ScrumMaster or PMI-ACP, ITIL, or related delivery, change management, or service management credentials
(PMP) Project Management Professional certification
Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Demonstrated ability to manage competing priorities, resolve conflicts, escalate issues appropriately, and drive decisions in a complex delivery environment
Proven track record of identifying and managing risks proactively, with demonstrated success in delivering initiatives on time and within scope
Proven ability to translate business needs, requirements, initiatives and operational priorities into actionable project plans and delivery activities
Proven solid written and verbal communication skills, including the ability to prepare executive-level status reports, decision materials, risk summaries, and stakeholder communications

Responsibilities

Lead end-to-end delivery including Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
Able to manage multiple engineering and cross-functional teams across large-scale transformation and modernization programs
Lead complex enterprise-wide transformation initiatives including re-engineering, automation, and modernization
Accountable for high-quality software deliverables and operational excellence leveraging AI Ops to maintain high stability and reliability of applications
Champion automation-first mindset, AI-driven solutions, leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
Develop, manage, and maintain integrated project plans, schedules, milestones, dependencies, deliverables, resource plans, and implementation roadmaps
Oversee requirements definition, business process design, solution configuration, testing, data conversion, training, operational readiness, and implementation activities
Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
Lead technical teams to support interface planning, data integration, reporting, system testing, defect resolution, production readiness, deployment and 24x7 production support
Monitor vendor performance, deliverable quality, contractual obligations, service levels, and corrective actions as needed
Mentor project team members, promote accountability, and foster a collaborative delivery culture focused on transparency, quality, and continuous improvement with AI in loop