Lead Technical Product Manager - Remote

UnitedHealth Group•Minneapolis, MN

1d•$112,700 - $193,200•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Lead Technical Product Manager, AI Transformation, is responsible for partnering with Corporate Security and Real Estate business partners to define and execute the AI product strategy, roadmap, and technology delivery. This role serves as the bridge between business leaders, technology teams, data scientists, engineers, and operational stakeholders to identify, prioritize, and scale AI-powered solutions that improve safety, operational efficiency, employee experience, workplace operations, and decision-making. The successful candidate will lead the transformation from traditional technology delivery models to AI-enabled business capabilities, leveraging Generative AI, agentic workflows, automation, predictive analytics, and intelligent decision-support systems. This leader will drive measurable business outcomes through AI adoption while ensuring alignment with enterprise governance, security, compliance, and Responsible AI standards.

Requirements

3+ years of experience in Technical Product Management, Product Strategy, or Technology Leadership
3+ years of experience managing enterprise-scale technology products and multi-year product roadmaps
3+ years of experience working with Generative AI, Machine Learning, agentic workflows, automation platforms, or data-driven product management
3+ years of experience influencing senior executive leaders and driving large-scale organizational change
Demonstrated ability to translate complex business problems into scalable technical solutions

Nice To Haves

Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field (or equivalent practical experience)
2+ years of people management experience, including responsibility for leading, coaching, developing, and managing performance
Experience in Corporate Security, Physical Security Technology, Real Estate Technology, Workplace Experience, Facility Management, or Enterprise Operations
Experience with platforms such as Azure AI, OpenAI, Microsoft Copilot, Power Platform, analytics platforms, or enterprise workflow automation tools
Professional certifications in AI product management or formal background in Responsible AI and AI governance frameworks

Responsibilities

Define and maintain a multi-year AI transformation roadmap across Corporate Security and Real Estate technology domains
Identify high-value business opportunities where AI can improve operational effectiveness, reduce costs, mitigate risks, and enhance employee workplace experience
Establish AI product vision, objectives and key results (OKRs), and success metrics aligned to measurable business outcomes
Own the AI product portfolio from ideation through deployment and value realization, managing product backlogs and prioritizing initiatives based on business impact, feasibility, and scalability
Translate business challenges into AI use cases, epics, features, user stories, and actionable implementation plans
Partner with engineering, data science, and technical teams to deliver AI-enabled products and services using Agile methodologies
Lead discovery sessions and workshops with stakeholders to identify opportunities for automation, predictive insights, intelligent workflows, and digital transformation
Ensure AI solutions comply with enterprise security, privacy, compliance, and Responsible AI standards in collaboration with legal, risk, and architecture teams
Drive organizational adoption of AI capabilities through structured change management, executive communication, and stakeholder enablement