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.
As a Principal Technology Product Manager, AI Enablement & AI Products , you will own the strategy, roadmap, and delivery of the AI products and enablement capabilities that our engineering, product, and operations teams build on. You will define what 'AI-ready' means for the organization the platforms, patterns, guardrails, tooling, and adoption model and then ship the products that make it real. This role sits at the intersection of business strategy, customer experience, data, and engineering, and is critical to translating customer and market insights into high impact, scalable products.
You will operate as senior individual product leader for AI in the portfolio: setting direction, influencing across business and technology leadership, and raising the bar for AI product craft across teams.
Primary Responsibilities:
•AI Product Strategy & Enablement - Define and own the multi-year vision, value proposition, and roadmap for AI enablement shared platforms, model and agent services, evaluation frameworks, reusable patterns, and developer-facing tooling
•Build the AI capability adoption strategy to identify the highest-value use cases across the portfolio, sequence them, and drive teams from experiment to production
•Partner with product managers, business stakeholders, and customers to capture Voice of Customer and translate insights into product capabilities and jobs to be done
•Ensure all features and initiatives are clearly tied to OKRs and business outcomes, with explicit measures for AI value with quality, latency, cost per outcome, and adoption
•Establish the 'build vs. buy vs. partner' point of view for AI platforms, models, and vendors, and defend it with business cases
•AI Product Execution & Delivery - Lead enterprise technology, data, analytics, automation, and AI-enabled initiatives from strategy through delivery
•Decompose high level capabilities into features, epics, and user stories that are clear, actionable, and measurable, and partner closely with engineering to define requirements and acceptance criteria
•Oversee prioritization and trade off decisions, balancing customer experience, business requirements, technical constraints, performance, and operational needs
•Own the full AI product lifecycle including data readiness, prompt and model iteration, offline and online evaluation, human-in-the-loop design, release, monitoring, and drift management
•Manage program financials, business cases, forecasting, vendor relationships, and executive reporting
•Responsible AI & Governance - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
•Partner with technology and governance teams to ensure solutions meet security, compliance, and operational standards, including model risk review, PHI/PII handling, auditability, and regulatory expectations for health care
•Codify responsible-AI guardrails into the platform itself so teams inherit compliance by default rather than re-solving it per product
•Technical & Domain Depth - Maintain a solid understanding of end to end solutions, including system integrations and data flows, and understand feature impacts and dependencies across platforms and portfolios
•Work with data scientists and ML/AI engineers on model selection, retrieval and grounding approaches, agentic patterns, evaluation methodology, and inference cost management
•Demonstrate working knowledge of modern product and delivery tools such as Aha, Rally, GitHub, and DevOps practices
•Stakeholder Leadership & Influence - Serve as a credible and trusted partner to senior business and technology leaders and speak fluently to both technical and non technical audiences across teams and levels
•Lead complex, cross functional discussions and drive alignment through fact based, customer centric decision making, anticipating stakeholder needs by preparing options, trade offs, and recommendations in advance
•Lead organizational change management and technology adoption efforts to maximize business value
•Talent & Product Craft - Provide situational coaching and support to other product managers and product teams, and mentor teams on AI product patterns, evaluation rigor, and outcome measurement
•Actively attract, assess, and hire top product talent using a calibrated bar for excellence
•Foster a culture of transparency, growth mindset, and continuous learning
•Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
•Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Healthcare Administration, or a related field
•10+ years of experience in Product Management, with significant experience in technical or platform products
•5+ years managing large-scale technology, digital products, platform modernization, analytics, or AI-enabled programs
•3+ years as a product owner/manager for AI, machine learning, or data science products taken to production - not solely pilots or proofs of concept
•3+ years partnering directly with engineering, architecture, data, and AI/ML teams to deliver technology solutions
•Experience with Agile delivery models and product management tooling (Nimble, Aha, Rally, GitHub, etc.)
•3+ years of experience managing budgets, resource planning, forecasting, vendor relationships, and executive communications
•Demonstrated ability to manage complex product portfolios and cross team dependencies, with proven success driving product strategy, roadmaps, and execution at scale
