Manager - AI Tech Project Management - Remote

Optum is a health care innovation company that develops data analytics, artificial intelligence, and cybersecurity solutions to improve health care. The Manager will lead the product strategy, roadmap, intake prioritization, and enterprise adoption of AI Patrol - Evals as a Service, while developing governed evaluation capabilities for AI and LLM solutions. The role will define evaluation standards, curate test sets, implement automated scoring, and guide LLMOps and model evaluation innovation.

Responsibilities:

• Own the product strategy, roadmap, intake prioritization, and enterprise adoption of AI Patrol - Evals as a Service
• Design, develop, and deploy AI-powered evaluation solutions to address complex business challenges with an emphasis on responsible AI use
• Convert fragmented evaluation practices into one governed, reusable shared service with standard scorecards and release gates
• Define evaluation dimensions for large language model (LLM) and agentic solutions, including accuracy, groundedness, hallucination rate, bias, toxicity, latency, and cost per task
• Curate gold-standard and adversarial test sets, set thresholds for automated LLM-as-judge and human-in-the-loop scoring, and prioritize key platform features
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, analyze requirements, summarize telemetry, and produce evaluation reporting
• Evaluate emerging trends in LLMOps and model evaluation to inform solution design, benchmarking standards, and strategic platform innovation

Requirements:

• Undergraduate degree or 4+ years of equivalent technical product or program management experience
• 5+ years of experience in technical product or program management owning product roadmaps, intake, prioritization, and writing measurable acceptance criteria
• 2+ years of experience managing platform or shared-service technical products
• 2+ years of experience or working fluency with large language models (LLMs), retrieval-augmented generation (RAG), and agentic architectures
• 2+ years of experience with AI model and application evaluation methods (eg, gold-set design, red-teaming/adversarial testing, hallucination measurement, or drift monitoring)
• 1+ years of experience using SQL and Python for reading evaluation telemetry, metrics, and dashboards
• Undergraduate degree in Computer Science, Data Science, Engineering, or a related technical field
• Hands-on experience with MLOps/LLMOps tools and CI/CD release gating concepts
• Experience with cloud AI platform services (AWS, Azure, GCP)
• Familiarity with healthcare data handling, including PHI and HIPAA compliance obligations
• Demonstrated ability to influence without authority across engineering, data science, governance, and business leaders
• Executive-level communication skills with experience presenting standardized evidence for AI governance, risk, and compliance stakeholders