Technical Product Management - Cloud Optimization - Remote

UnitedHealth Group is a global leader in health care innovation, seeking a Technical Product Manager - Cloud FinOps & Cost Analytics to lead product capabilities in their healthcare payer technology portfolio. This role involves driving product strategy and execution, collaborating with various teams to optimize cloud environments, and leveraging AI and data-driven techniques to enhance customer engagement and operational efficiency.

Responsibilities:

• Cloud & Onprem Optimization Outcomes Own and drive the identification, prioritization, and delivery of cloud & on-prem optimization opportunities across compute, storage, networking, and data platforms - producing measurable cost and efficiency improvements through both rate optimization (reserved instances, committed-use discounts, savings plans, spot/preemptible) and usage optimization (right-sizing, autoscaling, idle-resource reclamation)
• AI/ML Cost Optimization & Unit Economics Drive Cost Optimization & Efficiency across cloud and AI/ML consumption by understanding AI unit economics - instrumenting spend across providers (OpenAI, Anthropic, Gemini etc..) and environments (GPU-based SKUs, token-based billing, agent/inference services, call-center AI) and translating raw usage into cost-per-token, cost-per-inference, and cost-per-agent-run. Build on that foundation with AI-assisted analytics, Generative AI, and Agentic AI to scale discovery of waste, automate recommendations, and autonomously trigger or recommend remediation - deploying AI agents that continuously monitor environments, surface emerging waste patterns, and accelerate optimization decisions
• Analytics & Reporting - Perform hands-on analysis of cloud billing and usage data and build reports on-demand bases that turn raw consumption into executive-ready insight
• Market & Industry Intelligence Monitor industry trends in Generative AI, Agentic AI, and AI-driven FinOps to inform product roadmap and strategy, and benchmark internal AI unit costs against market rates
• Product Features & Execution Define and execute a focused product roadmap for cloud optimization capabilities, translating insights into scalable features, tools, and enablement patterns
• Customer & Stakeholder Engagement Partner with application teams, finance, and technology leaders to align optimization initiatives to business priorities and drive adoption and value realization
• Data-Driven Measurement Define success metrics (realized savings, utilization improvements, adoption rates) and continuously refine product strategy based on outcomes and feedback
• Cross-Functional Leadership Collaborate with engineering, architecture, FinOps, and operations to deliver secure, compliant, and scalable optimization solutions
• Executive Communication & Governance Prepare and deliver high-quality materials for Monthly and Quarterly Business Reviews (MBRs/QBRs), CIO briefings, and delegate meetings - executive readouts, savings scorecards, forward-looking pipeline narratives, and strategic recommendations - ensuring leadership has timely, accurate, and actionable visibility into optimization performance and priorities

Requirements:

• 7+ years of experience as a Technical Product Manager driving outcomes across cloud, platform, or FinOps-related products
• 3+ years of experience with cloud cost drivers, reserved-instance strategies, optimization levers, and value realization across Azure, AWS, GCP, Snowflake, Databricks, MongoDB, and data center environments
• 2+ years of experience in data analytics related to cloud & on-prem optimization through metrics
• 2+ years of experience with data visualization tools such as Power BI, Tableau, or Looker/Data Studio
• 1+ years of experience building AI agents and using AI-assisted tools for product management, analysis, and decision support
• Experience with SQL scripting
• Experience with advanced Excel skills - pivot tables, VLOOKUP/INDEX-MATCH, conditional formulas, and data modeling
• Experience partnering with customers or application teams to drive adoption and behavior change
• Experience translating complex technical and financial data into clear, actionable product direction
• Experience in backlog management, prioritization, and agile delivery
• Certifications: Azure Fundamentals (AZ-900), AWS Cloud Practitioner, Google Cloud Digital Leader, or FinOps Certified Practitioner
• Experience with cloud billing data, ETL/ELT pipelines, or data warehousing (BigQuery, Snowflake, Databricks)
• Experience building or working with Copilot / AI agent integrations in enterprise environments