• Own the roadmap for legacy application disposition across multiple workstreams in the payments program • Work with engineering teams to define technical requirements and sequence migration and remediation work • Track application inventories and disposition status, flagging risks before they become blockers • Coordinate migrations to target infrastructure, including timelines and dependencies between teams • Translate business and compliance requirements into clear, actionable technical work • Run backlog grooming, sprint planning, and other delivery ceremonies with engineering teams • Align stakeholders across business, technical, and compliance groups on priorities and trade-offs • Report progress and risk to program leadership with data to back it up • Identify opportunities to simplify or accelerate the legacy retirement process

Role Description As the Senior Staff Data Product Manager, you will own the strategy, prioritization, and delivery of data-centric initiatives across the company. You will identify and champion innovative ways to leverage our data assets, and serve as the connective tissue between data teams and cross-functional stakeholders (product, engineering, finance, compliance, operations, security), ensuring we’re building the right data products at the right time, and with measurable business impact. This is a highly visible, senior IC role reporting into enterprise data leadership, with regular exposure to C-level and executive planning forums, and significant influence over how data, ML, and analytics teams are organized and resourced across the company. Responsibilities - Define and drive our data product strategy, aligning opportunities to more effectively leverage our data with the company’s objectives. - Translate business challenges into data-driven solutions: data products, ML models, dashboards, or infrastructure investments. - Own and maintain the data product roadmap, prioritizing initiatives across multiple stakeholders while balancing short term vs long term business needs. - Identify and manage trade-offs between data staffing capacity, cross-team dependencies, and business priorities. - Act as the senior program driver across diverse data roles: staff data engineers, data platform engineers, ML engineers, ML platform engineers, analytics engineers, and data scientists. - Lead cross-functional project management for data initiatives, ensuring milestones are met, blockers are cleared, and scope is aligned. - Partner with executive stakeholders to identify opportunities, gather requirements, and report on KPIs for data products. - Represent our data products in executive-level planning and review forums. - Identify and resolve organizational and architectural ambiguity in undefined problem spaces with minimal oversight. - Evangelize data best practices and the value of data-driven decision-making across the org. Qualifications - 12+ years of experience in product management, program management, or equivalent roles, with at least 8+ years focused on data, ML, or analytics. - Proven track record of shipping data products (e.g., ML-driven features, self-service analytics platforms, reporting suites, or governance tools). - Deep fluency of data and ML lifecycles from ingestion, modeling, and governance to feature engineering, model training, and deployment. - Hands-on experience partnering with data engineers, ML engineers, and data scientists. - Ability to translate complex data and ML concepts into business value for non-technical stakeholders. - Demonstrated success setting strategy that was later adopted at the executive/board level. - Exceptional skills in roadmap development, prioritization, and cross-functional coordination, including navigating competing or ambiguous priorities across business units. - Strong written and verbal communication skills; comfort presenting to executive leadership. Preferred But Not Required - Experience with ML platforms (feature stores, model registries, inference hosting) or data platforms (lakehouse, governance, catalogs). - Background in analytics, statistics, or data science and able to independently explore and validate data-driven opportunities. Salary Range $136,000 — $170,000 USD Benefits For information about our benefits, please visit https://benefitsatfanatics.com/

Role Description Buscamos un(a) Líder Técnico con experiencia en el desarrollo y liderazgo de soluciones de datos e inteligencia artificial. Este rol combina habilidades técnicas avanzadas con liderazgo estratégico para guiar equipos en la creación de productos innovadores que aprovechen el poder de los datos y la IA. El candidato ideal será responsable de definir la arquitectura técnica, supervisar la implementación de soluciones y garantizar la alineación con los objetivos del negocio. - Definir, supervisar y diseñar la arquitectura técnica de soluciones basadas en datos e inteligencia artificial, estableciendo la visión tecnológica y seleccionando herramientas y frameworks adecuados. - Liderar equipos multidisciplinarios en el diseño, desarrollo y operación de soluciones de machine learning, IA generativa y procesamiento de lenguaje natural, incluyendo microservicios y arquitecturas orientadas a eventos. - Validar con el equipo de MLOps, el ciclo de vida de los modelos: entrenamiento, validación, despliegue con CI/CD, monitoreo y retraining. - Desplegar e integrar chatbots en WhatsApp, incluyendo el conocimiento del modelo de precios por mensaje, la categorización (marketing, autenticación, utilidad) y la integración fluida con agentes humanos para escalamiento y resolución. - Colaborar activamente con áreas de producto, negocio y UX, traduciendo requerimientos estratégicos en soluciones técnicas escalables y sostenibles. - Asegurar calidad técnica, promoviendo buenas prácticas de desarrollo, revisiones de código, definición de estándares y métricas de desempeño. - Explorar y adoptar nuevas tecnologías en IA (modelos supervisados/no supervisados, detección de anomalías, grafos, generative AI), manteniéndose actualizado en tendencias y mejores prácticas. - Garantizar la gobernanza y seguridad de datos, cumpliendo con políticas de privacidad, control de acceso y cumplimiento regulatorio. Qualifications - Experiencia comprobable (5+ años) liderando proyectos de IA, ciencia de datos o analítica avanzada, incluyendo al menos 2 años con LLMs o IA generativa. - Experiencia en diseño e implementación de soluciones de detección de anomalías y patrones de comportamiento, especialmente en contextos de riesgo o fraude. - Sólido conocimiento en machine learning supervisado y no supervisado (regresión, árboles, clustering, SVM, boosting, etc.). - Dominio de Python y frameworks de machine learning como Scikit-Learn, PyTorch y TensorFlow. - Experiencia en arquitectura backend, diseño de microservicios, APIs REST, bases de datos relacionales (PostgreSQL, SQL Server) y NoSQL (MongoDB, Neo4J, etc.), y mensajería asíncrona (Kafka, RabbitMQ, etc.). - Conocimiento del ecosistema WhatsApp Business: API oficial, categorías de mensaje, modelo de precios y estrategias de optimización de costos. - Experiencia diseñando e implementando microservicios y arquitecturas orientadas a eventos. - Conocimiento en Docker, Kubernetes, CI/CD, sistemas de monitoreo, pipelines de entrenamiento y despliegue continuo. - Sólido entendimiento de técnicas de NLP, detección de anomalías y teoría de grafos, con aplicación práctica en soluciones empresariales. - Enfoque hands-on, con capacidad de liderar técnicamente y participar activamente en codificación, revisión de modelos y definición de arquitecturas. Requirements - Experiencia implementando soluciones multicloud en Azure, AWS y (deseable) GCP. - Implementación de gobierno de datos y seguridad de datos. - Implementación de pipelines de ML/IA en producción, incluyendo monitoreo y retraining automatizado. - Conocimiento en diversos lenguajes de programación como C# (.NET), Java, Golang. - Implementación de modelos de Monetización de datos. - Conocimiento en teoría de grafos aplicada a detección de comunidades, relaciones entre entidades y análisis de redes complejas.

Requisition Number: 2376303 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. We are seeking a Technical Product Manager - Cloud FinOps & Cost Analytics to lead and scale product capabilities across our healthcare payer technology portfolio. 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. The ideal candidate is a trusted product leader who can drive product strategy and execution, influence across business and technology teams, and build solid product talent. This role requires deep experience managing complex product ecosystems, balancing competing priorities, and operating effectively in a regulated healthcare environment. The Technical Product Manager - Cloud FinOps & Cost Analytics owns the identification, prioritization, and execution of cloud optimization opportunities across multi cloud environments. This role partners closely with engineering, FinOps Team, architecture, and customer teams to translate usage, cost, and performance signals into actionable optimization products, insights, and measurable outcomes. A core expectation of this role is leveraging AI and data driven techniques to scale optimization discovery, accelerate decision making, and improve customer engagement-helping application teams adopt cost efficient, scalable, and resilient cloud practices. 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. Primary 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 You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 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 Preferred Qualifications: - 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 *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.