Senior Digital Product Manager - Python, LLM, Deep Learning

Requisition Number: 2345845
#OITech
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.
Join our team at Optum Real, where we are transforming revenue cycle management through the power of AI and machine learning. Our mission is to create a more patient-centric healthcare experience by reducing administrative friction, increasing transparency, and expediting processes for both providers and payers. We are building intelligent, scalable solutions that streamline operations and deliver measurable impact across the healthcare ecosystem.
As a Senior Digital Product Manager, you will support the development and delivery of AI-enabled products that improve healthcare outcomes and customer experiences. This individual contributor role blends product thinking with technical fluency in data science, enabling you to translate product requirements into actionable insights, support experimentation, and ensure data-driven decision-making throughout the product lifecycle.
Primary Responsibilities:

• Support the product lifecycle for AI-enabled solutions, from discovery to post-launch optimization
• Collaborate with data science and engineering teams to prototype and deliver AI-powered features
• Assist in defining success metrics, instrumentation, and telemetry for AI products
• Conduct data analysis and experimentation (e.g., A/B tests, pilots) to inform product decisions
• Translate customer feedback and market signals into product insights and feature recommendations
• Maintain documentation, dashboards, and reporting to support product performance tracking
• Ensure compliance with internal governance and responsible AI practices
• Contribute to product culture through clear communication, curiosity, and a focus on outcomes
• 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:

• Graduate degree or equivalent experience
• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Statistics, Engineering)
• 5+ years of total professional experience
• 2+ years of hands-on experience in data science or machine learning
• Experience with BI tools (e.g., Power BI, Looker, Tableau)
• Familiarity with AI product development and experimentation methods
• Proficiency in SQL and Python for data analysis and prototyping
• Proven solid analytical and problem-solving skills
• Proven excellent written and verbal communication skills

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.