Lead Product Manager, Adonis

• The ideal candidate has a strong background in healthcare analytics and enterprise SaaS, with the ability to translate complex requirements into intuitive experiences that drive measurable impact
• 8+ years of product management experience in enterprise software, analytics, or healthcare technology
• Strong understanding of healthcare revenue cycle management including denials, accounts receivable, claim workflows, and payer performance
• Proven experience delivering BI or data platform products such as dashboards, data pipelines, or alerting frameworks
• Strong analytical background and comfort working with SQL, data models, and visualization tools including Looker, Power BI, Tableau, or Metabase
• Excellent communication and stakeholder management skills with the ability to work independently and drive alignment across teams
• Experience defining and iterating on product metrics and performance dashboards
• Technical fluency and the ability to collaborate effectively with engineers and data teams

Desirable

• We are looking for a Senior Product Manager to lead Intelligence, the analytics layer that powers insights across the Adonis platform
• This role owns the vision, roadmap, and execution for reporting, dashboarding, and alerting experiences that help health systems understand, act on, and optimize their revenue operations through data
• You will work closely with engineering, design, data, and RCM subject matter experts to deliver simple, actionable, and scalable analytics products
• Own the strategy and roadmap for the BI and analytics platform including reports, dashboards, and alerting capabilities
• Translate business and user needs into clear product requirements and acceptance criteria
• Partner with engineering and design to define technical approaches, priorities, and sprint goals
• Engage with internal teams, customers, and leadership to align priorities and communicate progress
• Define success metrics and monitor adoption, usability, and impact of analytics products
• Ensure analytics outputs including KPIs, alerts, and reports are accurate, reliable, and actionable
• Partner with data engineering to ensure scalable data modeling, governance, and performance standards
• Contribute to the broader platform experience by integrating analytics seamlessly across the product ecosystem
• Influence customer outcomes by delivering analytics features that positively impact key revenue cycle KPIs
• Help build frameworks for quality assurance, testing, release management, and customer onboarding for analytics products
• Maintain a high bar for execution, ensuring Intelligence features deliver value consistently and efficiently