Senior Product Manager - Intelligence

Adonis•New York, NY

2d•Hybrid

About The Position

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. 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.

Requirements

5+ 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.

Nice To Haves

Experience in healthcare RCM, revenue analytics, or healthcare data interoperability.
Familiarity with healthcare data standards such as FHIR or HL7.
Prior experience building or integrating with embedded BI platforms or data lakes.
Exposure to modern data stacks including dbt, Snowflake, or Airflow.

Responsibilities

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.