Chamber

Product Manager

• Own Data Foundations
• Define and evolve canonical data models, taxonomies, value sets, and crosswalks across multiple data sources.
• Drive thoughtful decisions about when to adopt external standards and when to build internal abstractions.
• Establish versioning and change management practices that protect downstream product stability.
• Lead Signal & Insight Strategy
• Own the roadmap for risk models, prioritization logic, derived features, and core product signals.
• Partner with Data Science and Engineering to improve accuracy, explainability, and clinical relevance.
• Ensure signals align with value-based care performance and real-world clinical workflows.
• Strengthen Quality & Governance
• Define expectations for completeness, timeliness, and reliability across the platform.
• Introduce pragmatic governance frameworks that increase trust without slowing execution.
• Create transparency around signal lineage, monitoring, and performance over time.
• Advance AI & Automation
• Identify where AI and automation meaningfully improve insight generation and operational scale.
• Collaborate on training data requirements, evaluation metrics, validation processes, and monitoring.
• Balance innovation with trust, ensuring outputs remain explainable and clinically credible.
• Productize Intelligence
• Translate platform-level data capabilities into tangible product features, including decision support tools, prioritization queues, performance dashboards, and predictive indicators.
• Partner with Design and Engineering to embed insights directly into real workflows.
• Define and measure success in terms of adoption, operational efficiency, and clinical outcomes.

Senior Product Manager