Sr. Product Manager - AI & Data Patient Experience & Commercial Operations Focu

Role Overview

We are seeking a Senior Product Manager to lead the strategy and execution of data products, AI/ML systems, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations. This role is focused on improving how patients navigate testing and billing while enabling operational teams to efficiently progress cases from order to completion. You will play a crucial role in supporting initiatives to reduce friction, improve patient trust, and increase operational efficiency, ultimately driving better conversion, collections, and experience.

You will partner closely with Patient Experience (e.g., digital products, billing, support channels, phlebotomy, and patient services) and Commercial Operations (e.g., customer success, case management, clinical coordination, and workflow operations) teams to identify bottlenecks, unlock scale, and deliver measurable outcomes. Operating in an embedded model, you will align with business stakeholders while building through centralized Data & AI platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver impact across experience, operations, and revenue.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and emerging AI patterns (e.g., LLMs, agentic systems), combined with strong experience and stakeholder intuition across the associated functions. The role has direct ownership of high-impact initiatives that deeply influence organizational success.

What You’ll Do

Strategy & Roadmap

Define and own the Data & AI product strategy and roadmap for the Patient Experience + Commercial Operations pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities

Translate ambiguous business problems (e.g., stuck cases, fragmented patient communication, support inefficiencies) into clear product direction and measurable outcomes

Discovery, Experimentation, & Requirements

Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis

Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.

Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics

Design and run experiments to validate product performance and measure causal impact

Establish leading indicators and KPIs for proactive health assessments

Delivery, Data, & ML Lifecycle

Partner with data and AI/ML engineering resources to deliver scalable products and capabilities

Guide development of robust data pipelines and unified data models (360° views across key entities)

Own the end-to-end M