Lead Product Manager, Consumer Insights

Health Catalyst

8d•Remote

About The Position

Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through: Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation Analytics: deliver analytic applications & services that generate insight on how to measurably improve Expertise: provide clinical, financial & operational experts who enable & accelerate improvement Engagement: attract, develop and retain world-class team members by being a best place to work Role: Lead Product Manager, Consumer Insights Team: Patient Engagement Location: US Remote Travel: <15%, US This position is currently not eligible for visa sponsorship What you'll own in this role: Product Strategy & Ownership Own the roadmap for data-driven products that support patient segmentation, psychographics, and outreach optimization. Define how insights are surfaced in-product to support decision-making, not just reporting. Balance statistical rigor with usability, explainability, and client trust. Ensure data products align tightly with Upfront’s engagement and outcomes strategy. Identify and prioritize AI use cases that measurably improve outcomes, including: Patient segmentation and cohorting Personalized outreach and messaging optimization Risk modeling and prioritization for intervention Ensure data and AI initiatives align tightly with Upfront’s core product strategy and client needs. Balance innovation with explainability, compliance, and real-world usability. Psychographics & Model Ownership Own Upfront’s psychographic and segmentation models end-to-end. Define model inputs, outputs, confidence scoring, and limitations. Act as the primary defender and spokesperson for the model: Why it works Where it’s directional vs precise How it should (and should not) be used Partner with analytics and data science to evolve models over time while maintaining continuity and trust. Ensure models are documented, explainable, and responsibly applied. Client & Sales Engagement Partner with Client Strategy and Sales to: Support sales conversations and deal qualification Explain models and insights to prospective clients Address questions around accuracy, bias, and limitations Participate in client-facing discussions, Q&A sessions, and roadmap conversations. Help shape external messaging and enablement materials related to data products. Gather direct client feedback and incorporate it into product evolution. Execution & Cross-Functional Collaboration Work closely with data engineering, analytics, and product teams to deliver scalable, reliable data products. Translate complex models into clear requirements, workflows, and acceptance criteria. Prioritize work based on impact, confidence, and business value. Communicate progress, risks, and tradeoffs clearly to internal stakeholders. Data Quality, Governance & Compliance Champion data quality, reliability, and trust across all AI and data products. Ensure all solutions meet healthcare regulatory and security standards (HIPAA, HITRUST). Embed governance, auditability, and transparency into product design. Information Security and Compliance Responsibilities: Maintain compliance with training directives required by the organization pertaining to Information Security, Acceptable Use Policy and HIPAA Privacy and Security. Adhere to and comply with the organizations Acceptable Use Policy. Safeguard information system assets by identifying and reporting potential and actual security events to the organizations Security and Compliance Officers. The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst. Studies show that candidates from underrepresented groups are less likely to apply for roles if they don’t have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don’t meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit. At Health Catalyst, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Health Catalyst is an equal opportunity employer. Important Notice: Beware of Fraudulent Job Postings Health Catalyst has recently become aware of fraudulent job postings and recruitment activities impersonating our company on various job boards and social media platforms. These postings may include fake job offers, requests for personal information, or attempts to collect payment from applicants. Please note: Health Catalyst never asks for payment or financial information during the recruiting process All legitimate job openings are listed on our official career page Communications from Health Catalyst will come from official company email addresses ending @healthcatalyst.com and/or [email protected] If you encounter a suspicious posting or communication claiming to represent Health Catalyst: Do not share personal or financial information. Report the incident to us immediately at [email protected]. You may also report fraudulent activity to the job board or social media platform where it appeared. Your safety and trust are important to us. Thank you for helping us maintain the integrity of our hiring process. About Us: Health Catalyst is a leading provider of data and analytics technology and services that ignite smarter healthcare, lighting the path to measurable clinical, financial, and operational improvement. More than 1,100 organizations worldwide rely on Health Catalyst's offerings, including our cloud-based technology ecosystem, Health Catalyst Ignite™, AI-enabled data and analytics solutions, and expert services to drive meaningful outcomes across hundreds of millions of patient records. Powered by high-value data, standardized measures and registries, and deep healthcare domain expertise, Ignite helps organizations transform complex information into actionable insights. Backed by a multi-decade mission and a proven track record of delivering billions of dollars in measurable results, Health Catalyst continues to serve as the catalyst for massive, data-informed healthcare improvement and innovation. Health Catalyst has cultivated a workplace culture that recognizes, values, and supports each individual. This commitment to a compassionate and inclusive work environment has earned Health Catalyst more than 100 "Best Place to Work” awards to date, including multiple prestigious awards for its exemplary culture in 2025: Women Tech Council's Shatter List Modern Healthcare's Best Place to Work in Healthcare U.S. News & World Report's Best Companies to Work For Newsweek's America's Greatest Workplaces for Diversity Newsweek's America's Greatest Workplaces for Gen Z Newsweek's America’s Greatest Workplaces in Tech Becky Vea, Associate Chief People Officer at Health Catalyst, Awarded the HR Achievement Award by Utah Business At Health Catalyst, we celebrate and are committed to diversity and inclusion across all dimensions, including but not limited to race, gender, identity, age, and religion. Our six team member resource groups include: Shades; Queers & Allies; Women Empowered; InspireAsian; Neurodivergent; and Military, Veterans, Families, and Allies. We offer best-in-class benefits designed to promote ownership, inclusion, and a healthy work-life balance. Our team enjoys a remote-first work environment, flexible PTO, a professional development stipend, and meaningful opportunities for career growth and development.

Responsibilities

Own the roadmap for data-driven products that support patient segmentation, psychographics, and outreach optimization.
Define how insights are surfaced in-product to support decision-making, not just reporting.
Balance statistical rigor with usability, explainability, and client trust.
Ensure data products align tightly with Upfront’s engagement and outcomes strategy.
Identify and prioritize AI use cases that measurably improve outcomes, including: Patient segmentation and cohorting Personalized outreach and messaging optimization Risk modeling and prioritization for intervention
Ensure data and AI initiatives align tightly with Upfront’s core product strategy and client needs.
Balance innovation with explainability, compliance, and real-world usability.
Own Upfront’s psychographic and segmentation models end-to-end.
Define model inputs, outputs, confidence scoring, and limitations.
Act as the primary defender and spokesperson for the model: Why it works Where it’s directional vs precise How it should (and should not) be used
Partner with analytics and data science to evolve models over time while maintaining continuity and trust.
Ensure models are documented, explainable, and responsibly applied.
Partner with Client Strategy and Sales to: Support sales conversations and deal qualification Explain models and insights to prospective clients Address questions around accuracy, bias, and limitations Participate in client-facing discussions, Q&A sessions, and roadmap conversations.
Help shape external messaging and enablement materials related to data products.
Gather direct client feedback and incorporate it into product evolution.
Work closely with data engineering, analytics, and product teams to deliver scalable, reliable data products.
Translate complex models into clear requirements, workflows, and acceptance criteria.
Prioritize work based on impact, confidence, and business value.
Communicate progress, risks, and tradeoffs clearly to internal stakeholders.
Champion data quality, reliability, and trust across all AI and data products.
Ensure all solutions meet healthcare regulatory and security standards (HIPAA, HITRUST).
Embed governance, auditability, and transparency into product design.
Maintain compliance with training directives required by the organization pertaining to Information Security, Acceptable Use Policy and HIPAA Privacy and Security.
Adhere to and comply with the organizations Acceptable Use Policy.
Safeguard information system assets by identifying and reporting potential and actual security events to the organizations Security and Compliance Officers.