Principal Product Manager - Health Data Platform

About the role

This role defines and owns the roadmap for the Health Data Platform at a leading health tech company. You represent customers and providers while shaping platform strategy with cross-functional partners.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Roadmaps for the health data platform are defined and owned to align with PointClickCare product portfolio objectives and long-term vision.

Customers, healthcare providers, and industry partners are represented to optimize time to value and successful outcomes.

Clinical and operational data are delivered at scale for analytics and AI initiatives using deep expertise in health data domains, data pipelines, governance, and quality practices.

Sophisticated solutions are delivered from discovery through implementation and delivery, guided by a track record of building complex health data platform capabilities.

Requirements

A bachelor's degree or equivalent experience is required for this role.

You must demonstrate the ability to turn complex technical challenges into actionable platform strategy.

You must have a track record of building sophisticated solutions from discovery to implementation to delivery.

US work authorization is required due to the role and company policies.

Practical notes

This role is remote with an expectation to attend in-office events in Mississauga and/or Salt Lake City, including onboarding, team events, and semi-annual and annual meetings.

Travel to these offices is required for the remote variant of this position.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The platform integrates with hundreds of partners through a marketplace.

Employees are supported through reinvestment in research and development, training, and development programs.

The company has been recognized for corporate culture and cloud innovation.

Questions to ask

Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. Travel to Office expectations For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office.