Senior Data Product Manager

Who We Are

At OrthoFi, we're not just another player in the orthodontic industry – we're the driving force that helps orthodontists launch more smiles while ensuring top-tier patient care. Our tech-savvy solutions are the secret sauce that empowers orthodontic practices across the United States. With a track record of supporting over 2,000 practices, and in partnership with OrthoBanc, we've unlocked access to quality, affordable orthodontic care for a whopping 3.2 million patients and counting!

Picture this: Our cutting-edge Patient Acquisition software combined with our expert Revenue Cycle Management solutions propels practices to achieve jaw-dropping 13% year-over-year growth. Plus, when it comes to patient and insurance billing, our collection results leave competitors in the dust.

Behind our mission is a dynamic team of around 300 passionate individuals. Our headquarters is based in Denver, CO, with employees spread across several states. Join us in our quest to transform the orthodontic landscape – where innovation meets dedication, and starting more smiles are just the beginning.

Our purpose is to radically improve the way patients access and pay for quality elective care. Diversity, equity, and inclusion (DEI) ensures we can fulfill our purpose by creating a better, more equitable and inclusive workplace for our community members and healthcare experience for all.

By focusing on DEI, we are working towards our mission of connecting more patients with quality orthodontic and dental care and helping make treatment accessible to over 1 million patients a year by 2025. Equity is core to our mission to serve patients, and DEI is embedded in our core values, especially “seek diversity,” and “do what’s right.”"

OrthoFi is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

The Opportunity

This role is hybrid, based in our Denver office, with a presence 2 days a week.

We’re looking for a Senior Data Product Manager to help accelerate OrthoFi’s transformation into a truly data-driven organization. In this role, you’ll define the strategy and execution framework for how data is captured, structured, governed, and leveraged across our SaaS platform — ensuring that every product team and the business as a whole can rely on consistent, accurate, and actionable insights.

Your initial focus will be internal: partnering with product, engineering, operations, customer success, and finance to strengthen data quality, visibility, and alignment across teams. Over time, you’ll help shape how OrthoFi uses data to power customer insights, automation, and AI-driven capabilities — turning information into a lasting competitive advantage.

This senior-level, cross-functional role blends product management, data strategy, and systems thinking. The ideal candidate brings both strategic vision and hands-on expertise to improve how data flows through the organization.

As OrthoFi’s Data Product Manager, you’ll define how the company thinks about and uses data — building the foundation for smarter decisions, scalable growth, and future innovation.

What You’ll Do:

Enable Data Across Products

• Partner with Product Managers to define what success looks like for each product and feature — the metrics, instrumentation, and data requirements needed to measure outcomes.
• Ensure data considerations are included in discovery, design, and delivery stages for all product initiatives.
• Collaborate closely with engineering and analytics to align event tracking, schema design, and system integrations.
• Build frameworks and best practices that improve how product teams plan, track, and learn from data.
• Act as a bridge between business, analytics, and technology teams to ensure the right data is available for decision-making.

Strengthen Data Governance

• Establish consistent definitions and taxonomies for key product and business metrics.
• Partner with data engineering and analytics teams to improve data quality, completeness, and lineage.
• Introduce standards for data documentation, ownership, and change management.
• Drive cross-functional adoption of shared data assets, dashboards, and