Principal Data Product Manager

OrthoFi

Principal Data Product Manager building OrthoFi’s common data platform. Enabling trusted analytics, automation, and AI capabilities for orthodontic practices and patients.

Posted 9/11/2026full-timeDenver • Alabama, Arizona, Colorado, Florida, Louisiana, Montana, North Carolina, Ohio, Tennessee, Texas • 🇺🇸 United StatesLead💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing data platform strategies, ensuring data quality, security, and compliance while collaborating with cross-functional teams. Proficient in data modeling, analytics instrumentation, and leveraging modern data tools to drive insights and operational improvements.

Highest-signal resume keywords

Product ManagementData Platform StrategyData ModelingSQLAgile Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ProductsETLAnalytics InstrumentationEvent TrackingMetric FrameworksData GovernanceData QualityData SecurityData ModelingAI/ML Data Requirements

Soft Skills

CommunicationStakeholder ManagementCollaborationStrategic VisionOperational Improvement

Tools & Technologies

DbtSnowflakeRedshiftPower BITableau

Industry Keywords

HealthcareFintechHIPAAGDPRSOC 2

Tech Stack

Tools & technologies

Amazon RedshiftETLSQLTableau

About the role

Key responsibilities & impact

Define and execute the multi-year roadmap for OrthoFi’s common data platform
Treat software engineers, data analysts, and product teams as core platform customers
Partner with Data Engineering to drive requirements for scalable ETL/ELT pipelines, central data storage, and unified data models integrating disparate SaaS data sources
Design self-service data access patterns, clean schemas, and APIs for product and engineering teams
Partner with SaaS Product Managers to define metrics, event tracking, and data requirements throughout feature discovery, design, and delivery
Collaborate with engineering and analytics to standardize event tracking, logging, schema design, and integration touchpoints
Build frameworks and best practices for planning, instrumenting, tracking, and learning from data
Establish consistent definitions, taxonomies, and central data modeling for core metrics
Ensure data lineage, quality, security, and completeness across the central data platform
Introduce enterprise standards for data documentation, ownership, cataloging, and schema change management
Promote data stewardship across technical and non-technical teams
Create reliable central dashboards and reporting layers
Collaborate with executive leadership, Customer Success, Operations, and Finance on trusted platform data
Lead long-term data strategy for AI/ML readiness and predictive analytics
Set the stage to own and commercialize Data as a Service as a future competitive differentiator

Requirements

What you’ll need

7+ years of experience in product management focused on building common data platforms, central data infrastructure, or data pipeline products
At least 3 years in a product leadership role
Proven track record of defining product strategy for central data platforms serving internal engineers, data scientists, and business consumers as customers
5+ years working in data, analytics, or data-intensive environments
Demonstrated success collaborating with engineering, product, and business teams to define and deliver data-related initiatives
Strong understanding of data modeling, event tracking, and analytics instrumentation
Working knowledge of SQL
Familiarity with modern data tools such as dbt, Snowflake, Redshift, Power BI, Tableau, or similar
Excellent communication and stakeholder management skills
Proven ability to balance near-term operational improvements with long-term strategic vision
Experience working in Agile product development environments; comfortable defining stories, managing backlogs, and collaborating through sprint cycles
Experience designing metric frameworks or governance programs at scale
Background in analytics, data science, ETL, or data platform product management
Familiarity with AI/ML data requirements and experimentation frameworks
Experience in healthcare, fintech, or other regulated industries, including HIPAA, GDPR, or SOC 2, is nice to have
Must be authorized to work in the United States
Company is unable to provide sponsorship for workers

Benefits

Comp & perks

Full medical, dental, and vision benefits
Flexible PTO
Employer HSA contribution
9 Company Paid holidays
401(k) match, 3% after 90 days of employment
Supportive culture with one-of-a-kind growth opportunities
Hybrid in-office and work at home
Paid Parental Leave
Two-week "ease-back" program enabling parents to return part-time at full pay
Company and team outings
Peer-to-peer recognition program
Vendor discounts