Principal Data Product Manager

Jobtailor; Alabama; On-site; USD 150,000 - 190,000; Full time

Job summary

OrthoFi seeks a senior product leader to own the data platform strategy, collaborating with engineering, product, and analytics teams to deliver scalable data infrastructure.

You will drive data modeling, instrumentation, and governance across centralized data sources, enabling analytics and AI/ML readiness.

Qualifications

• 7+ years in product management building data platforms or data pipelines.
• At least 3 years in a product leadership role.
• Strong data modeling, event tracking, and analytics instrumentation.
• Working knowledge of SQL.
• Familiar with dbt, Snowflake, Redshift, Power BI, Tableau or similar.
• Authorized to work in the United States; company cannot sponsor.

Responsibilities

• Define and execute the multi-year roadmap for OrthoFi’s common data platform.
• Partner with Data Engineering to drive scalable ETL/ELT pipelines, central data storage, and unified data models.
• Design self-service data access patterns, clean schemas, and APIs for product and engineering teams.
• Collaborate with SaaS Product Managers to define metrics, event tracking, and data requirements.
• Build frameworks and best practices for planning, instrumenting, tracking, and learning from data.

Skills

Product Management

Data Platform Strategy

Data Modeling

SQL

Agile Product Development

Tools

dbt

Snowflake

Redshift

Power BI

Tableau

Job description

• 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

• 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

Core Competencies

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 Management
• Data Platform Strategy
• Data Modeling
• SQL
• Agile Product Development

Hard Skills

• Data Pipeline Products
• ETL
• Analytics Instrumentation
• Event Tracking
• Metric Frameworks
• Data Governance
• Data Quality
• Data Security
• Data Modeling
• AI/ML Data Requirements

Soft Skills

• Communication
• Stakeholder Management
• Collaboration
• Strategic Vision
• Operational Improvement

Industry Keywords

• Healthcare
• Fintech
• HIPAA
• GDPR
• SOC 2

Tools & Technologies

• Dbt
• Snowflake
• Redshift
• Power BI
• Tableau