Principal Data Product Manager

• Define and execute the multi-year roadmap for Ortho Fi’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

• 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

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.

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

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

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

• Healthcare
• Fintech
• HIPAA
• GDPR
• SOC 2

• Dbt
• Snowflake
• Redshift
• Power BI
• Tableau