OrthoFi
Senior Data Product Manager – OrthoFi
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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.
What You’ll Do
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.
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 tools.
Promote a culture of data stewardship across the team.
Drive Data‑Driven Decision Making
Create visibility into how products perform through reliable reporting and metrics dashboards.
Work with operations, customer success, finance, and product leadership to ensure business decisions are informed by accurate, consistent data.
Lead post‑launch reviews and experimentation analysis to quantify impact and guide iteration toward adoption and optimized results.
Identify opportunities to automate insight generation or embed analytics into the product experience.
Prepare for Future Data Products & AI
Collaborate with product and engineering leaders to identify opportunities where data can enhance the customer experience through benchmarks, insights, or predictive recommendations.
Develop a long‑term vision for data and AI readiness, including the infrastructure, quality, and processes required to support intelligent features.
Partner with design and engineering to prototype and validate data‑powered capabilities that create measurable value.
What You’ll Bring
7+ years of experience in product management, with a strong focus on data and analytics‑driven products.
At least 3 years in a product leadership role; 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 and familiarity with modern data tools (dbt, Snowflake, Redshift, Power BI, Tableau, or similar).
Excellent communication and stakeholder management skills — able to translate between technical and business perspectives.
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 with teams through sprint cycles.
Nice to Have
Experience designing metric frameworks or governance programs at scale.
Background in analytics, data science, or ETL, data platform product management.
Familiarity with AI/ML data requirements and experimentation frameworks.
Experience in healthcare, fintech, or other regulated industries (HIPAA, GDPR, etc.).
Benefits & Compensation Compensation: $120 – 160k annually. Full medical, dental, and vision benefits with 100% employer paid options and buy‑up plans. Flexible PTO. Employer HSA contribution. 9 Company Paid holidays. 401(k) match, 2% after 90 days of employment. Supportive culture with one‑of‑a‑kind growth opportunities. Hybrid in‑office and work at home (2 days in‑office Tuesdays and Thursdays). Paid parental leave as well as a two‑week “ease‑back” program that enables parents to return part‑time at full pay. Company and team.
Job Details
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Product Management and Marketing
Industries: IT Services and IT Consulting
EEO Statement 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.
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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.
What You’ll Do
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.
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 tools.
Promote a culture of data stewardship across the team.
Drive Data‑Driven Decision Making
Create visibility into how products perform through reliable reporting and metrics dashboards.
Work with operations, customer success, finance, and product leadership to ensure business decisions are informed by accurate, consistent data.
Lead post‑launch reviews and experimentation analysis to quantify impact and guide iteration toward adoption and optimized results.
Identify opportunities to automate insight generation or embed analytics into the product experience.
Prepare for Future Data Products & AI
Collaborate with product and engineering leaders to identify opportunities where data can enhance the customer experience through benchmarks, insights, or predictive recommendations.
Develop a long‑term vision for data and AI readiness, including the infrastructure, quality, and processes required to support intelligent features.
Partner with design and engineering to prototype and validate data‑powered capabilities that create measurable value.
What You’ll Bring
7+ years of experience in product management, with a strong focus on data and analytics‑driven products.
At least 3 years in a product leadership role; 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 and familiarity with modern data tools (dbt, Snowflake, Redshift, Power BI, Tableau, or similar).
Excellent communication and stakeholder management skills — able to translate between technical and business perspectives.
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 with teams through sprint cycles.
Nice to Have
Experience designing metric frameworks or governance programs at scale.
Background in analytics, data science, or ETL, data platform product management.
Familiarity with AI/ML data requirements and experimentation frameworks.
Experience in healthcare, fintech, or other regulated industries (HIPAA, GDPR, etc.).
Benefits & Compensation Compensation: $120 – 160k annually. Full medical, dental, and vision benefits with 100% employer paid options and buy‑up plans. Flexible PTO. Employer HSA contribution. 9 Company Paid holidays. 401(k) match, 2% after 90 days of employment. Supportive culture with one‑of‑a‑kind growth opportunities. Hybrid in‑office and work at home (2 days in‑office Tuesdays and Thursdays). Paid parental leave as well as a two‑week “ease‑back” program that enables parents to return part‑time at full pay. Company and team.
Job Details
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Product Management and Marketing
Industries: IT Services and IT Consulting
EEO Statement 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.
#J-18808-Ljbffr