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Das ist der Job
The Opportunity This role is hybrid, based in our Denver office, with a presence 2 days a week.
Darum lohnt es sich
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.
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 tools. • Promote a culture of data stewardship across teams.
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.
What’s in it for you: • 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 (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 outings • Peer-to-peer recognition program • Vendor discounts Compensation: $120,000 - 160,000annually **Please note that the compensation information that follows is a good faith estimate for Colorado-based hires only and is provided with the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules.** Work Authorization: You must be authorized to work in the United States.
We’re looking for a Senior Data Product Manager to help accelerate OrthoFi’s transformation into a truly data-driven organization. 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.
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 towards 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.
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, SOC 2).
The Company is unable to provide sponsorship for workers.
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