Data Orchestration & Metrics Operations Manager

Company Description

ClariFi Health develops AI-powered solutions designed to connect data and strategy to actionable outcomes, driving measurable ROI for dental service organizations (DSOs). Moving beyond traditional analytics and dashboards, ClariFi integrates clinical and operational data to identify growth opportunities and facilitate standards-based clinical outcomes. Developed by industry leaders with extensive experience in DSO operations, ClariFi addresses challenges in scaling growth and driving meaningful improvements. Our innovative platform enables dental groups to make data-driven decisions that directly impact performance and execution.

Role Description

This is a full-time on-site role located in New York, NY, for a Data Orchestration & Metrics Operations Manager. The role involves overseeing continual data validation processes, managing data operations, implementing and refining metrics, and ensuring accurate reporting and analysis of key operational data for our customers. You'll own the integrity of customer data as it flows into our platform. That means validating data against customers' source of truth and expectations, creating and maintaining the KPIs, onboarding customers to understand what their data actually shows, and partnering with engineering to keep our metrics running clean. You're not a dashboard builder—you're the person who makes sure data, metrics, and insights are always validated.

• Maintain the canonical metric library: write the spec for every KPI ClariFi tracks. What is the numerator? The denominator? Which PMS fields feed it? How do we handle edge cases (multi-location rollups, month-end timing, dismissed appointments)?
• Keep it current: as PMS systems update, as customer configurations change, as we learn what actually drives operator action, you update the definitions. Version control matters.
• Work with product & engineering: make sure metrics are calculated consistently across the platform. If two customers see different numbers for the same KPI, you own the investigation.

You'll be the voice customers hear when they first connect their PMS to ClariFi.

• Lead data onboarding calls: walk customers through what we're pulling, what we're validating, and what we need from them to maintain a state of validation
• Answer "why" questions: customers will ask why their metrics look a certain way. Sometimes it's a data problem; sometimes it's an operational reality they hadn't seen. You distinguish.
• Document customer configurations: every DSO's PMS setup is slightly different. You'll build and maintain the playbook for what we expect from Dentrix, Open Dental, Eaglesoft, etc.
• Build trust: be the person customers call when they're skeptical. Your credibility is ClariFi's credibility.

You'll be the subject matter expert on how customer PMS systems work and how they connect to ClariFi.

• Master PMS architecture: understand Dentrix, Open Dental, Eaglesoft, Dinticon, and other major platforms. What data do they capture? What are the gotchas?
• Document API contracts: work with engineering to build and maintain clear specs for what data ClariFi pulls, how it's transformed, and what quality guarantees we make.
• Troubleshoot integration issues: when a customer's data stops flowing, or looks wrong, you investigate. Is it a PMS configuration issue? An API problem? A calculation bug?

Qualifications

• 3–5 years of experience in data operations, metrics engineering, analytics operations, or business intelligence. You've built KPI frameworks. You've owned data quality. You know how to ask "what's true?" before "what do we want?"
• Fluency with PMS or healthcare systems: you've worked with Dentrix, Open Dental, Eaglesoft, or similar. You understand how dental practices capture and store operational data. (If you haven't, but have deep healthcare/medical practice experience, we can work with that.)
• SQL or data querying capability: you can write a query to validate a dataset, join two tables, or spot inconsistencies. You have strong SQL skills
• Clear communication with non-technical people: you explain data issues to customers who don't code. You translate between engineering and operations.
• Ownership mindset: you drive problems to resolution. You don't escalate and disappear. You see it through.
• Comfort with ambiguity: this role is partially undefined. You'll build processes that don't exist yet. You'll surface problems nobody's asked about yet
• Bachelor's degree: in Computer Science, Data Science, or a related field
• Experience in the healthcare or dental industry is desirable