Allied OMS
Overview
Join to apply for the
Director of Analytics
role at
Allied OMS . Allied OMS is a doctor-owned, doctor-led, and doctor-governed management services organization (MSO) in the oral and maxillofacial surgery space that combines the best of private practice with the best of private equity. Founded in 2020 in partnership with DuneGlass Capital, the Allied OMS network includes doctors serving patients across multiple locations. Responsibilities
Leadership & Strategy
Define and lead Allied OMS’s enterprise analytics strategy across RCM, operations, and marketing Build, mentor, and inspire a high-performing analytics team that drives accountability, innovation, and measurable results Partner with executive leadership to ensure analytics outputs directly inform growth, financial performance, and clinical quality Establish governance standards to maintain data accuracy, HIPAA compliance, and operational trust
Revenue Cycle Analytics
Oversee end-to-end revenue cycle analytics, including coding, charge capture, claims, denials, AR aging, collections, and payer mix Develop KPI dashboards and scorecards for financial health (e.g., clean claim rates, denial resolution, net collection rates, AR days) Provide actionable insights into payer performance and reimbursement trends to support negotiations and contract optimization Identify revenue leakage and design data-driven improvements to cash flow and billing efficiency
Operational Metrics & Performance Analytics
Build dashboards that track provider productivity, surgical case volume, referral conversion, treatment room utilization, scheduling efficiency, and patient flow Benchmark operational KPIs across practices and identify opportunities to improve throughput and staff utilization Support onboarding of new practices with standardized performance reporting and operational KPI frameworks Deliver insights that enable practice leaders to make informed staffing, scheduling, and resource allocation decisions
Marketing Analytics
Partner with the marketing team to track and optimize patient acquisition, referral patterns, campaign ROI, and digital engagement Develop dashboards for lead conversion, referral network growth, and campaign performance at the practice and enterprise level Analyze geographic and demographic trends to identify growth opportunities and support targeted outreach Integrate marketing performance metrics with operational and RCM data to provide a complete view of practice growth drivers
Data Architecture & Integration
Oversee enterprise data modeling and Snowflake optimization for RCM, operations, and marketing reporting Direct integration of EMRs, practice management systems, clearinghouses, and digital marketing platforms into a unified data environment Ensure scalable, secure, and compliant analytics pipelines across financial, clinical, and marketing domains
Analytics Delivery
Deliver executive-ready dashboards and presentations that unify financial, operational, and marketing insights Provide predictive analytics for revenue forecasting, patient acquisition, practice expansion, and M&A evaluation Collaborate with finance and operations leadership on physician compensation models that align with both financial and operational performance
Requirements
8+ years in healthcare analytics, with at least 3 years in a leadership role Strong expertise in revenue cycle data analytics (claims, denials, coding, payer mix, collections) Proven experience with operational metrics (provider productivity, case volume, treatment room utilization, referral conversion) Hands-on background in marketing analytics (campaign ROI, lead conversion, referral tracking, digital engagement) Deep technical proficiency in SQL, Snowflake, and enterprise-scale cloud data platforms Strong experience with Tableau (or similar BI tools) for building enterprise dashboards Bachelor’s degree required; Master’s preferred in Analytics, Healthcare Administration, Finance, or related field Preferred Skills
Knowledge of payer contracting analysis, reimbursement trends, and KPI benchmarking Familiarity with ETL/ELT tools, Tableau Prep, and advanced data transformation Proficiency with Python or R for predictive modeling and advanced analytics Experience combining marketing and operational data to measure ROI and optimize growth strategies Excellent executive communication skills with the ability to translate data into actionable insights Working Environment
Hybrid role – Southlake, TX office presence required at least three days per week Fast-paced, growth-oriented environment where RCM, operations, and marketing analytics are strategic levers for success Benefits
401(k) with 3% Non-Elective Safeharbor Contribution Dental Insurance Health insurance Vision insurance Flexible Spending Accounts Health Savings Account Long-term disability Short-term disability Voluntary life insurance Paid time off Hybrid work environment Allied OMS offers a competitive salary and benefits. The candidate must be able to work in the United States legally; we cannot provide sponsorship. Allied OMS is a proud equal-opportunity employer.
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Join to apply for the
Director of Analytics
role at
Allied OMS . Allied OMS is a doctor-owned, doctor-led, and doctor-governed management services organization (MSO) in the oral and maxillofacial surgery space that combines the best of private practice with the best of private equity. Founded in 2020 in partnership with DuneGlass Capital, the Allied OMS network includes doctors serving patients across multiple locations. Responsibilities
Leadership & Strategy
Define and lead Allied OMS’s enterprise analytics strategy across RCM, operations, and marketing Build, mentor, and inspire a high-performing analytics team that drives accountability, innovation, and measurable results Partner with executive leadership to ensure analytics outputs directly inform growth, financial performance, and clinical quality Establish governance standards to maintain data accuracy, HIPAA compliance, and operational trust
Revenue Cycle Analytics
Oversee end-to-end revenue cycle analytics, including coding, charge capture, claims, denials, AR aging, collections, and payer mix Develop KPI dashboards and scorecards for financial health (e.g., clean claim rates, denial resolution, net collection rates, AR days) Provide actionable insights into payer performance and reimbursement trends to support negotiations and contract optimization Identify revenue leakage and design data-driven improvements to cash flow and billing efficiency
Operational Metrics & Performance Analytics
Build dashboards that track provider productivity, surgical case volume, referral conversion, treatment room utilization, scheduling efficiency, and patient flow Benchmark operational KPIs across practices and identify opportunities to improve throughput and staff utilization Support onboarding of new practices with standardized performance reporting and operational KPI frameworks Deliver insights that enable practice leaders to make informed staffing, scheduling, and resource allocation decisions
Marketing Analytics
Partner with the marketing team to track and optimize patient acquisition, referral patterns, campaign ROI, and digital engagement Develop dashboards for lead conversion, referral network growth, and campaign performance at the practice and enterprise level Analyze geographic and demographic trends to identify growth opportunities and support targeted outreach Integrate marketing performance metrics with operational and RCM data to provide a complete view of practice growth drivers
Data Architecture & Integration
Oversee enterprise data modeling and Snowflake optimization for RCM, operations, and marketing reporting Direct integration of EMRs, practice management systems, clearinghouses, and digital marketing platforms into a unified data environment Ensure scalable, secure, and compliant analytics pipelines across financial, clinical, and marketing domains
Analytics Delivery
Deliver executive-ready dashboards and presentations that unify financial, operational, and marketing insights Provide predictive analytics for revenue forecasting, patient acquisition, practice expansion, and M&A evaluation Collaborate with finance and operations leadership on physician compensation models that align with both financial and operational performance
Requirements
8+ years in healthcare analytics, with at least 3 years in a leadership role Strong expertise in revenue cycle data analytics (claims, denials, coding, payer mix, collections) Proven experience with operational metrics (provider productivity, case volume, treatment room utilization, referral conversion) Hands-on background in marketing analytics (campaign ROI, lead conversion, referral tracking, digital engagement) Deep technical proficiency in SQL, Snowflake, and enterprise-scale cloud data platforms Strong experience with Tableau (or similar BI tools) for building enterprise dashboards Bachelor’s degree required; Master’s preferred in Analytics, Healthcare Administration, Finance, or related field Preferred Skills
Knowledge of payer contracting analysis, reimbursement trends, and KPI benchmarking Familiarity with ETL/ELT tools, Tableau Prep, and advanced data transformation Proficiency with Python or R for predictive modeling and advanced analytics Experience combining marketing and operational data to measure ROI and optimize growth strategies Excellent executive communication skills with the ability to translate data into actionable insights Working Environment
Hybrid role – Southlake, TX office presence required at least three days per week Fast-paced, growth-oriented environment where RCM, operations, and marketing analytics are strategic levers for success Benefits
401(k) with 3% Non-Elective Safeharbor Contribution Dental Insurance Health insurance Vision insurance Flexible Spending Accounts Health Savings Account Long-term disability Short-term disability Voluntary life insurance Paid time off Hybrid work environment Allied OMS offers a competitive salary and benefits. The candidate must be able to work in the United States legally; we cannot provide sponsorship. Allied OMS is a proud equal-opportunity employer.
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