EnableComp
From EnableComp's careers page
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WHO WE ARE EnableComp earned its reputation in the toughest corners of the revenue cycle by solving the complex claims no one else could. We developed Complex Revenue Intelligence™ (CRI), a smarter approach to predict and prevent revenue loss. Powered by the e360 RCM® AI-driven platform and the most expansive complex revenue cycle data set, today EnableComp helps more than 1,000 hospitals nationwide recover $3 billion annually from complex claims, denials, and revenue recovery. By cutting through complexity, we help hospitals thrive, resulting in recognition as Black Book’s #1 Specialty RCM provider for complex claims and revenue integrity in 2024 and 2025, a multi-year Top Workplaces honoree, and a SOC 2 Type II and HITRUST e1-certified platform.Our Vision is to empower healthcare providers to focus on patient care, not revenue cycle complexity. Our Mission is to uncover what others miss—turning every client dollar recovered into insight that helps prevent future loss. We live our Core Values of Uncompromising Integrity, Ecstatic Clients, and Empowered Team Members by operating with trust, accountability, and a “we before me” mindset. We pursue Innovation and Profitable Growth through continuous improvement and thoughtful problem-solving, and we believe work should include Fun—celebrating success, recognizing our people, and maintaining healthy work-life balance. POSITION SUMMARY The Vice President, Sales is responsible for growing EnableComp’s complex claims services through acquisition of new customers and retention and growth of existing customer base.
JOB RESPONSIBILITIES Analytics and Reporting: Deliver analytical tools and reporting that provide actionable insights to inform the Commercial team's go-to-market strategy. Own the Commercial Intelligence roadmap from discovery and requirements gathering through data identification/acquisition and delivery.
Performance Monitoring: Proactively monitor key performance metrics, communicate performance clearly, and provide actionable insights to optimize bookings growth.
Predictive Analytics: Deliver sales and financial forecasting guidance using statistical and data science methods. Identify risks and opportunities and prescribe a data-driven path to achieve business goals.
Commercial Compensation: Support the design, modeling, and administration of the Commercial team's compensation structure and framework.
Strategic Insight: In collaboration with the SVP, turn structured and unstructured data into actionable information that drives business value.
Cross-Functional Collaboration: Partner closely with departments across the company to influence, support, and prioritize Commercial Intelligence initiatives.
Executive Support: Support executive leadership in preparing monthly and quarterly Board of Directors presentations and other ad hoc requests.
AI-Driven Process Improvement: Build, test, and maintain AI-powered tools and automated workflows that streamline internal Commercial processes, from report generation and data preparation to pipeline inspection and deal analysis. Own these solutions from idea through adoption. REQUIREMENTS & QUALIFICATIONS Bachelor's or Master's degree in business, finance, analytics, statistics, data science, or a related field.
3-5 years of proven sales analytics or sales finance experience.
Advanced Excel data modeling skills and experience working in Power BI.
Working knowledge of how to deploy AI coding assistants and AI-driven dashboards (e.g., Claude Code) to build analytics solutions and automate Commercial reporting.
Proficiency in SQL and Python or R for analysis and modeling preferred.
Strong working knowledge of data science approaches and statistical methodologies preferred, such as regression analysis, time-series forecasting, probabilistic and scenario modeling, hypothesis testing, segmentation/clustering, and predictive modeling (e.g., win-probability or propensity models).
RCM healthcare industry experience preferred.
Private-equity-backed or high-growth company experience.
Exceptional analytical skills with a demonstrated ability to build data-driven models that simulate business impact (including, but not limited to, sales forecast and sales compensation models).
Ability to identify and synthesize strategic priorities into use cases and solutions that can be built into analytical solutions.
Proven track record of using data and insights to drive commercial process improvements.
Strong cross-functional collaboration, communication (written and verbal), and interpersonal skills, with the ability to influence at all levels of an organization to drive preferred outcomes.
Comfort with ambiguity and the ability to respond quickly to evolving priorities in a fast-paced, matrixed, results-driven, team-oriented environment.
Uncompromising attention to detail and systematic problem-solving skills.
High integrity, independence, and strong individual motivation.
Curiosity and hands-on enthusiasm for applying AI to real business problems.
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