OverviewCritical leadership role in the Analytics team responsible for all analytic activities for delivering insight used to optimizing clinical documentation programs and improve the quality of care on VNS members. Leadership to develop an Analytics strategic plan and support business intelligence, analytic, and data science techniques to improve risk adjustment results, including obtaining data from various internal sources, understanding relevant differences between each data source, designing and structuring files for analysis, and performing and interpreting descriptive, bivariate, and multivariate analyses. Works under general supervision. This position requires industry knowledge of risk adjustment analytic, data science and statistical methods to optimize operational processes.
Compensation:$122,300.00 - $164,000.00 Annual
What We Provide
- Referral bonus opportunities
- Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays
- Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life Disability
- Employer-matched retirement saving funds
- Personal and financial wellness programs
- Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care
- Generous tuition reimbursement for qualifying degrees
- Opportunities for professional growth and career advancement
- Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities
What You Will Do
- A subject matter expert which is a strategic, analytical, critical thinking senior departmental leader overseeing and leading the risk adjustment analytics functions.
- Develop, implement and manage comprehensive risk adjustment analytics strategy, which includes business intelligence reporting, financial forecasting, ROI analysis and Provider reporting.
- Provides leadership with information to enhance risk adjustment processes and ensure accurate clinical documentation. Evaluate program effectiveness and performance by using statistical and economic methods.
- Provides analytic and measurement support to inform pilot test/intervention design; ensures rigor in outcomes evaluation; evaluates pilot tests/interventions with respect to gap closure and ROI; and informs decisions about pilot/intervention modification and scale-up.
- This leader requires significant interaction with leadership at all levels of the organization, including internal leaders and external vendors and physician offices. They will work collaboratively and cross-functionally with Network, Operations, Product, IT and Finance in supporting risk adjustment operations.
- Provides provider-focused analytics and reporting; provides summary report of provider performance on potential gaps in coding and care delivery. Identify opportunities to develop a bi-directional data process and EMR interoperability practices.
- Analyzes complex data and information to provide meaningful results, identify success factors and improvement opportunities, suggest potential solutions, and help internal customers set strategic directions.
- Keeps abreast of current and new business content, regulatory knowledge, best practices, analytical methods and knowledge of diverse data sources-and systems necessary to support the efforts of Risk Adjustment analytics initiatives.
- Communicates complex Risk Adjustment concepts, strategies, initiatives, analytics, and results to a variety of stakeholders, including senior leadership.
- Reports results on risk adjustment-related outcomes, identifies needs and opportunities for improvement, and interprets results for stakeholders.
- Develops and manages relationships with other analytic teams and leaders at VNS Health to share best practices across the organization.
- Performs all duties inherent in a leadership role. Ensures effective staff training, interviews candidates for employment, evaluates staff performance, and recommends hiring, promotions, salary actions and terminations, as appropriate.
QualificationsLicenses and Certifications:SAS Certification or any certification in Advanced Analytics or Machine Learning/Deep Learning or a related topic preferred.
Education:Bachelor's Degree in Business, Finance, Actuarial Science, Quantitative Social Science, Mathematics, Statistics, Computer Science or a related field required. Master's Degree preferred.
Work Experience:Minimum of four years of progressive experience in healthcare or risk adjustment data analysis required. Experience modeling data involving outcomes and utilization, using various statistical software and computer programming (SAS, SQL, R, etc.) required. Demonstrated ability to evaluate quantitative data from multiple sources using statistical analysis and critical thinking skills required. Demonstrated experience with statistical software suites (e.g., SAS, R, Stata), strong understanding of database structure, relational database concepts, and exposure to Unix environments required. Ability to define problems, collect data, establish facts, and draw valid inferences required. Strong problem-solving skills exhibited by the ability to approach complex, ambiguous business issues with creative ideas and solutions required. Demonstrated strong communication, facilitation, and presentation skills required. Demonstrated experience in collaboration, teamwork, and cross-functional communication required. Familiarity with health policy, health insurance, benefit plans and product features, provider contracting approaches, reimbursement approaches and health management approaches required. Demonstrated strong organizational and project management skills, including the ability to handle multiple concurrent assignments required. Experience programming using risk adjustment models for Medicare, computing risk scores and evaluation of risk scores output for quality preferred. Prior experience in risk adjustment activities in a Medicare, Affordable Care Act or provider organization to including submission of Risk Adjustment Processing System (RAPS), and Encounter Data Processing System (EDPS), responses and reconciliation per CMS and other State and Federal Guidelines preferred. Knowledge of claims coding and payment methodology, associated with a Health Plan domain preferred. Background in CPT, HCPCS, and related Hierarchical Condition Coding (HCC) Methodologies preferred.#J-18808-Ljbffr