What are the responsibilities and job description for the Quality Management Analytics Manager - Managed Care - Manhattan NY - Hybrid position at Tandym Group?
A healthcare company in New York City is looking to add a new Quality Management (QM) Analytics Manager to their growing QM Analytics team. In this role, the Quality Management (QM) Analytics Manager will be responsible for supervision of the QM Analytics Team.
- This is a Hybrid opportunity requiring the qualified professional to work onsite at least 3 days a week.
Responsibilities :
The Quality Management (QM) Analytics Manager will :
Supervise the QM Analytics Team, ensuring the maintenance of the HEDIS / QARR data repository for accurate and timely reporting to NYS DOH and CMS
Manage the integration of claims, provider, member, encounter, and supplemental data into quality measure rates, collaborating with internal teams and external vendors
Develop program forecasting models and quality dashboards to track and meet provider pay-for-performance program budgets and QM / Plan quality goals
Mentor and train analytics staff, develop strategic plans to meet deadlines while maintaining data integrity, and ensure data requests align with project needs and are accurately interpreted and reported
Develop and maintain processes for implementing, testing, and validating supplemental data from providers
Provide technical mentorship to QM Provider Engagement, Quality Review Leads, and Quality Improvement Specialists
Serve as mid-level escalation support for application issues, escalating data problems requiring process re-engineering
Select, develop, manage, and evaluate direct reports, providing clear instructions and guidance to project team members Qualifications :
Bachelor's degree required in public health, health administration, business administration, or information technology
5 years of experience in programming, application development, or reporting, with a strong analytical background (SAS, SQL, Crystal Reports, etc.)
Proficiency in utilizing analytics and business intelligence tools (e.g., SAS, R, SQL, Cognos, Business Objects) to create client analysis solutions
Advanced proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, Visio, and Access
Great interpersonal skills
Excellent communication skills (written and verbal)
Strong attention to detail
Highly organized Desired Skills :
Master's degree
