Manager

• Build, optimize, and deploy forecasting models using time-series modeling, machine learning, and MLOps practices
• Apply advanced modeling and statistical analysis to Healthcare Quality metrics spanning NCQA HEDIS measures and CMS Clinical Stars
• Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting)
• Performs code reviews and enforces coding standards, based on company and industry requirements, across the development teams
• Identifies and mitigates technical risks, proactively addressing potential issues and challenges that may impact project success or data integrity
• Decides upon adoption of industry-standard data and advanced analytics capabilities by leveraging existing services and identifying industry-leading services
• Communicates complex analytical results to technical and non-technical leaders and stakeholders in a clear and concise manner to inform relevant parties of the developments within the Data Engineering department
• Collaborates with cross-functional teams, including product management, UX (user experience) and UI (user interface) designers, and business stakeholders, to define requirements and translate them into technical specifications and deliverables
• Mentors data analysts, fostering their professional growth and technical expertise to identify skill gaps, subsequently providing training opportunities to enhance team capabilities
• Provides strong hands-on leadership and guidance to a team of data analysts and data engineers, fostering a collaborative and high-performing environment
• Contributes to a motivated work environment by working effectively to achieve common goals
• Under general direction, independently executes analyses and/or provides guidance to junior data analysts to meet business needs

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