Quality Assurance Program Lead (training/development) - Remote at DaVita in Tennessee Remote

Job description

Posting Date 10/13/2026
5200 Virginia Way, Brentwood, Tennessee, 37027-7569, United States of America
 Position Summary We are seeking a dynamic Enablement Program Lead who advances learning effectiveness, quality, and business outcomes across the Insurance Management Team by connecting insights from Learning and Development, Quality, and Operations. This role supports ~350 teammates through their work by analyzing performance and learning data, strengthening quality governance, supporting evaluator consistency, improving Quality Assurance resources, and developing innovative solutions that turn insights into action. The Enablement Program Lead works closely with training and development Program Leads, operational partners, evaluators, and other stakeholders to identify improvement opportunities and implement solutions that strengthen teammate performance, program effectiveness, and operational efficiency. Open to remote candidates Call center, Customer Service QA preferred Travel 1-2x year to Denver, CO is required Essential Duties and Responsibilities Learning Effectiveness and Continuous Improvement Analyze assessment, quality assurance, and operational data to identify performance trends, learning needs, and improvement opportunities. Translate data and findings into clear, actionable recommendations for learning programs, tools, resources, and operational support. Partner with Program Leads to design and implement solutions that improve learning outcomes, teammate performance, and overall program effectiveness. Establish and maintain a feedback loop among Learning and Development, Quality, and Operations. Monitor the impact of implemented solutions and recommend adjustments based on results. Quality Assurance Governance and Calibration Develop, document, and maintain quality standards, evaluation criteria, and supporting governance processes. Coordinate and facilitate evaluator calibration activities to promote alignment, consistency, and reliable application of quality standards. Create resources and guidance that help evaluators understand and consistently apply evaluation expectations. Partner with stakeholders to identify opportunities to strengthen quality processes, measurement practices, and evaluator support. Quality Assurance (PIE) Enablement and Learning Resources Develop and maintain job aids, reference materials, and support resources for evaluators and teammates using PIE. Promote effective adoption and use of PIE through clear guidance, accessible resources, and ongoing enablement. Gather stakeholder feedback and performance insights to continuously improve PIE tools, resources, and support materials. Ensure PIE-related learning resources are accurate, practical, and aligned with current quality and operational needs. Learning Innovation and AI Solutions Design, develop, and manage AI-powered PIE agents and learning support tools. Identify opportunities to use AI, technology, and automation to improve learning effectiveness and operational efficiency. Coordinate the development, testing, implementation, and ongoing improvement of technology-enabled learning solutions. Partner with stakeholders to ensure tools address defined business and learning needs. Evaluate tool effectiveness and use findings to guide future enhancements. Knowledge Management Maintain organized, accurate, and current learning and quality resources. Review existing resources to identify outdated, duplicate, missing, or difficult-to-access content. Coordinate updates with subject matter experts and other content owners. Support consistent organization and accessibility of materials so teammates and evaluators can efficiently locate trusted information. Required Competencies Critical thinking: Connects information from multiple sources, identifies patterns, and recommends practical next steps. Data analysis: Interprets moderately complex learning, assessment, quality, and operational data and converts findings into actionable insig