Description This role sits at the intersection of Data Management & Governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management. The position is accountable for making quality and governance requirements executable
Essential Duties and Responsibilities: - Supervise the work of call center staff to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems as needed - Interview and recommend hiring and promotion of
Essential Duties and Responsibilities: - Provide feedback regarding the design, development and distribution of training programs and materials as needed. - Conduct, plan, and coordinate training to a variety of audiences. - Coordinate logistics for instruction
Essential Duties and Responsibilities: - Supervise the work of call center staff to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems as needed - Interview and recommend hiring and promotion of
Essential Duties and Responsibilities: - Supervise the work of call center staff to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems as needed - Interview and recommend hiring and promotion of
Essential Duties and Responsibilities: - Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively. - Deliver public speaking sessions and educational programs to community agencies and local office
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with