Assistant Director of Quality Improvement

The Department of Transitional Assistance (DTA) is seeking detail-oriented leaders for the position of Assistant Director of Quality Improvement. The ideal candidate will plan, manage, coordinate, monitor and evaluate DTA quality improvement processes while directing and overseeing daily program operations of the Quality Improvement (QI) Unit.

DTA attracts people passionate about public service, who love to work in a fast-paced environment, and who are committed to diversity, equity, and inclusion.

Duties and Responsibilities (these duties are a general summary and not all inclusive):

·       Design and lead the Quality Improvement unit’s operational planning process.

·       Identify and implement process improvement opportunities.

·       Supervise and provide policy guidance to a unit of Quality Improvement employees.

·       Direct and manage data collection and reporting processes, including the preparation of analytical and performance reports.

·       Lead and direct project management activities, providing advice and assistance in identifying business process improvement opportunities and implementation strategies.

·       Develop and deliver direct orientation and in-service training programs for the Quality Improvement Unit in collaboration with the Training and Development Unit.

·       Advise on policy and program issues; provide position papers, represent DTA on interagency workgroups, with state and federal agencies, and the general public.

·       Oversee data validation, analysis, and interpretation to support evidence-based decision-making

Preferred Qualifications:

·       Knowledge of quality improvement management and project management principles and practices.

·       Knowledge of state and federal quality control regulations, policies and procedures.

·       Knowledge of policy and procedures of multiple programs for accuracy determination, research, and data collection.

·       Knowledge of statistical sampling methodologies, and reporting system best practices.

·       Knowledge of business process improvement and redesign theory and practice.

·       Knowledge of operational planning processes and management principles and practices.

·       Knowledge of training and development principles and practices.

·       Knowledge of computer programming languages and statistical report writing.

·       Knowledge of the methods and techniques used in the collection and analysis of data.

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