
Education • Recruitment
Nightingale Education Group is a U. S. -accredited nursing workforce developer founded in 2010 and headquartered in Salt Lake City, Utah. It advances health equity by delivering nursing education across the professional continuum (prelicensure to graduate and continuing education), creating learning resources and online courses, and providing workforce development and recruitment solutions that connect healthcare employers with a relevantly skilled nursing workforce representative of the communities they serve. The organization operates several divisions—Nightingale College (higher learning and clinical apprenticeships), Nightingale Innovations/EvolvEd (learning resources and on-demand courses), and Nightingale Solutions (employer workforce services)—focused on training, upskilling, and placing nurses to improve access to care and close educational and health equity gaps.
October 24

Education • Recruitment
Nightingale Education Group is a U. S. -accredited nursing workforce developer founded in 2010 and headquartered in Salt Lake City, Utah. It advances health equity by delivering nursing education across the professional continuum (prelicensure to graduate and continuing education), creating learning resources and online courses, and providing workforce development and recruitment solutions that connect healthcare employers with a relevantly skilled nursing workforce representative of the communities they serve. The organization operates several divisions—Nightingale College (higher learning and clinical apprenticeships), Nightingale Innovations/EvolvEd (learning resources and on-demand courses), and Nightingale Solutions (employer workforce services)—focused on training, upskilling, and placing nurses to improve access to care and close educational and health equity gaps.
• The Director, Data will be a key strategic leader responsible for overseeing and optimizing our data-driven initiatives. • Making crucial technology decisions to enhance our data infrastructure capabilities. • The incumbent will drive actionable insights and fuel organizational growth. • Provides guidance and leadership in shaping the organization's long-term goals and objectives, including developing and executing plans that align with the company's mission, vision, and values, while ensuring that resources are utilized effectively and efficiently. • Develops and executes the data strategy, ensuring alignment with overall business goals and objectives. • Oversees the design, development, and maintenance of scalable and efficient data models and data warehousing solutions. • Drives the implementation and enhancement of ETL processes to ensure the timely and accurate ingestion of data from various sources. • Collaborates with cross-functional teams to identify data and analytics needs and provide valuable insights to support decision-making. • Establishes and enforces data governance policies and best practices to ensure data integrity, security, and compliance. • Monitors data performance metrics and conducts regular assessments to identify opportunities for improvement and optimization. • Stays abreast of industry trends, emerging technologies, and best practices in data management and analytics to drive continuous improvement and innovation. • Identifies, develops, and implements improvements in processes or policies and ensures adoption within the function and organization. • Develops and manages the functional budget and ensures resources and assets are managed within the approved budget. • Collaborates in hiring activities including candidate selection, participation in panel and individual interviews, and making hiring decisions. • Supports collaborators in all aspects of training and development including performance, behaviors, competencies, and alignment. • Participates in the successful implementation of functional projects as they arise.
• Bachelor’s in Computer Science, Data Science, or a related field from an accredited institution is required, a or Master’s degree is preferred • Demonstrated a minimum of 10 years of experience in data management, data engineering, or a related field is required • Demonstrated a minimum of five years in a leadership or managerial role is required • Demonstrated a minimum of five years of experience with Data Modeling, Data Warehousing, ETL processes, and cloud-based technologies, particularly AWS and Snowflake, is required • Demonstrated experience in various data visualization tools such as Tableau, Power BI, Sigma, Domo, or similar is required • Demonstrated experience in effectively leading and developing high-performing data and analytics teams is required • Demonstrated experience conveying complex technical concepts to non-technical stakeholders is required
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities
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