Qualifications: • IT Leadership experience at the level of leading other leaders, managers, supervisors, etc. • Experience with developing, leading, and/or influencing enterprise data management strategies and data governance strategies • Knowledge of data architecture and analytics • Proficiency in database management systems (e.g., Oracle, SQL Server) • Experience with data integration tools and technologies • Experience with cloud platforms (e.g., AWS, Azure) • Knowledge of data visualization tools (e.g., Power BI) • Familiarity with machine learning and artificial intelligence technologies Responsibilities: Technical Responsibilities • Leading the development and execution of data and artificial intelligence strategies aligned with organizational goals • Collaborating with senior leadership, stakeholders, and vendors to define data needs, create system roadmaps, and support digital transformation • Overseeing enterprise data systems, ensuring data quality, integrity, security, and regulatory compliance • Leading data governance and maintaining a centralized data repository to support digital initiatives • Developing and tracking IT service metrics, supporting continuous improvement, and assisting with IT budgeting • Ensuring robust infrastructure through disaster recovery and business continuity planning • Managing project execution through balancing scope, quality, schedule, budget, and risk to meet stakeholder expectations • Staying current with emerging technologies to drive innovation and enhance organizational capabilities Leadership Responsibilities • Fostering a collaborative IT culture through empowering staff to lead with autonomy and accountability • Mentoring and coaching team members and supervisors to support career growth, conflict resolution, and professional development • Identifying and developing high-potential talent through strategic succession planning • Inspiring adaptability and innovation through effective change leadership • Effectively communicating system changes to technical and non-technical audiences to influence support and utilization of these technologies • Promoting continuous learning by providing resources for professional development • Analyzing workforce capabilities to align skills with organizational strategy