Responsibilities:

Manage and Develop Staff

• Responsible for establishing and implementing a safe working environment that meets all licensure, regulatory, and accreditation requirements
• Lead, train and develop the members of the Artificial Intelligence team and assist them in delivering clear and actionable information
• Develops plans to monitor and manage staff productivity and success in meeting assigned objectives
• Ensure staff are well trained in policies, procedures, and business processes
• Reviews, make recommendations and implement the needed systems and tools to successfully fulfill corporate objectives and to support staff and team members
• Lead the identification and development of the Artificial Intelligence Team roles, configuration and recruitment
• Provide solution design guidance to the Artificial Intelligence team, ensuring delivery of best-in-class solutions for the challenges at hand
• Leads ongoing coaching and mentoring to staff on new technology tools and practices, including change management practices, to support a learning environment to advance team skills
• Ensure all staff are treated with respect and dignity
• Ensure standards are transparent and applied consistently, impartially, and ethically over time and across all staff members
• Work to resolve conflicts and disputes, ensuring that all participants are given a voice
• Effectively communicate feedback and provide ongoing coaching and mentoring to staff and support a learning environment to advance team skills and professional development
• Cultivate and encourage efforts to expand cross-team collaboration and partnership

Oversee Artificial Intelligence Operations

• Lead the development and implementation of AI/ML initiatives across the organization, ensuring alignment with business objectives and strategies
• Collaborate with cross-functional teams to design, build, and deploy AI/ML models and solutions
• Oversee the collection, processing, and analysis of large datasets from various sources to fuel AI/ML models
• Develop and maintain relationships with external partners, vendors, and academia to stay ahead of the curve in AI/ML innovation
• Ensure the successful deployment of AI/ML solutions across the organization, including training, support, and ongoing maintenance
• Foster a culture of innovation and experimentation, encouraging collaboration and knowledge sharing across the organization
• Develop, define, and enforce best practices, processes, policies and system security to ensure alignment with all corporate strategy and goals

Communication and Collaboration

• Lead in a consultant role in advising executive and senior leadership on complex and high-risk strategic and contractual operational IT initiatives
• Collaborate with leaders across the organization to help them understand and identify the value drivers to improve business operations and meet organizational objectives
• Communicate corporate initiatives with both technical and non-technical executives and other team members, using active leadership skills across project team and the business community
• Develop cross-departmental teams and analytics business application expertise throughout the organization

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and 5 (five) years of experience with increasing responsibilities in managing and supporting information technology
• Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
• Excellent analytical, strategic conceptual thinking, strategic planning and execution skills
• Experience with AI/ML platforms and tools, such as TensorFlow or PyTorch
• Experience with GenAI Models, such as Meta Llama and Mistral AI
• Excellent verbal and written communication skills, including the ability to explain AI concepts
• Planning and organizational skills
• Demonstrated skills in Microsoft Project, Excel, Word, and PowerPoint and other commonly used software and data analysis software
• Proven track record of delivering successful AI/ML projects and solutions
• Strong business acumen, including industry, domain-specific knowledge of the enterprise and its business units
• Ability to identify and calculate risk levels and implement mitigation techniques.
• Ability to work effectively with, manage, motivate and get results from diverse stakeholders, including executive and senior leadership.
• Ability to work across multiple, distributed, functional groups
• Specific experience with clinical management information systems is a plus.
• Artificial Intelligence and Machine Learning
• Productivity and reporting applications such as Data Analytics
• Business processes and their interrelationship gained through 5 (five) or more years of related experience
• Analyzing and resolving complex issues, both logical and interpersonal