Director, Artificial Intelligence

Overview

HMA is a dynamic, national healthcare consulting firm at the leading edge of public healthcare. We support payers, providers, local/ State/and federal government agencies, technology companies, large delivery systems and foundations in improving the publicly funded healthcare system. HMA hires individuals who have lived and breathed the challenges of our clients, led managed care companies and other healthcare organizations, provided direct clinical care, designed healthcare policy at all levels of government, and provided thought leadership to the entire sector.

As the Director of Artificial Intelligence, you will be at the forefront of integrating AI into our healthcare consulting services, enhancing our ability to support a diverse range of clients, including payers, providers, and government agencies. You will lead the charge in adopting AI technologies that streamline operations and foster innovation and enhance our back-office functions, while also providing mentorship and promoting growth within the team. Your role is pivotal in maintaining our position as a leader in healthcare consulting, continuously advancing our services through AI and supporting our clients in every phase, from planning to quality improvement.

Job Summary

The Director, Artificial Intelligence is responsible for leading, driving, and implementing HMA’s AI strategy. This includes Identifying opportunities to use AI, as well as evaluating the benefits and costs. This position monitors and evaluates technology developments and best practices to determine what technologies are appropriate for the organization. The Director, Artificial Intelligence is expected to work with internal technical teams and external vendors to implement prototype and proof-of-concept solutions that provide value.

Responsibilities

Work Performed and Job Requirements

• Develop and refine the HMA's AI strategy, aligning it with business objectives and market trends.
• Identify opportunities for AI implementation across various departments and functions, prioritizing initiatives based on potential impact and feasibility.
• Lead cross-functional teams in the design, development, and deployment of AI solutions, ensuring alignment with project timelines and deliverables.
• Provide guidance and mentorship to team members.
• Collaborate with senior leadership, department heads, and external partners to gain buy-in and support for AI initiatives.
• Communicate progress, challenges, and outcomes effectively to stakeholders, adjusting strategies as needed to ensure success.
• Stay abreast of emerging AI technologies, tools, and best practices to offer innovative solutions.
• Drive the evaluation, selection, and integration of AI platforms, frameworks, and third-party solutions, ensuring scalability and interoperability.
• Oversee the development of data infrastructure and governance frameworks to support quality, secure, and compliant AI initiatives.
• Collaborate with data engineering and analytics teams to access, integrate, and preprocess data for AI model training and deployment.
• Establish and monitor key performance indicators (KPIs) and metrics to measure the effectiveness of AI solutions and identify areas for improvement.
• Implement feedback mechanisms and iteration cycles to continuously optimize AI models and algorithms for accuracy, reliability, and efficiency.
• Drive organizational change management efforts to foster AI adoption and cultivate a data-driven culture.
• Develop and deliver training programs to educate employees on AI concepts, capabilities, and applications relevant to their roles.
• All other duties as assigned.

Qualifications

Education/Training

Minimum of a bachelor's degree in computer science, cognitive science, engineering, mathematics, or a related field; advanced degree preferred.

Experience

Minimum of 10 years of experience in leading, monitoring, and implementing IT initiatives or projects; Minimum of 1 year of experience designing, configuring, and troubleshooting AI solutions in a business context. Experience with programming languages, machine learning frameworks, natural language processing libraries, data science tools, version control systems, and/or containerization tools is preferred.

Knowledge, Skills, and Abilities

• Understanding of ethical considerations and potential biases in AI algorithms and models
• Knowledge of regulatory frameworks and compliance requirements related to data privacy
• Understanding of technologies for deploying and serving AI models in production
• Ability to work in cross-functional teams and with stakeholders at all levels
• Ability to mentor technical and business professionals in the delivery of AI projects
• Strong project management skills
• Excellent attention to detail
• Exceptional oral and written communication skills
• Superior interpersonal skills
• Ability to manage significant recurring responsibilities with unpredictable short-term demands
• Ability to handle confidential information in a discrete manner
• Ability to work extended hours when deadlines are approaching

Work Aids and Equipment Used

Computer, printer, copier, scanner, fax, telephone, web conferencing.

Working Conditions

Work is sedentary in nature and performed in an office environment.  Frequent travel to client sites and HMA offices.  Involves frequent contact with staff and clients.  Work may be stressful at times. 

Physical/Mental Demands

Work requires hand dexterity for office machine operation; stooping, climbing, and bending to files and supplies; mobility to complete errands; stand/sit for up to eight hours each day; ability to communicate clearly when using the telephone; requires sitting; standing, walking, reaching, bending, lifting, and twisting at times; moderate levels of stress.

EEO

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Additional Info

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