VP, Applied AI Solutions

Role Summary VP - Applied AI Solutions Role Overview The Vice President of Applied AI Solutions will be responsible for leading the organization’s AI strategy, development, and deployment of AI solutions across various business units. This role requires a strong technical background in AI and machine learning, combined with the ability to drive innovation, collaboration, and strategic alignment with business objectives. Key Responsibilities Develop and execute a comprehensive AI solutions strategy aligned with the company’s vision and business goals. Lead, mentor, and grow a high‑performing AI solutions team, fostering a culture of innovation and collaboration. Oversee the design, development, and deployment of AI models and algorithms, ensuring scalability, reliability, and performance. Partner with enterprise A.I. program to identify opportunities for AI integration and engineer the scale required for adoption of AI solutions across the organization. Establish best practices for AI solutions, including data management, model training, validation, and deployment processes. Stay abreast of industry trends, emerging technologies, and regulatory considerations related to AI and machine learning. Drive research and development initiatives to explore new AI technologies and methodologies. Manage budgets and resources for AI solutions projects, ensuring alignment with enterprise A.I. program and resulting business objectives and priorities. Present AI initiatives, findings, and recommendations to executive leadership and stakeholders. Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. 10+ years of experience in AI solutions, machine learning, or data science, with a minimum of 5 years in a leadership role. Proven track record of successfully delivering AI solutions in a corporate environment. Strong understanding of AI technologies, frameworks, and tools (e.g., TensorFlow, PyTorch, etc.). Excellent leadership, communication, and interpersonal skills, with the ability to influence at all levels of the organization. Experience in managing large‑scale AI projects, including data acquisition, model development, and deployment. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus. Strong analytical and problem‑solving skills, with a data‑driven approach to decision‑making. Travel While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our #J-18808-Ljbffr Humana Inc