VP, AI Factory

GuideWell Source

Visionary leader overseeing the AI Factory's development and management to transform healthcare practices. Responsible for driving AI strategy and managing cross-functional teams in delivering AI solutions.

Posted 6/2/2026full-timeJacksonville • Florida • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaKerasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Co-Develop and execute a comprehensive AI strategy, aligned with organizational goals and objectives.
Collaborate with senior leadership to identify opportunities for AI-driven innovation and growth.
Lead cross-functional teams to identify business problems and develop AI-powered solutions.
Work with stakeholders to prioritize AI projects, ensuring alignment with business objectives and strategic priorities.
Work closely and collaborate with the technology organization to ensure solutions developed align with the business aspirations and can scale across the enterprise.
Build, lead, and manage a high-performing team to deploy and drive adoption of AI strategies across the organization.
Collaborate with external partners and vendors to leverage their expertise, technologies, and services to enhance the AI Factory.
Develop and implement AI governance policies, procedures, and standards to ensure compliance with regulatory requirements and organizational values.
Identify and mitigate AI-related risks, such as bias, data quality, and security - internally and with third parties.
Ensure the AI Factory infrastructure and operations meet the company's security and compliance standards, protecting sensitive data and AI models.
Develop and execute a deployment strategy to ensure AI solutions are integrated into business operations.
Drive adoption and usage of AI solutions across the organization, ensuring successful change management while coordinating closely with the Technology Organization.
Develop and track key performance indicators (KPIs) to measure the effectiveness and ROI of AI investments.
Analyze and report on AI solution performance, identifying areas for improvement.
Collaborate with data scientists and engineers within the Technology organization to develop, deploy, and manage AI models, ensuring seamless integration with business applications.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Healthcare Administration, or related field, or additional related work experience.
10+ years of experience in IT, AI, or data science, with 5+ years in a leadership role, preferably in a health plan or payer environment.
3+ years of experience with AI/ML experience in solution development, deployment, or adoption, preferably in a healthcare setting.
Proficiency in languages such as Python, R, SQL, and Java.
Experience with popular AI/ML frameworks, including TensorFlow, PyTorch, scikit-learn, and Keras.
Experience with cloud-based infrastructure and services, such as AWS, Azure, or Google Cloud.
Familiarity with data management principles, including data warehousing, data lakes, and data governance.
Understanding of IT infrastructure, including servers, storage, and networking.
Proven track record of building and leading high-performing teams, with experience in change management and organizational transformation.
Excellent communication and stakeholder management skills, with ability to communicate technical concepts to non-technical stakeholders.

Benefits

Comp & perks

Medical, dental, vision, life and global travel health insurance;
Income protection benefits: life insurance, short- and long-term disability programs;
Leave programs to support personal circumstances;
Retirement Savings Plan including employer match;
Paid time off, volunteer time off, 10 holidays and 2 well-being days;
Additional voluntary benefits available;
A comprehensive wellness program

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI strategyAI governanceAI/ML solution developmentPythonRSQLJavaTensorFlowPyTorchscikit-learn

Soft Skills

leadershipcollaborationchange managementstakeholder managementcommunicationteam buildingproblem solvinginnovationrisk mitigationperformance analysis