VP AI Factory

Key Responsibilities

• 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.
• Collaborate with external partners and vendors to leverage their expertise, technologies, and services to enhance the AI Factory.
• Build, lead, and manage a high-performing team to deploy and drive adoption of AI strategies across the organization.
• 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.

Key Requirements

• 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.

Preferred

• Master's degree
• Deep understanding of the healthcare industry, including health plans, payers, and providers.
• Experience with healthcare IT systems, including EHRs, claims processing, and care management.
• Experience with cloud-based AI solutions, including AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.
• Experience with data science tools, including Jupyter Notebooks, Apache Spark, or Hadoop.