VP AI Factory

Job Description

We are seeking an experienced and visionary leader to oversee the development, deployment, and management of our AI Factory, a critical infrastructure that enables the company to unlock value from data and transform healthcare practices through artificial intelligence (AI). The successful candidate will be responsible for designing, building, and operating a scalable and efficient AI Factory that supports the company's AI strategy, ensuring seamless execution of the AI life cycle.

This is a cross-functional role responsible for driving the identification, working with the Technology organization in development, and deployment of AI solutions across our health plan organization. This high-visibility position will play a critical role in guiding and transforming our organization through AI-powered innovation, ensuring strategic alignment, and delivering measurable return on investment (ROI).

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

• 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.

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 Tensor Flow, 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…