VP AI Factory

Florida Blue
3h

About The Position

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).

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.

Nice To Haves

  • 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.

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.

Benefits

  • 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; and
  • A comprehensive wellness program
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