Lead and mentor a team of data scientists, ML engineers, and AI specialists.
Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
Partner with business and technology stakeholders to identify AI use cases that create measurable value.
Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
Ensure scalability and performance of AI solutions within enterprise data platforms.
Collaborate with data engineering to optimize data pipelines for AI workloads.
Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate their relevance and application.
Foster a culture of experimentation, rapid prototyping, and “fail-fast and pivot” approaches.
Hire, train, and manage support staff, while monitoring and evaluating outcomes.
Conduct performance reviews of each team Member within IEHP guidelines.
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
Proven track record in leading AI/ML projects from conception to production
Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
Exposure to multimodal AI (text, image, audio, video) applications
Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

Manager, Data Science

Key skills