Manager, Data Science

Overview

What you can expect! Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, fine tuning, multimodal models), and drives measurable business outcomes.

Commitment to Quality:
The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

PerksIEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

Competitive salary

State of the art fitness center on-site Medical Insurance with Dental and Vision Life, short-term, and long-term disability options

Career advancement opportunities and professional development

Wellness programs that promote a healthy work-life balance

Flexible Spending Account – Health Care/Childcare

CalPERS retirement
457(b) option with a contribution match

Paid life insurance for employees

Pet care insurance

Key Responsibilities

Leadership & Strategy 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.

Technical & Delivery 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.

Innovation & Research Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate theirrelevance 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.

Qualifications

Education & Requirement

Required:

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…