Manager, Information Technology Artificial Intelligence
Listed on 2026-01-26
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IT/Tech
AI Engineer, Data Science Manager
Overview
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Job Title: Manager, Information Technology Artificial Intelligence
Job Category: Management/Executive
Location: Los Angeles, CA, US, 90017
Position Type: Full Time
Requisition : 12758
Salary Range: $ (Min.) - $ (Mid.) - $ (Max.)
About L.A. Care: Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we ensure our members receive appropriate care at the right place and time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County s vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose.
Job SummaryThe Manager of Information Technology (IT) Artificial Intelligence (AI) oversees the development and implementation of AI solutions that drive operational efficiency, regulatory compliance, and member engagement across the health plan. This role leads a team of AI data engineers to ensure ethically deployed, secure AI models aligned with enterprise goals. The Manager collaborates with IT, compliance, and business stakeholders to identify automation opportunities and deliver scalable AI capabilities across claims, care management, and customer service platforms.
Responsibilities include hiring, supervising, coaching, training, disciplining, motivating direct reports, and participating in strategic planning and decision-making.
- Manage the design and deployment of AI/ML models for payer operations.
- Collaborate with compliance and security teams to ensure ethical AI use.
- Guide implementation of AI risk mitigation frameworks addressing data security, privacy, access control, explainability, model bias, and monitoring.
- Oversee AI integration into claims, care management, and member services.
- Drive backlog and strategic AI initiatives aligned with enterprise goals.
- Ensure AI solutions meet regulatory and audit requirements.
- Monitor AI model performance and retraining cycles.
- Develop documentation and governance for AI lifecycle management.
- Manage staff, including day-to-day activities, performance monitoring, mentoring, training, cross-training, and issue resolution; encourage process improvements.
- Manage complex projects, update key stakeholders, develop timelines, and ensure implementation upon approval.
- Responsible for reporting, budgeting, and policy implementation.
- Perform other duties as assigned.
Required: Bachelor s Degree in Computer Science or Related Field. In lieu of degree, equivalent education and/or experience may be considered.
Preferred: Master s Degree in Artificial Intelligence (AI)
ExperienceRequired:
- At least 8 years of experience in data/AI engineering.
- At least 5 years of experience in leading, supervising, and/or managing staff.
- Completion of the L.A. Care Management Certificate Training Program may substitute for supervisory/management experience.
- Experience managing Large Language Models (LLM)/GenAI projects including model selection, customization, prompt engineering, fine-tuning, and RAG from ideation through production deployment.
- Experience in healthcare data and regulatory environments.
- Experience leading teams, projects, initiatives, or cross-functional groups.
Preferred:
- Experience in health plan payer systems and regulatory compliance.
Required:
- Advanced skills in Python, ML frameworks (Tensor Flow, PyTorch), cloud platforms (Azure, AWS), data governance, Snowflake data cloud.
- Ability to lead and mentor technical teams.
- Strong interpersonal and leadership skills to foster teamwork and a positive work environment.
- Ability to set clear goals, develop strategic plans, and inspire others toward a shared vision.
- Skilled in mediating disputes and resolving conflicts constructively.
- Strong financial understanding, budgeting, forecasting, and resource allocation.
- Demonstrated ability to make informed decisions.
- Strong verbal, written communication and presentation skills.
- Understanding of industry dynamics and organizational…
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