Experience Required:

5 7 years of progressively responsible experience in management consulting, technology leadership, or healthcare operations.
Prior experience working with AI, advanced analytics, or machine learning initiatives in healthcare, insurance, or another highly regulated industry.
Exposure to AI governance frameworks, model risk management, or compliance-by-design approaches. By design approaches.
Demonstrated interest in responsible AI development and use, including through supplemental education and personal experimentation with AI tools.

Skill Requirements:

Strong understanding of AI solution delivery, including lifecycle management, intake, stage gates, validation, deployment, and monitoring.
Knowledge of AI ethics, privacy, security, and regulatory compliance, particularly within healthcare.
Familiarity with AI model monitoring, quality control, and performance assurance practices.
Experience collaborating with AI foundry, platform, or engineering teams on controlled releases.
Excellent cross-functional communication, facilitation, and stakeholder management skills. Functional communication, facilitation, and stakeholder management skills.
Experience working in agile and waterfall delivery models.
Foundational understanding of generative AI, machine learning, large language models (LLMs), multimodal models, and agentic AI solutions.
Experience with process orchestration through SaaS CRM platforms (i.e. Salesforce, ServiceNow, etc.).

Regards,

Raj Dakshinapu | Recruiter, Dotcom Team LLC

Phone:

Web: | Email:

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Healthcare Project/ Program Manager-"Business Operations"

Key skills