AI Governance Lead - Healthcare / Life Sciences

Merican Inc

  • Houston, TX
  • 4 days ago
  • $90,000 Per Year
  • Full-time
  • Employee

Highlights

Experience working with cross-functional teams including Data Science, Engineering, Cybersecurity, Legal, Compliance, Risk, and Business teams . Support governance of Generative AI and LLM-based applications , including risks associated with prompts, data, model outputs, and third-party AI solutions.

Numbers & Facts

LocationHouston, TX
Job TypeFull-time, Employee
Salary$0–$90,000 Per Year
HeadquartersHouston, TX, US

Description

AI Governance Lead Healthcare / Life Sciences

Location: HYBRID (Houston, TX )
Employment Type: Full-Time

Healthcare domain is a high priority for this position.

Key Responsibilities

  • Develop and implement AI Governance frameworks, policies, standards, and procedures across the organization.
  • Establish governance processes for AI, Machine Learning, and Generative AI use cases.
  • Evaluate AI solutions for privacy, security, bias, explainability, transparency, reliability, and regulatory compliance.
  • Establish controls for AI model development, deployment, monitoring, and ongoing management.
  • Support governance of Generative AI and LLM-based applications, including risks associated with prompts, data, model outputs, and third-party AI solutions.
  • Develop and maintain AI inventories, risk assessments, governance documentation, and model documentation.
  • Define processes for monitoring AI systems and identifying potential compliance, operational, ethical, and data risks.
  • Work with stakeholders to ensure appropriate handling of protected health information (PHI), personally identifiable information (PII), and sensitive healthcare data.

Required Qualifications

  • 7+ years of experience in AI Governance, Data Governance, Model Risk, Technology Risk, Compliance, Responsible AI, or a related field.
  • Strong Healthcare / Life Sciences / Pharma domain experience.
  • Hands-on understanding of AI/ML and Generative AI governance.
  • Strong knowledge of AI risk management, model governance, data privacy, security, and compliance.
  • Experience working with cross-functional teams including Data Science, Engineering, Cybersecurity, Legal, Compliance, Risk, and Business teams.

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