Director, Responsible AI

Role Summary

Director, Responsible AI. Location: East Hanover, NJ (onsite only).

Responsibilities

• Create and implement frameworks to ensure AI systems are ethical, transparent, and aligned with organizational values and develop a Responsible AI review process to evaluate AI systems for fairness, accountability, and transparency.
• Establish end-to-end processes and procedures that AI use cases must follow to ensure responsible deployment and operation.
• Ensure governance controls are in place to uphold ethical standards and mitigate risks.
• Foster strong relationships with stakeholders across the organization to enhance oversight and awareness of responsible AI initiatives and collaborate with teams to integrate responsible AI principles into high-value projects.
• Develop and deliver training programs focused on responsible AI practices and principles.
• Promote adherence to responsible AI processes and procedures through change management initiatives and keep abreast of evolving AI regulations and guidelines to ensure responsible AI processes have appropriate checks and controls.
• Adapt frameworks and processes to comply with new standards and best practices.
• Partner with legal, compliance, DDIT, IDS Data Strategy, and Governance, and other teams to align on responsible AI governance and risk management approaches and work together to address ethical considerations in AI applications and use cases.
• Implement mechanisms to monitor the performance and ethical compliance of AI use cases.
• Develop contingency plans to address potential ethical failures or unintended consequences of AI deployments and ensure readiness to respond to and mitigate any issues that arise from AI systems.

Qualifications

• Minimum of 8+ years of experience in tech governance, risk management, or lead operational roles, preferably within the pharmaceutical or healthcare sectors
• Proven track record of developing and implementing AI governance frameworks and strategies
• Extensive project management experience, with the ability to define operational processes
• Strong understanding of AI technologies, machine learning, and data analytics
• Excellent leadership skills with the ability to manage cross-functional teams and drive organizational change
• Strong analytical and problem-solving skills, with the ability to assess and manage AI-related risks
• Ability to work in a dynamic, fast-paced, multifunctional team environment

Education

• Bachelor's degree in related field is required; Master of Science and/or MBA preferred