Senior Manager, AI Governance

Sysco

About The Position

Leads the responsible and ethical use of Artificial Intelligence across our organization. Responsible for the comprehensive implementation and continuous oversight of our AI governance framework. Ensure our AI systems operate within legal, ethical, and organizational guidelines, while also building trust and unlocking sustainable value from our AI investments.

Requirements

Education Required: Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy.
Experience Required: Seven (7) years in a governance-focused role, with a strong background in legal, compliance, or data governance.
Demonstrated ability to implement significant change projects, successfully integrating new governance practices into existing organizational structures.
Practical experience in building and managing comprehensive project and program plans, including defining scope, objectives, and resource requirements.
A track record of establishing a strong foundation for data quality and governance, treating data as a valuable organizational product.
Experience in AI risk management, including the ability to identify potential risks, establish mitigation plans, and integrate compliance measures.
Technical Acumen: A strong understanding of AI technologies and machine learning models, as well as their ethical implications.
Legal & Regulatory Expertise: Comprehensive knowledge of relevant laws and industry standards for AI ethics, data protection, and privacy (e.g., EU AI Act, NIST AI Risk Management Framework).
Leadership & Strategic Thinking: Demonstrated leadership skills with the ability to influence and drive organizational change. You can contribute to strategic direction and formulate recommendations for senior leadership.
Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse

Nice To Haves

Familiarity with bias detection and mitigation techniques is a plus.

Responsibilities

Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework. This includes designing and implementing detailed policies, guidelines, and documentation for responsible AI development and deployment.
Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities. You will build and execute robust risk mitigation strategies to protect our organization and customers.
Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape (e.g., EU AI Act, GDPR, NIST AI Risk Management Framework). You'll serve as a key partner to our Legal and Compliance teams, helping to draft contracts and ensure adherence to all relevant laws and standards.
Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks. You'll help us treat data as a strategic asset, maintaining consistency in policies and optimizing our data strategy for AI applications.
Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership. You'll serve as a crucial liaison, helping to bridge the gap between technical teams and business strategy.
Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications, tracking their purpose, data inputs, and risk profiles to ensure transparency and accountability.
Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements, helping to build a culture of responsible AI use.