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Senior Manager, AI Governance

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Sysco

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Location:
United States , Houston

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework
  • Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities
  • Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape
  • Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks
  • Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership
  • Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications
  • Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements

Requirements:

  • Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy
  • 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
  • Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse audiences

Nice to have:

Familiarity with bias detection and mitigation techniques is a plus

Additional Information:

Job Posted:
February 07, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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