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Director of AI Governance
Job in
Spring, Harris County, Texas, 77391, USA
Listed on 2026-06-17
Listing for:
Hewlett Packard Enterprise
Full Time
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Security
Job Description & How to Apply Below
Job Summary
We are seeking a highly experienced and strategic‑minded Director of AI Governance to lead and oversee our organization's AI strategy, governance, and policy management. The Director of AI Governance will be responsible for managing the overall enterprise‑wide governance and rollout of AI initiatives, ensuring compliance with relevant regulations and policies, and building key partnerships with AI Ethics, Data Privacy, Cyber Security, and Compliance organizations.
The successful candidate will play a critical role in shaping our AI capabilities and ensuring responsible and ethical use of AI technologies across the organization.
- AI Strategy:
Develop and implement a comprehensive AI strategy aligned with the organization's goals and objectives. - AI Governance:
Establish and maintain enterprise‑wide AI governance frameworks, policies, and procedures to ensure responsible and ethical use of AI technologies. - AI/Data Policy Management and Rollout:
Develop and manage policies related to AI governance, ensuring their effective rollout and adherence across the organization. - AI Portfolio Management:
Oversee the management and optimization of the organization's AI portfolio, including assessing and prioritizing AI use cases based on strategic value, overall risk and business impact. - AI Use Case Prioritization:
Collaborate with business stakeholders to identify and prioritize AI use cases, considering factors such as feasibility, potential benefits, and ethical considerations. - Partnership Building:
Build and maintain key partnerships with AI Ethics, Data Privacy, Cyber Security, and Compliance organizations to ensure alignment and collaboration on AI‑related initiatives. - Compliance and Regulatory Requirements:
Stay updated on relevant regulations and compliance requirements related to AI and ensure the organization's AI practices align with these requirements. - Risk Management:
Identify and mitigate risks associated with AI initiatives, including data privacy, security, bias, and ethical considerations. - Stakeholder Engagement:
Collaborate with cross‑functional teams to ensure buy‑in and support for AI governance initiatives, including regular communication and training programs. - Industry Best Practices:
Stay abreast of industry trends and best practices in AI governance and recommend improvements to enhance the organization's AI capabilities. - Coordination with Key Business Stakeholders/Leader:
Collaborate with business units and global functions to understand their specific AI requirements and objectives. Work closely with them to develop and build out respective AI plans aligned with business strategies. - Compliance Management:
Ensure that AI initiatives and plans developed by business units and global functions comply with relevant regulations, policies, and ethical guidelines. Provide guidance and support in implementing compliance measures and controls. - Risk Assessment:
Conduct risk assessments for AI initiatives in collaboration with business units and global functions. Identify potential risks and develop mitigation strategies to ensure the responsible and ethical use of AI technologies. - Training and Awareness:
Develop and deliver training programs to educate business units and global functions on AI governance, compliance requirements, and best practices. Foster awareness and understanding of AI‑related risks and ethical considerations. - Monitoring and Reporting:
Establish processes to monitor the implementation and effectiveness of AI plans across business units and global functions. Generate regular reports to track compliance, identify areas for improvement, and provide updates to senior management. - Continuous Improvement:
Drive continuous improvement in AI governance and compliance practices by actively seeking feedback from business units and global functions. Identify opportunities for enhancing AI capabilities and ensuring alignment with organizational goals.
- Bachelor's degree in a relevant field (Computer Science, Data Science, Business, etc.) required. Master's degree preferred.
- Minimum of 8 years of experience in data governance, AI strategy, or related roles.
- Strong…
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