Ubique Systems
AI Governance Lead
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AI Governance Lead
📍 Location: Macclesfield/Luton, UK (Hybrid)
📄 Contract Opportunity
We are currently seeking an experienced AI Governance Lead to establish and drive an enterprise-wide AI Governance framework. This role will act as the key bridge between Data Science, Engineering, Legal, Compliance, Risk, and Business teams to ensure that AI and Machine Learning solutions, including Generative AI initiatives, are developed and deployed responsibly, ethically, and in line with evolving global regulations.
Key Responsibilities:
- Define and execute the organization's Responsible AI strategy and governance roadmap.
- Develop policies, standards, and frameworks covering AI ethics, transparency, fairness, accountability, and data privacy.
- Ensure compliance with regulations such as the EU AI Act, GDPR, NIST AI Risk Management Framework, FTC guidelines, and other applicable standards.
- Lead AI risk assessments and establish controls to mitigate risks including bias, hallucinations, explainability, data lineage, and intellectual property concerns.
- Conduct AI impact assessments and model risk reviews prior to deployment.
- Define and monitor KPIs related to AI model health, fairness, safety, and governance compliance.
- Partner with Engineering and Data Science teams to embed governance and privacy-by-design principles into MLOps processes.
- Act as the SME for AI Governance across executive leadership, Legal, Information Security, and Privacy functions.
- Chair or support internal AI Governance committees and review high-risk AI use cases.
- Drive awareness and training initiatives to foster a culture of responsible AI adoption.
- Maintain an enterprise-wide inventory of AI/ML models and associated risk profiles.
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Required Experience:
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- Bachelor's or Master's degree in Computer Science, Data Science, Risk Management, or a related discipline.
- 12+ years of experience in Data Governance, Risk Management, Compliance, or Data Science.
- Minimum 6 years of dedicated experience in AI/ML Governance, Responsible AI, or AI Ethics.
- Strong knowledge of global AI and data regulations including EU AI Act, GDPR, and NIST AI RMF.
- Solid understanding of AI/ML lifecycle, MLOps practices, Large Language Models (LLMs), and Generative AI technologies.
- Excellent stakeholder management and communication skills with the ability to translate technical concepts into business and regulatory requirements.
If you have a strong background in Responsible AI, AI Risk Management, and Governance frameworks and are looking to shape enterprise AI strategy, we'd love to hear from you.
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