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Liberty Blume

AI Assurance Lead

Regulatory Compliance & EthicsUpdated on Nov 15
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A bachelor's degree or equivalent professional experience in a relevant discipline.
  • Strong understanding of artificial intelligence and machine learning concepts, model lifecycles, and Responsible AI principles.
  • Experience in AI governance, AI assurance, model validation, data science, or AI engineering environments.
  • Knowledge of AI regulations, standards, and frameworks, including ISO 42001, GDPR, the EU AI Act, NIST AI RMF, or similar.
  • Experience conducting risk assessments, compliance reviews, and Data Protection Impact Assessments.
  • Ability to manage stakeholders and collaborate effectively across technical and non-technical teams.
  • Ability to stay organised and manage multiple priorities and workstreams.
  • Strong analytical, risk assessment, and problem-solving skills.
  • Communication skills sufficient to influence and advise stakeholders at all levels.

Responsibilities

  • Lead the development and implementation of the organisation’s AI governance and assurance framework, ensuring alignment with key regulations, standards, and industry best practices.
  • Define and deliver Responsible AI strategies, governance models, and operating frameworks that support the safe and ethical use of AI across the business.
  • Partner with Product and Engineering teams to embed AI assurance, controls, and governance throughout the AI lifecycle, from design and development through to deployment and monitoring.
  • Assess and challenge AI systems, including generative and agentic AI solutions, to ensure they are safe, reliable, transparent, and aligned with organisational risk appetite.
  • Conduct AI risk assessments and assurance reviews covering data quality, lineage, governance, fairness, explainability, robustness, accuracy, and model performance.
  • Identify, evaluate, and mitigate AI-related risks, including model drift, bias, validation concerns, security vulnerabilities, third-party model risks, and autonomous system behaviours.
  • Lead data protection, supplier assurance, and governance reviews related to AI technologies and services.
  • Design and deliver AI governance policies, standards, training, and awareness initiatives across the organisation.
  • Promote risk awareness, accountability, and compliance to champion responsible AI adoption.
  • Monitor emerging AI regulations, industry developments, and best practices to keep the organisation aligned with evolving requirements.
  • Represent AI governance and assurance within cross-functional forums, providing expert guidance to stakeholders across technology, product, risk, and compliance teams.

Desired Qualifications

  • Experience delivering AI assurance, governance, or compliance programmes within a technology-led organisation.
  • Exposure to AI and machine learning deployments on major cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of risk management and information security frameworks, including ISO 31000, ISO 27001, or related standards.
  • Experience using governance, risk, and compliance platforms such as OneTrust, Vanta, or similar tools.
  • Research and analytical capabilities, with the ability to interpret emerging regulations and industry developments.
  • Ability to quickly understand complex technologies, products, and associated policy or regulatory considerations.
  • Ability to prioritise workload, manage competing demands, and deliver results in a fast-paced environment.
  • Comfort working within a growing, evolving business where adaptability and initiative are valued.
  • Understanding of the commercial, legal, and regulatory landscape surrounding AI, technology, and data governance.

About the Company

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