At a Glance
- Tasks: Support safe AI use by ensuring data protection and compliance across projects.
- Company: Join a leading financial services firm committed to ethical AI practices.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and ethical technology practices.
- Why this job: Make a real difference in the responsible use of AI while shaping industry standards.
- Qualifications: Experience in AI governance, data protection, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Play a key role in supporting the safe, lawful and responsible use of artificial intelligence across Standard Life. Ensure data protection requirements are appropriately considered, embedded and evidenced as AI use cases are designed, approved and operated under the AI Governance Framework. Provide expert advice and challenge on data protection risks associated with AI, including the use of personal data, automated decision-making, transparency, fairness and accountability. Support the business to implement proportionate controls that enable innovation while meeting regulatory and ethical expectations. Advise on data protection considerations for AI use cases, supporting DPIAs and related assessments, contributing to AI use case reviews through the AI Review Board and other governance forums. Maintain relevant data protection governance artefacts, registers and guidance aligned to AI activity. Support the ongoing development of AI-specific data protection guidance and awareness, helping colleagues understand their responsibilities and promoting consistent, compliant practices across the organisation.
Requirements
- Experience working in an AI governance or risk, compliance or oversight role within a regulated environment.
- Familiarity with external AI frameworks or regulatory guidance such as ISO 42001, NIST AI RMF, EU AI Act, industry standards or ethics principles relating to technology, data or AI.
- Knowledge of artificial intelligence concepts and risks, for example model risk, bias, transparency, data usage or automation, gained through governance, risk or oversight work rather than technical development.
- Strong understanding of data protection principles and requirements, including UK GDPR, Data Protection Act, and concepts such as lawful basis, data minimisation, transparency, accountability and individual rights.
- Experience advising on data protection risks in change initiatives, technology delivery or complex data use cases, with the ability to provide clear, practical guidance.
- Experience producing clear written outputs such as DPIAs, governance papers, guidance or management information.
