Data, Privacy & AI Security Consultant
Job Description
Role: Data, Privacy & AI Security Consultant Location: London Level: Associate Manager, Consultant or Senior Analyst Salary: Competitive Salary & Package (Dependent on Experience) Please Note:Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement As a Team: We are a specialist Data Security and Quantum Security practice, helping organisations translate regulatory, policy and standards‑based requirements into practical, scalable technical controls. Our work spans the full lifecycle, from interpreting industry standards and emerging quantum and AI guidance, through to designing and implementing real‑world security architectures that work across complex enterprise environments. You’ll work at the intersection of data security, policy, engineering and architecture, contributing to:- Data security and privacy strategy
- Standards and regulatory evaluation (e.g. GDPR, data governance frameworks, cryptographic, AI and security standards)
- Technical transposition into controls, platforms and operating models
- Development of new service offerings, vendor relationships and propositions
- Solution shaping and client engagement
- Lead data security discovery across M365, SaaS, cloud platforms, and AI/ML workflows, identifying sensitive data locations, access patterns and exposure paths.
- Analyse data flows and egress channels to understand how data is created, shared and exfiltrated across collaboration tools, endpoints, email, web and AI systems.
- Assess the effectiveness of data privacy operations, identifying gaps in coverage, enforcement and operational maturity.
- Evaluate cryptographic usage and dependencies, including encryption at rest and in transit, key management practices and emerging cryptographic risk
- Define end‑to‑end data security and privacy architectures integrating tools to protect data and support privacy.
- Inventory cryptographic controls across data platforms, aligning encryption and key management patterns with enterprise security architecture.
- Define AI security controls and guardrails, including protections around data ingestion, prompt and output handling, monitoring and prevention of sensitive data leakage into AI systems.
- Translate policy, standards and risk requirements into scalable technical designs that can be implemented and operated effectively.
- Develop and mature data security operating models, including runbooks, tuning approaches, incident response integration and continuous improvement loops.
- Support implementation, tuning and optimisation of information protection, DLP, DSPM and privacy controls, ensuring measurable risk reduction.
- Contribute to pre‑sales and solution shaping, supporting client workshops, technical designs, proposals and the development of new data security, quantum and AI security offerings.
- Help tailor solutions across sectors, adapting core data security capabilities to different threat models and operational environments.
- 5+ years’ experience in data security, privacy, cryptography, and AI.
- Strong hands‑on experience securing Microsoft 365, including classification, labelling, IRM and DLP.
- Experience with DSPM or Privacy automation capabilities, like Securiti.ai.
- Working knowledge of AI security risks and governance and cryptography and key management.
- Ability to translate policy and standards into technical enforcement.
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