Data Protection & AI Governance Consultant

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Worldwide Events GroupEvents and travel
Workable workplace: remote; Workable locations: London, England, United KingdomContract
Salary not disclosed
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Job Details

Required Skills
SalesforceGenerative AI

Requirements

  • Hold a relevant professional data protection or privacy qualification, supported by substantial practical experience.
  • Bring expertise in data protection and privacy governance, including independently assessing current arrangements and recommending proportionate improvements.
  • Have experience working with businesses that operate globally and understand international data protection considerations.
  • Have practical expertise in Microsoft 365 and Copilot, including their data protection, privacy, and AI governance considerations.
  • Have expertise in AI governance, including generative AI, third-party AI tools, enterprise integrations, and internally developed AI agents.
  • Have experience reviewing how processes work in practice and turning findings into usable processes and guidance.
  • Be able to translate technically or legally complex subjects into clear, pragmatic guidance.
  • Take a practical, enabling approach to governance and develop sensible guardrails.
  • Be able to lead independently, challenge where needed, and form an independent professional view.
  • Work comfortably with technical and non-technical stakeholders.
  • Experience considering privacy and governance across enterprise platforms such as Salesforce is beneficial.

Responsibilities

  • Conduct an independent current-state assessment of data protection and AI governance arrangements.
  • Identify immediate and priority gaps and develop a prioritized remediation plan.
  • Review policies, procedures, privacy documentation, tools registers, AI assessments, and DPIA approaches.
  • Review how data protection and AI governance work in practice across the business.
  • Establish a practical governance process for third-party technology and AI tools, Microsoft 365 and Copilot, integrations, and internally developed AI agents.
  • Create proportionate approaches to assessment, approval, documentation, and escalation.
  • Provide an independent conclusion on whether a formal DPO is legally required and recommend an ongoing governance model.
  • Test the governance approach against real-world use cases.
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