Data Privacy Senior Specialist – AI

NTT
Johannesburg
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Integrity","Accountability","Risk-based thinking","Written communication","Stakeholder management"]

Lead privacy governance, privacy engineering, and compliance oversight for AI and emerging technologies across the organization. Advise globally on AI/GenAI/ML architectures, cloud deployments, and data processing ecosystems to embed Privacy by Design and secure data handling throughout the lifecycle. Partner with enterprise and security architecture, legal, and product engineering teams, define privacy architecture patterns and control frameworks, and support privacy assessments and DPIAs for products and services.

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FursaFursa
NTT
NTT
1 week ago

Data Privacy Senior Specialist – AI

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Last checked: 14 hours agoStatus: Live

Job Summary

Lead privacy governance, privacy engineering, and compliance oversight for AI and emerging technologies across the organization. Advise globally on AI/GenAI/ML architectures, cloud deployments, and data processing ecosystems to embed Privacy by Design and secure data handling throughout the lifecycle. Partner with enterprise and security architecture, legal, and product engineering teams, define privacy architecture patterns and control frameworks, and support privacy assessments and DPIAs for products and services.
Location: Johannesburg
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Act as the lead privacy advisor for AI, Generative AI, Machine Learning, and other emerging technology initiatives globally.
  • •Review and assess AI use cases across solution architectures, technical designs, cloud deployments, and data processing ecosystems from a privacy and regulatory compliance perspective.
  • •Partner with Enterprise Architecture and Information Security Architecture teams to establish AI privacy governance controls and privacy engineering standards.
  • •Define and maintain privacy architecture patterns, control frameworks, and design requirements for AI-enabled systems and services.
  • •Provide technical guidance on privacy-enhancing technologies and support privacy assessments to ensure Privacy by Design and compliance in client product and service offerings.

Key Requirements

  • •5+ years’ experience in Data Privacy, Information Security, Enterprise Architecture, Technology Risk, or related fields.
  • •Experience reviewing complex enterprise, cloud, or AI architectures, including AI use cases and data processing ecosystems.
  • •Strong understanding of cloud-native technologies, SaaS platforms, APIs, data integrations, and modern software delivery practices.
  • •Experience advising on AI, analytics, automation, or emerging technologies and engaging with cybersecurity, architecture, engineering, and product development teams.
  • •Experience conducting DPIAs and AI risk assessments (preferred).
Experience:5+ yearsAIMachine learningCloud-nativeSaaSData privacyInformation securityTechnology risk
Education:Bachelor's
Skills:IntegrityAccountabilityRisk-based thinkingWritten communicationStakeholder management
Certifications:CIPPCIPMCIPTAIGPCDPSE
Tech Stack:Artificial IntelligenceAIGenerative AIMachine LearningMLCloud platformsAPIsLLMsLarge language modelsFoundation modelsData processing ecosystemsVector databasesAutomationAnalyticsSaaS platformsData integrationsDPIADifferential privacyFederated learningAnonymisation

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn