Data Privacy Senior Specialist – AI

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 in terms of 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 privacy for AI governance controls and privacy engineering standards.
• Define and maintain privacy architecture patterns, control frameworks, and design requirements for AI-enabled systems and services.
• Assess privacy risks associated with Large Language Models (LLMs), foundation models, model training datasets, prompts, embeddings, vector databases, and AI integrations, amongst others.
• Work with product teams to define appropriate controls to support and enforce the principles of data privacy by default and by design in our business processes, applications, systems, databases, and products, services and solutions.
• Perform privacy assessments of NTT DATA, Inc. Group products and services to ensure that Data Privacy by Design principles and compliance requirements are embedded within client product and service offerings. This includes providing technical advice on privacy control design and implementation, as well as supporting the creation of go-to-market collateral to support bid and sales processes.
• Provide technical guidance on privacy-enhancing technologies (PETs), anonymisation, pseudonymisation, encryption, tokenisation, differential privacy, federated learning, and secure AI design practices in the product development lifecycle, as well as new technology acquisition process.
   

Knowledge and Attributes:

• Strong understanding of AI technologies, Generative AI, Machine Learning concepts, cloud platforms, APIs, and enterprise architectures.
• Strong understanding of privacy engineering and Privacy by Design principles.
• Ability to assess complex technical architectures and identify privacy, ethical, and regulatory risks.
• Experience engaging with architects, engineers, developers, cybersecurity teams, and executive stakeholders.
• Pragmatic and commercially aware approach to balancing innovation and regulatory compliance.
• Operates with high levels of integrity, accountability, and professionalism.
• Demonstrates accuracy, thoroughness, and high levels of attention to detail.
• Demonstrates a pragmatic and risk-based approach to data privacy and protection.
• Excellent written and verbal communication skills.
• Ability to thrive under pressure, function and deliver effectively in a fast-paced environment.
• Ability to work well in a collaborative and multi-disciplinary team environment.
• Strong stakeholder management skills.
• Broad knowledge of data protection laws and regulations that apply to the organization and how to implement these (preferred).
   

Academic Qualifications and Certifications:

• Bachelor’s degree or appropriate qualification
• CIPP, CIPM, CIPT, AIGP and/or CDPSE (preferred)
   

Required experience:

• 5+ years’ experience in Data Privacy, Information Security, Enterprise Architecture, Technology Risk, or related fields.
• Experience reviewing complex enterprise, cloud, or AI architectures.
• Experience advising on AI, analytics, automation, or emerging technologies.
• Strong understanding of cloud-native technologies, SaaS platforms, APIs, data integrations, and modern software delivery practices.
• Experience engaging with cybersecurity, architecture, engineering, and product development teams.
• Experience conducting DPIAs, and AI risk assessments. (preferred).
• Experience working with multinational organisations and global regulatory environments. (preferred).
• Experience in telecommunications, technology, cloud, digital services, or professional services environments (preferred).