Governance, Risk, and Compliance (GRC) Lead

Datamaze.ai; Dubai; Presencial; AED 240.000 - 360.000; Jornada completa

Descripción de la vacante

Datamaze.ai is seeking a Compliance & Privacy Engineer to analyze global data protection laws and embed privacy by design into AI/ML products. You will work with product and engineering teams to implement robust compliance frameworks, conduct risk assessments, and develop policies and training to ensure AI ethics and data protection.

Regular audits and clear documentation support ongoing governance across the product lifecycle.

Formación

• Bachelor's degree or equivalent experience in CS, data science, cybersecurity or law.

Responsabilidades

• Regulatory analysis review and interpret global data protection and privacy laws and their implications for AI/ML products.
• Collaborate with product teams to design and implement compliance frameworks in the development lifecycle.
• Conduct compliance risk assessments for products and features to identify mitigation needs.
• Develop and maintain compliance policies, processes and standards for data handling in AI/ML solutions.
• Work with engineers to embed privacy-by-design into product architecture and ensure regulatory compliance.
• Conduct regular audits of product features and processes to ensure ongoing compliance.
• Provide guidance and training to cross-functional teams on data protection and AI ethics requirements.
• Create and maintain documentation of compliance processes, findings and decisions.
• Act as liaison between legal, engineering and product teams to align on compliance goals.

Conocimientos

Regulatory analysis

Privacy by design

AI/ML concepts

Cross-functional collaboration

Analytical thinking

Educación

Bachelor's degree in Computer Science / Data Science / Cybersecurity / Law

Herramientas

OneTrust

TrustArc

Python

Java

AWS

Azure

GCP

Descripción del empleo

Key Responsibilities

• Regulatory Analysis Review and interpret global data protection and privacy laws e g GDPR CCPA HIPAA AI Act and their implications for AI ML and data science products
• Compliance Integration Collaborate with product teams to design and implement compliance frameworks into the product development lifecycle
• Risk Assessment Conduct compliance risk assessments for products and features identifying areas that require mitigation or redesign
• Policy Development Develop and maintain compliance policies processes and standards for handling data and building AI ML-driven solutions
• Privacy Engineering Work with engineers to embed privacy-by-design principles into product architecture and ensure compliance with applicable laws
• Audits and Reviews Conduct regular audits of product features and processes to ensure ongoing compliance with global regulations
• Training and Guidance Provide guidance and training to cross-functional teams on compliance requirements and best practices for data protection and AI ethics
• Documentation Create and maintain comprehensive documentation of compliance processes findings and product-related decisions
• Stakeholder Collaboration Act as a liaison between legal engineering and product teams to ensure alignment on compliance goals and initiatives

Education

Bachelor s degree in Computer Science, Data Science, Cybersecurity, Law, or a related field (or equivalent experience).

Technical Skills

• Understanding of global data protection laws such as GDPR, CCPA, and HIPAA, as well as AI-specific regulations like the EU AI Act.
• Familiarity with AI/ML concepts, tools, and platforms, and their implications for compliance.
• Experience in privacy engineering practices such as data minimization, pseudonymization, and differential privacy.
• Proficiency in tools for compliance and risk management (e.g., OneTrust, TrustArc) is a plus.
• Basic programming or scripting skills (e.g., Python, Java) to assess technical implementation of compliance requirements.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their compliance tools.

Experience

• 3 5 years of experience in a compliance, data protection, or privacy engineering role, ideally involving AI/ML and data science products.
• Hands-on experience integrating compliance frameworks into product development processes.
• Familiarity with conducting risk assessments for technology products.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills, with the ability to translate complex legal requirements into actionable product strategies.
• Ability to work collaboratively across diverse teams.
• Detail-oriented and organized, with the ability to manage multiple priorities.