Senior Consultant – Data Strategy, Governance & DataOps CYBER GATE DEFENSE L.L.C.

• Conduct Privacy Impact Assessments (PIAs) and Data Protection Impact Assessments (DPIAs), embedding privacy-by-design into analytics and AI workflows.
• Design and implement enterprise-wide data classification, lineage, and mapping frameworks that serve both compliance and analytics use cases.
• Analyse end-to-end data flows across M365, Azure, SaaS, and on-prem systems, identifying risks and opportunities for optimization.
• Develop and maintain Records of Processing Activities (RoPA) aligned with regulatory and business needs.
• Advise on secure data lifecycle management, including retention, archival, anonymization, and ethical data use.
• Collaborate with data engineering and analytics teams to align governance policies with DataOps practices such as data pipeline observability, CI/CD for data, and metadata management.
• Support the design of cloud-based data architectures (e.g., Azure Synapse, Purview, Data Factory) that integrate access control, quality monitoring, and privacy controls.
• Facilitate client workshops on data governance maturity, AI ethics, and DataOps adoption.
• Translate regulatory requirements into actionable technical and operational deliverables from policy to pipeline.
• Assist in incident response, breach analysis, and regulatory reporting with deep data context.
• Guide clients in building AI-ready data foundations where compliance enables not limits innovation.
• Bachelor’s degree in data science, Computer Science, Information Systems, Information Security, or a related field.
• 4–6 years of experience in data privacy, data governance, data architecture, analytics, or DataOps ideally in a consulting or regulated industry (financial services, healthcare, government, etc.).
• Demonstrated experience in data classification, lineage mapping, and cross-system data flow analysis.
• Strong working knowledge of GDPR, CCPA, ISO/IEC 27001 & 27701, and familiarity with UAE data protection frameworks (e.g., ADHICS, DIFC DP Law).
• Hands-on exposure to cloud data platforms (Microsoft Azure preferred), including tools like Purview, Synapse, Power BI, or Azure Data Factory.
• Understanding of DataOps principles: data pipeline automation, testing, monitoring, and versioning.
• Excellent communication, facilitation, and stakeholder management skills with the ability to explain technical concepts to legal, business, and executive audiences.

Preferred Certifications

• CIPP/E or CIPP/US (Certified Information Privacy Professional)
• CIPM (Certified Information Privacy Manager)
• ISO/IEC 27701 Lead Implementer or Auditor
• Microsoft Certified: Azure Data Engineer Associate or Azure Security Engineer Associate
• DAMA-DMBOK Foundation or CDMP (optional but valued)

Desirable Skills

• Experience delivering integrated data transformation programs that combine compliance, analytics, and engineering.
• Familiarity with AI governance, model risk management, or responsible AI frameworks.
• Exposure to infrastructure-as-code (IaC), DevOps pipelines, or data observability tools (e.g., Great Expectations, Monte Carlo).
• Ability to work across Microsoft 365 and Azure ecosystems with a security-first mindset.
• Fluency in Arabic is a plus, given the regional client base.