Negotiable
Outside
Hybrid
London Area, United Kingdom
Summary: The Data Ring-Fencing Analyst will join a global cyber security organization to lead the technical implementation of a global privacy strategy within the Enterprise Security Governance, Risk, and Compliance (GRC) team. This role focuses on designing and implementing safeguards for sensitive data, ensuring compliance with regulations like GDPR and CCPA, and bridging legal requirements with technical execution. The analyst will also be responsible for creating a comprehensive Data Ring-Fencing control framework and collaborating with various teams to embed privacy controls into system architecture. The position offers an opportunity to lead a high-visibility privacy engineering function in a hybrid working environment.
Key Responsibilities:
- Lead the creation and rollout of a comprehensive Data Ring-Fencing control framework.
- Define and enforce logical and physical separation protocols for high-sensitivity data environments (PII, PCI, and Intellectual Property).
- Establish protocols for “Data Clean Rooms” and secure sharing pathways, enabling data analysis without compromising privacy or increasing exposure risk.
- Oversee the integration of micro-segmentation, Identity & Access Management (IAM), and granular access controls.
- Collaborate with DevOps and Engineering teams to embed automated privacy controls into system architecture and CI/CD data pipelines.
- Implement and manage technical safeguards such as salting, hashing, tokenization, and differential privacy.
- Establish and chair a dedicated Ring-Fencing Governance Board to monitor control adherence and adjudicate exception requests.
- Create “Enforcement Blueprints,” audit templates, and evidence logs to support internal reviews and external certifications (SOC2, ISO 27001, etc.).
- Maintain the “Control Rationale” registry, documenting how technical configurations map to global legal requirements.
- Develop role-specific training for developers and data scientists on “Safe Zone” protocols and data handling standards.
Key Skills:
- Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field.
- 3+ years’ experience in Privacy Engineering, Data Security, or Cloud Infrastructure Security.
- Familiarity with cybersecurity, threat intelligence, or “Dark Web” monitoring solutions highly preferred.
- Demonstrated expertise in privacy-preserving technologies, with relevant certifications advantageous (e.g., IAPP CIPT/CIPM, CISSP, or CISM).
- Deep understanding of GDPR, CCPA, and the technical implications of data residency/sovereignty.
- Exceptional written communication skills, with the ability to translate complex privacy engineering concepts for Legal, Product, and Engineering stakeholders.
- Experience with Cloud Service Providers (AWS/Azure/GCP) and their native identity/segmentation tools advantageous.
- Knowledge of Zero Trust Architecture (ZTA) and Data Loss Prevention (DLP) technologies advantageous.
- Experience with data orchestration and pipeline tools (e.g., Snowflake, Airflow, or Databricks) advantageous.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Robert Half have partnered with a global cyber security organisation to recruit for a Data Ring-Fencing Analyst to join the Enterprise Security Governance, Risk, and Compliance (GRC) team, leading the technical implementation of the organisation’s global privacy strategy. This role is responsible for designing and implementing technological safeguards that protect sensitive data and ensure compliance with global regulations, including GDPR, CCPA/CPRA, and emerging data sovereignty laws. You will act as the bridge between Legal/Privacy requirements and technical execution, ensuring data processing environments are strictly partitioned and resilient - and will be expected to build “Privacy by Design” into the customer experience journey.
Responsibilities:
- Lead the creation and rollout of a comprehensive Data Ring-Fencing control framework.
- Define and enforce logical and physical separation protocols for high-sensitivity data environments (PII, PCI, and Intellectual Property).
- Establish protocols for “Data Clean Rooms” and secure sharing pathways, enabling data analysis without compromising privacy or increasing exposure risk.
- Oversee the integration of micro-segmentation, Identity & Access Management (IAM), and granular access controls.
- Collaborate with DevOps and Engineering teams to embed automated privacy controls into system architecture and CI/CD data pipelines.
- Implement and manage technical safeguards such as salting, hashing, tokenization, and differential privacy.
- Establish and chair a dedicated Ring-Fencing Governance Board to monitor control adherence and adjudicate exception requests.
- Create “Enforcement Blueprints,” audit templates, and evidence logs to support internal reviews and external certifications (SOC2, ISO 27001, etc.).
- Maintain the “Control Rationale” registry, documenting how technical configurations map to global legal requirements.
- Develop role-specific training for developers and data scientists on “Safe Zone” protocols and data handling standards.
Experience:
- Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field.
- 3+ years’ experience in Privacy Engineering, Data Security, or Cloud Infrastructure Security.
- Familiarity with cybersecurity, threat intelligence, or “Dark Web” monitoring solutions highly preferred.
- Demonstrated expertise in privacy-preserving technologies, with relevant certifications advantageous (e.g., IAPP CIPT/CIPM, CISSP, or CISM).
- Deep understanding of GDPR, CCPA, and the technical implications of data residency/sovereignty.
- Exceptional written communication skills, with the ability to translate complex privacy engineering concepts for Legal, Product, and Engineering stakeholders.
- Experience with Cloud Service Providers (AWS/Azure/GCP) and their native identity/segmentation tools advantageous.
- Knowledge of Zero Trust Architecture (ZTA) and Data Loss Prevention (DLP) technologies advantageous.
- Experience with data orchestration and pipeline tools (e.g., Snowflake, Airflow, or Databricks) advantageous.
Organisation: Enterprise Security Governance, Risk, and Compliance (GRC) team. Reporting to the Governance & Risk Manager. Opportunity to lead a newly established, high-visibility privacy engineering function. London Based - Hybrid working Day Rate - Outside IR35