About this role
At CFC, technology is at the heart of everything we do. We are looking for a Lead Security Engineer (Data) to design and deliver data protection across CFC's systems, products and ways of working. This is an individual contributor leader role for an engineer who solves complex, cross-functional problems and turns security and privacy requirements into effective technical controls. You will work with engineering, data, privacy and the business to create reusable patterns, policy-as-code, implement and automate controls, diagnose weaknesses and ensure data protection remains effective as our technology environment evolves. In this role, you will: Design, implement and operate data discovery, classification and loss-prevention controls across CFC's stores, and record coverage in the control register. Create reusable patterns for encryption, masking and secure disposal, and publish them as standards for new systems. Implement data-loss-prevention policy-as-code for email, endpoints and cloud stores, and record the test results for each rule change. Diagnose insider and data-loss incidents to root cause, implement the control to prevent recurrence, and document both in the incident report. Preserve and prepare digital evidence for insider, data-loss and sensitive investigations, maintaining chain of custody and applying recognised digital evidence principles. Lead cross-functional data-protection design reviews for new products and record the decisions as standards. Design technical guardrails for data handling, including generative AI tools, and publish the guardrail catalogue in the standard. Build security metrics for classification coverage, loss-prevention events and encryption of sensitive stores, and publish them to data owners. Advise the security function on data-protection exceptions and record each decision in the risk register. Lead cross-functional data privacy and security design and threat-modelling activities, translating identified risks into layered, prioritised engineering improvements. Design and implement automation for privacy and security policies and guardrails across workflows and endpoints, including use of AI augmentation. Be the technical authority on data privacy and security, advising teams on complex privacy and security architecture and right-sizing controls.