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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in privacy governance and operations, particularly in the context of AI/ML and clinical research. Proficient in translating regulatory requirements into automated privacy controls and embedding them within data products and engineering workflows.
Highest-signal resume keywords
Privacy GovernanceAI GovernanceData Subject Requests ManagementPrivacy Certification (CIPP/E, CIPM, CIPT)Operational Privacy Program Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Information GovernancePrivacy OperationsGenetic/Genomic ResearchPharmacogenomics (PGx)Automated Policy EnforcementPrivacy PrinciplesData GovernancePrivacy-By-DesignAI/ML Lifecycle ManagementRegulatory Compliance
Soft Skills
Stakeholder InfluenceWritten CommunicationVerbal CommunicationPresentation SkillsKnowledge Sharing
Tools & Technologies
Privacy-Enhancing TechnologiesGovernance ToolingData PipelinesDigital Health PlatformsAI-Enabled Initiatives
Certifications & Qualifications
CIPP/ECIPMCIPT
Industry Keywords
R&D PharmaceuticalBiotechnologyHealthcareClinical ResearchRegulated IndustriesReal-World EvidenceCross-Border Data TransferIncident ManagementData ProtectionPrivacy Strategy
About the role
Key responsibilities & impact- Coordinate daily activities related to data and AI/ML in GSK's R&D and CPO organizations
- Support the R&D and CPO privacy strategy and advance privacy-by-design principles
- Provide privacy guidance and subject matter expertise for clinical research, real-world evidence, scientific research, digital health, AI-enabled initiatives, and patient engagement
- Partner with business leaders to identify privacy considerations in data use, reuse, and system development
- Operationalise privacy requirements as a governance product supporting digital transformation
- Translate privacy policies into machine-readable, enforceable controls for consent, lawful basis, purpose limitation, retention, deletion, pseudonymisation, and access
- Embed privacy controls into platforms, pipelines, and data products
- Codify privacy-by-design into engineering workflows, automate checks, and establish privacy gates in AI/ML lifecycles
- Collaborate with Technology, Data Governance, and AI/ML engineering teams to make privacy controls testable, auditable, and adopted by default
- Define and communicate metrics for control coverage, automation rates, and residual privacy risk
- Advise on use and reuse of human biological samples and sensitive research data
- Support UK GDPR, EU GDPR, US data protection, cross-border data transfer, and other global privacy requirements
- Coordinate data gathering for individual rights requests
- Support privacy due diligence for new systems and services
- Provide privacy and data governance expertise for innovative AI/ML uses of personal data
- Monitor proper data use across R&D and CPO, including cross-border transfers
- Build partnerships across R&D, CPO, Privacy, Legal, Information Security, Risk, Compliance, and external partners
- Support privacy capability development through coaching, education, and knowledge sharing
Requirements
What you’ll need- Bachelor's degree in Information Governance, Privacy, Computer Science, Life Sciences, or related discipline; or equivalent experience
- Significant experience in information governance, AI Governance, and privacy operations related disciplines
- Hands-on experience in genetic/genomic research and pharmacogenomics (PGx)
- Experience managing operational privacy programmes, including data subject requests (IRRs), third party due diligence, and system privacy monitoring
- Experience operationalising privacy or data governance requirements as code, translating regulatory and policy requirements into automated, enforceable controls embedded in platforms, pipelines, or data products
- Working knowledge of privacy principles applicable to highly regulated environments
- Experience influencing stakeholders across a complex matrix organization
- Strong written, verbal, and presentation skills with the ability to explain complex concepts to non-specialist audiences
- Professional privacy certification such as CIPP/E, CIPM, CIPT, or equivalent preferred
- Experience in AI governance, responsible AI, and machine learning operations strongly preferred
- Familiarity with privacy-enhancing technologies and governance tooling for automated policy enforcement
- Experience within R&D pharmaceutical, biotechnology, healthcare, clinical research, or other regulated industries
- Experience supporting AI, advanced analytics, digital health, or innovative data-driven initiatives
- Knowledge of governance processes related to clinical trials, real-world evidence, and human biological samples
- Experience managing data subject/individual rights requests and supporting incident management
Benefits
Comp & perks- Agile working culture and flexibility options
- Equal opportunity employment
- Recruitment adjustments and support available for applicants who require them