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About the Role
Develop and coach specialists, set and execute the privacy strategy, and modernise the operating model—shifting from reactive compliance to a product‑centric, tech‑enabled function. Design, build, operate and evidence privacy controls across journeys, platforms and products; embed privacy‑by‑design into epics, architecture reviews, DoR/DoD, SDLC and CI/CD through automated workflows and engineering guardrails.
Responsibilities
- Develop and implement data privacy policies, procedures and monitoring adherence.
- Identify and assess potential risks related to data privacy and implement mitigation measures.
- Develop and implement an effective incident response plan for data breaches and coordinate investigations.
- Provide data privacy training and awareness to employees.
- Identify areas for improvement and implement enhancements to the data privacy programme.
- Develop and implement Barclays Data Privacy strategy aligned with business objectives and regulatory requirements.
- Define and enforce data privacy policies and procedures.
- Partner with stakeholders to drive improvements in the understanding, use, and protection of personal data.
- Develop and maintain a comprehensive data privacy governance framework.
- Contribute or set strategy, drive requirements and make recommendations for change.
- Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches.
- Run a DPIA/TIA factory and own the ROPA.
- Implement PECR-compliant consent/e‑marketing and cookie governance.
- Manage international transfers (IDTA/SCCs with TRA/TIA) and data‑sharing/TPRM controls (incl. Open Banking).
- Drive discovery, classification and lineage.
- Deliver retention & defensible deletion.
- Partner with Security on encryption, access controls and DLP.
- Operate all data subject rights end‑to‑end.
- Modernise incident response with rehearsed runbooks and 72‑hour readiness.
- Own the privacy‑tooling roadmap (e.g., Purview/BigID/Collibra/OneTrust) and integration with data platforms.
- Establish controls for AI/ML across the model lifecycle aligned to Model Risk Management.
- Track regulatory/market trends, and translate them into actionable roadmaps with clear OKRs/KRIs and senior‑level reporting.
- Manage and mitigate risks through assessment, in support of the control and governance agenda.
- Demonstrate leadership and accountability for managing risk and strengthening controls.
- Demonstrate comprehensive understanding of the organisation functions to contribute to achieving business goals.
- Collaborate with other areas of work for business aligned support.
- Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
- Adopt and include the outcomes of extensive research in problem solving processes.
- Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders.
- Use influencing and negotiating skills to achieve outcomes.
Requirements
- Experience with applied expertise: comfortable rolling up sleeves (DPIAs, complex assessments, control design) and experience engaging executive stakeholders.
- Demonstrated success running a privacy backlog, prioritising risk/impact, and delivering increments with squads (Scrum/Kanban/Lean).
- Solid command of UK GDPR/DPA 2018, DPIAs/TIAs, international data transfers, records of processing, cookies/consent, children’s data, marketing and analytics in a banking context.
- Direct experience of leading AI and automation in data privacy (e.g., Purview/BigID/Collibra/OneTrust), cloud (Azure/GCP/AWS), modern data stacks (Databricks/Snowflake), and DevSecOps patterns.
- Familiarity with ISO 27701/27001 and understanding of the NIST Privacy Framework.
- Experience with Open Banking/PSD2, payments, identity, and customer data platforms/consent management.
- Exposure to Consumer Duty impacts on data use and personalization.
- Experience transforming privacy in a bank or large regulated financial services firm - moving from policy-led to product, data and engineering‑led ways of working.
- May be assessed on risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
Skills
- Data privacy
- Risk assessment and mitigation
- Incident response
- Employee training and awareness
- Policy development and implementation
- Strategy development
- Stakeholder management
- Governance framework development
- Agile delivery
- AI and automation in data privacy
- Cloud computing (Azure/GCP/AWS)
- Modern data stacks (Databricks/Snowflake)
- DevSecOps
- ISO 27701/27001
- NIST Privacy Framework
- Open Banking/PSD2
- Consumer Duty
- Risk and controls
- Change and transformation
- Business acumen
- Strategic thinking
- Digital and technology
Location
- London
- Manchester
- Northampton
Work Type
- Full-time
Experience Level
- Senior Manager
- Subject matter expert
- Leadership
Education Level
- CIPP/E
- CIPM
- CIPT Qualifications
About the Company
- Barclays is a global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management services.