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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Privacy Lead/Manager - **Company:** Virgin Media - **Location:** London, UK - **Experience:** Expert - **Salary:** £83,947.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analytics - **Published:** July 7, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5789987616 ## About the Role · Pragmatic Privacy Expertise: Experience providing risk-based, commercially focused privacy advice and designing effective controls in data-centric or large-scale digital organisations. · Product & Delivery Mindset Experience building or contributing to scalable capabilities, frameworks, or tooling (not just advisory). · Regulatory Knowledge: Strong understanding of GDPR, PECR, and other applicable privacy laws. Professional certifications such as CIPP/E, CIPM, or BCS Data Protection Practitioner are highly desirable. · AI Privacy Awareness: Understanding of privacy challenges related to AI and machine learning, including data minimisation, bias, transparency, and compliance. · Risk & Control Design Strong ability to translate risks into practical, proportionate, and implementable controls. · Cross-Functional Collaboration: Demonstrated success in partnering with technical and specialist teams across organisational boundaries to secure buy-in and deliver practical solutions. · Team-Oriented Leadership: Collaborative, inclusive, and committed to fostering a psychologically safe environment where diverse perspectives thrive. · Communication Excellence: Exceptional ability to simplify complex concepts and present to audiences with varying technical knowledge. · Technology & Ways of Working Experience working in agile environments and with cloud platforms (e.g. GCP) ## Description Privacy and Trust sit at the core of VMO2. Our mission is to enable the business to unlock the full value of data-safely, responsibly, and at pace. We are building a modern, embedded and product-led privacy function that goes beyond compliance to deliver scalable, automated capabilities that: * Enable fast, confident decision-making through pragmatic risk management * Embed privacy into products, platforms, and customer journeys by design * Replace manual processes with cloud-first, automated solutions * Drive consistent, reusable controls across data and technology ecosystems * Enhance customer trust through better privacy experiences About the Role This is not a traditional privacy/compliance role. This is a first-line, business-embedded role focused on enabling innovation by providing clear, pragmatic, risk-based advice and building scalable privacy solutions. This includes: * Act as a trusted advisor to product and business teams, helping them move fast while managing privacy and AI risks effectively * Help design and deliver product-led privacy capabilities that improve efficiency, automation, and consistency * Contribute to improving customer-facing privacy experiences and trust outcomes Key Responsibilities As a Privacy Lead, you will be accountable for: 1. Risk-Based Privacy and AI Enablement * Provide clear, commercially pragmatic privacy advice that enables delivery at pace * Support teams in identifying risks and designing proportionate, effective controls * Act as a decision enabler, balancing risk, customer impact, and business value 2. Product-Led Capability Development * Contribute to the design and evolution of scalable privacy capabilities (e.g. Privacy and AI Assessment tooling, risk frameworks and controls) * Apply a product mindset to privacy focusing on usability, adoption, and measurable impact * Identify opportunities to automate and streamline privacy and responsible AI processes 3. AI & Emerging Technology * Assess and advise on risks in AI and data-driven use cases * Support the development of responsible AI practices that are practical and business-aligned * Translate emerging regulatory expectations into implementable controls and guidance 4. Customer Trust & Experience * Help improve how privacy is experienced by customers across our journeys * Support initiatives that enhance transparency, control, and trust 5. Stakeholder & Delivery Partnership * Build strong relationships with Product, Security, Data, DPO and Legal teams * Embed privacy into delivery processes, platforms, and design decisions * Influence outcomes through credibility, pragmatism, and collaboration 6. Continuous Improvement & Innovation * Stay ahead of regulatory and technology developments, especially in AI * Drive ongoing maturity in privacy through innovation, automation, and simplification ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [ShapeShift: Reinventing Agile for a B2B SaaS Scale-Up](https://www.wearedevelopers.com/videos/1655-shapeshift-reinventing-agile-for-a-b2b-saas-scale-up) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Unlocking the potential of Digital & IT at Vodafone](https://www.wearedevelopers.com/videos/602-unlocking-the-potential-of-digital-it-at-vodafone) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges) - [UK Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/326-uk-business-culture-and-etiquette) - [Should AI be Regulated? 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