Privacy Lead/Manager

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

· 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)