Privacy Manager

Verint
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Business Development Manager (Staffing Solutions)

Business Development Manager (Staffing Solutions)

Senior Data Scientist (Hiring Immediately)

Head of AI Technology - AI Innovation Team - Head of Data Science & Data Software Engineering (Hiring Immediately)

Data Scientist (Hiring Immediately)

Director of Product - City of London

The Role

As a member of the Global Privacy Office reporting into the SVP Global Privacy who is UK based, the role will provide support and advice to all business units globally on matters privacy related and assist in continuing to develop Verint’s privacy practices and compliance. The position requires day-to-day contact with the business teams and senior management heading up key functions such as product engineering (including AI), Marketing and Legal with an exposure to privacy issues on a global basis supporting the regional Data Protection Officers (DPOs) - see the JD details the key responsibilities/key performance criteria which any candidate should have experience of and be able to be competent in.


Instructing and working with external counsel is a key element of the role where emerging laws impact Verint’s business requiring updates to policies or form agreements. The position will lead and provide training and awareness to other teams including the regional DPOs and global legal team members. Verint is a leading provider of AI solutions so exposure to the fast moving legal and compliance environment of the AI world including the EU AI Act is a large part of the role.


Some of your responsibilities:

  • Privacy Compliance and Monitoring (Assist in the implementation and monitoring of privacy policies, procedures, and practices to ensure compliance with laws such as GDPR, CCPA, HIPAA, and other relevant regulations)
  • Liaise with internal stakeholders as requested by SVP Global Privacy as necessary to further Verint’s Global Privacy initiatives.
  • Individual Rights Management
  • Data Governance:
  • Incident Response and Risk Management:
  • Documentation and Reporting (Maintain and update privacy documentation, including policies, notices, and agreements)


Essential:

  • Newly qualified solicitor or 1-3 years PQE with privacy experience OR a person with a legal degree who did not qualify as a solicitor but has a privacy role already and is CIPP/E qualified.
  • Familiarity with EU and UK GDPR, US HIPAA, CCPA, CPRA
  • Understanding of enterprise risk and compliance management frameworks such as NIST & ISO27001.
  • Management of Records of Processing Activities, Cookies and related privacy records using a privacy platform preferably OneTrust
  • Ability to conduct legal & other independent research using subscription services (e.g. MLEX, LEXIS NEXIS, OneTrust DataGuidance)
  • Understanding of Artificial Intelligence used in enterprise software (e.g. LLMs)
  • Working in law firm team with experience and subject matter expertise in privacy supporting international clients or working within large/global corporate environments involving multiple businesses across a matrix organization. Building and managing relationships at all levels of the organization.


Desirable:

  • IAPP – CIPP/A, CIPP/E and/or CIPM or equivalent

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.