Manager, Responsible AI Consultant (Risk, AI & Modelling) in London
Manager, Responsible AI Consultant (Risk, AI & Modelling)

Manager, Responsible AI Consultant (Risk, AI & Modelling) in London

London Full-Time 60000 - 75000 ÂŁ / year (est.) Home office (partial)
PricewaterhouseCoopers

At a Glance

  • Tasks: Lead projects ensuring AI is ethical, safe, and compliant while shaping trust in technology.
  • Company: Join PwC's rapidly growing Responsible AI practice in the UK.
  • Benefits: Flexible working, private medical cover, and six volunteering days a year.
  • Other info: Strong opportunities for rapid career progression in a high-profile practice.
  • Why this job: Make a real impact on how organisations adopt responsible AI and drive innovation.
  • Qualifications: 5+ years in consulting or tech with experience in AI governance and risk management.

The predicted salary is between 60000 - 75000 ÂŁ per year.

About the role:

PwC is rapidly scaling its market leading Responsible AI (RAI) practice in the UK as client demand accelerates across sectors. As a Manager in our RAI team, you will lead workstreams that help organisations design, build and deploy AI that is trusted, ethical and compliant. You will work at the intersection of emerging technology, risk management and regulation, supporting clients to operationalise AI governance, implement practical controls and embed “trust by design” across the AI lifecycle, including GenAI and agentic AI. This new role supports our growing practice and offers strong opportunities for rapid progression.

What your days will look like:

  • Lead RAI client engagements, supporting clients to establish governance, operating models, policies and controls for AI at scale.
  • Assess AI use cases and development practices to identify gaps (e.g., governance, bias/fairness, transparency, privacy, security) and recommend pragmatic improvements.
  • Translate Responsible AI principles and regulatory expectations into actionable delivery guidance across the AI and product lifecycle.
  • Produce or oversee key artefacts such as AI risk assessments, governance documentation, model testing outputs (bias/robustness/explainability), and evidence packs for assurance/audit.
  • Collaborate with data science, engineering and cyber teams to implement technical guardrails, monitoring and incident processes for AI systems (including GenAI).
  • Contribute to model evaluations and control design (e.g., explainability, robustness, fairness, human oversight, monitoring/observability).
  • Manage delivery quality, plan and run client workshops, and communicate complex AI risks and mitigations clearly to technical and non-technical stakeholders.
  • Contribute to a rapidly growing, high profile practice with strong opportunities for progression.

This role is for you if:

  • You have worked in consulting, technology, risk or transformation roles for 5+ years, with experience leading workstreams and managing stakeholders.
  • Experience supporting AI governance, model risk, data governance, compliance, assurance, or technology risk, ideally with exposure to Responsible AI concepts (fairness, transparency, accountability, privacy, safety).
  • Regulatory and standards awareness: Working knowledge of relevant regulation and frameworks (e.g., EU AI Act trajectory, GDPR, NIST AI RMF, ISO/IEC 42001).
  • Analytical problem solving: Comfortable working with technical topics and evidence (model documentation/testing, controls, monitoring), with strong structured thinking and attention to detail.
  • Communication: Strong written and verbal communication; able to translate technical issues into clear business implications and recommendations.
  • GenAI exposure: Familiarity with GenAI/LLM risks and mitigations (e.g., guardrails, prompt/design controls, monitoring, human-in-the-loop) is preferred.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Manager, Responsible AI Consultant (Risk, AI & Modelling) in London employer: PricewaterhouseCoopers

PwC is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of Responsible AI. With a strong commitment to employee growth, PwC provides ample opportunities for professional development, flexible working arrangements, and a comprehensive benefits package, including private medical cover and volunteering days. Join us in London to be part of a high-profile practice where your contributions will be recognised and rewarded, while you help shape the future of ethical AI.
PricewaterhouseCoopers

Contact Detail:

PricewaterhouseCoopers Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Manager, Responsible AI Consultant (Risk, AI & Modelling) in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI and risk management sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Showcase your expertise! Create a portfolio that highlights your experience with Responsible AI principles and governance. Share case studies or projects where you’ve made a difference. This will help you stand out when chatting with potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your communication skills. Be ready to explain complex AI risks and solutions in simple terms. Practice answering common interview questions related to AI governance and risk management to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us shape the future of Responsible AI. Keep an eye on our job postings and make sure your application stands out!

We think you need these skills to ace Manager, Responsible AI Consultant (Risk, AI & Modelling) in London

AI Governance
Risk Management
Regulatory Compliance
Data Governance
Analytical Problem Solving
Communication Skills
Stakeholder Management
Technical Documentation
Model Risk Assessment
Responsible AI Principles
GenAI Exposure
Attention to Detail
Structured Thinking
Collaboration with Technical Teams

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI governance and risk management. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!

Showcase Your Communication Skills: Since this role involves translating complex technical issues into clear business implications, it’s crucial to demonstrate your communication prowess. Use examples in your application that illustrate how you've effectively communicated with both technical and non-technical stakeholders.

Highlight Relevant Experience: We’re looking for someone with a solid background in consulting or technology roles. Be sure to emphasise your experience leading workstreams and managing stakeholders, especially in areas related to Responsible AI concepts like fairness and transparency.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our rapidly growing RAI practice.

How to prepare for a job interview at PricewaterhouseCoopers

✨Know Your Responsible AI Stuff

Make sure you brush up on the latest trends and regulations in Responsible AI. Familiarise yourself with frameworks like the EU AI Act and GDPR, as well as key concepts such as fairness, transparency, and accountability. This will help you demonstrate your expertise and show that you're ready to lead client engagements.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex AI-related challenges. Think about how you identified gaps in governance or compliance and what pragmatic improvements you recommended. This will highlight your analytical thinking and structured approach to problem-solving.

✨Communicate Clearly and Confidently

Practice translating technical jargon into clear business implications. You might be asked to explain complex AI risks to non-technical stakeholders, so being able to communicate effectively is crucial. Consider doing mock interviews with friends to refine your delivery.

✨Engage with the Team Dynamics

Since this role involves collaboration with various teams, be prepared to discuss how you've successfully managed stakeholder relationships in the past. Share examples of how you’ve facilitated workshops or communicated across different departments to implement AI governance and controls.

Manager, Responsible AI Consultant (Risk, AI & Modelling) in London
PricewaterhouseCoopers
Location: London

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