VP, AI & Data Risk Governance in London

VP, AI & Data Risk Governance in London

London Full-Time 80000 - 120000 £ / year (est.) No working from home possible
Aumni

At a Glance

  • Tasks: Lead the Data & AI risk governance programme and support innovative AI initiatives.
  • Company: Join a diverse and inclusive global workforce at a leading financial institution.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Embrace a dynamic work environment with a focus on diversity and inclusion.
  • Why this job: Make a real impact in data and AI risk management while driving innovation.
  • Qualifications: Strong communication, program management, and analytical skills required.

The predicted salary is between 80000 - 120000 £ per year.

Join the Data & AI CCOR team that oversees the management and governance of data, privacy and AI risks at the enterprise level and partners closely with CCOR coverage officers across all lines of business, corporate functions, legal entities, and regions. The Data & AI CCOR team supports the Firmwide Chief Data and Analytics Office (FCDAO) to drive consistent risk management practices and sets minimum requirements for the first line’s identification, management, reporting, and escalation of data, privacy and AI risks, enabling effective second line oversight of operational and compliance risks in accordance with the CCOR framework.

As a Vice President within the Data & AI CCOR team, you will support the Data and AI CCOR regional and horizontal (line of business/corporate function) program. Responsibilities include:

  • Supporting line of business and functional CCOR teams to maintain CCOR skill levels.
  • Overseeing testing programs.
  • Owning and managing governance.
  • Supporting regulatory engagements and senior level internal reporting.

The ideal candidate combines strong program management and stakeholder engagement skills with regulatory knowledge and/or technical data analytics and AI expertise.

Job Responsibilities

  • Lead and support the maintenance of the Data and AI CCOR Program across the line of business (LOB), corporate functional (CF) and regional programs covering Data, Privacy, and AI risk.
  • Support the oversight of the Chief Data and Analytics Office (CDAO) for LOB/CF and regional teams.
  • Establish, own and maintain the cross LOB/CF and regional governance model to provide connectivity with the firmwide Data and AI CCOR teams.
  • Support curated training programs to enhance employee awareness of Data, Privacy and AI obligations.
  • Develop data insights through innovative use of AI tools – be a champion of AI innovation in the team.
  • Maintain expert knowledge of current and future Data, Privacy and AI regulations.
  • Build and maintain strong relationships with business, control, and operational risk teams across the organization.
  • Support the CDAO and CCOR in regulatory exams and internal audits, as required.
  • Deliver senior management reporting executed via AI tool streamlining.

Required Qualifications, Capabilities, and Skills

  • Effective communicator with strong verbal and written skills; ability to synthesize and present to senior audiences.
  • Proven program and stakeholder management; operates independently and drives results across complex environments.
  • Strong analytical and problem-solving skills; relevant experience in Data and/or AI risk management.
  • Experience in leading complex programs and delivering results.
  • Understanding of AI/ML lifecycle & model governance: familiar with end‑to‑end workflows from features to deployment/MLOps with robust documentation and validation.

Preferred Qualifications, Capabilities, and Skills

  • Knowledge of data architecture & governance strongly preferred; enterprise data design and controls (lineage, metadata, data quality) with privacy‑by‑design.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

VP, AI & Data Risk Governance in London employer: Aumni

As a leading employer in the financial services sector, we pride ourselves on fostering a dynamic work culture that champions diversity and inclusion, ensuring every voice is heard. Our commitment to employee growth is evident through tailored training programmes and opportunities to engage with cutting-edge AI technologies, making this role not just a job, but a pathway to meaningful career advancement. Located in a vibrant city, our office provides a collaborative environment where innovative ideas thrive, empowering you to make a significant impact in the realm of data and AI risk governance.

Aumni

Contact Details:

Aumni Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land VP, AI & Data Risk Governance in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in data and AI risk governance. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience in program management and stakeholder engagement. This is your chance to demonstrate how you can drive results in complex environments.

Tip Number 3

Stay updated on regulations! Make sure you're well-versed in current and upcoming data, privacy, and AI regulations. This knowledge will not only impress interviewers but also show that you're serious about the role.

Tip Number 4

Apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it gives you a better chance to stand out in the crowd!

We think you need these skills to ace VP, AI & Data Risk Governance in London

Program Management
Stakeholder Engagement
Regulatory Knowledge
Technical Data Analytics
AI Expertise
Data Risk Management
Analytical Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data, privacy, and AI risk management. We want to see how your skills align with the responsibilities outlined in the job description.

Showcase Your Communication Skills:As effective communication is key for this role, ensure your written application reflects your ability to synthesise complex information clearly. Use concise language and structure your thoughts logically to impress us.

Highlight Relevant Experience:Don’t forget to emphasise your program management and stakeholder engagement experience. We’re looking for candidates who can operate independently and drive results, so share specific examples of your past successes.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Aumni

Know Your Stuff

Make sure you brush up on the latest Data, Privacy, and AI regulations. Being able to discuss current trends and how they impact risk governance will show that you're not just knowledgeable but also passionate about the field.

Showcase Your Communication Skills

As an effective communicator, you’ll need to demonstrate your ability to present complex information clearly. Prepare examples of how you've successfully communicated with senior audiences in the past, especially in high-stakes situations.

Highlight Your Program Management Experience

Be ready to discuss specific programs you've led, focusing on your stakeholder management skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses and illustrate your impact.

Demonstrate Analytical Thinking

Prepare to tackle some hypothetical scenarios related to Data and AI risk management. Show how you approach problem-solving and decision-making, particularly in complex environments, to highlight your analytical prowess.