AI Manager

AI Manager

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Visa

At a Glance

  • Tasks: Lead AI-driven finance improvements and streamline processes using cutting-edge technology.
  • Company: Join Visa, a global leader in payments technology with a mission to uplift everyone.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic hybrid role with excellent career advancement potential.
  • Why this job: Make a real impact on finance processes while working with innovative AI solutions.
  • Qualifications: Strong finance knowledge and hands-on experience with AI and data analytics required.

The predicted salary is between 70000 - 90000 £ per year.

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

The AI Analyst / Manager will support the Finance (Controllership) organization by identifying, designing, and implementing process improvements using artificial intelligence, automation, data analytics, and workflow optimization. The role partners closely with Accounting to Reporting, Client Incentives, Billing, Accounts Payable, Internal Controls, IT, and Data teams to streamline manual processes, reduce operational risk, enhance reporting quality, and improve decision‑making across Europe.

The ideal candidate combines strong finance process knowledge with hands‑on experience in AI, automation / improvement, data analytics, and change management. They will translate finance business needs into scalable, well‑controlled solutions using generative AI, low‑code automation (e.g. Power Automate, Power BI with Co-pilot, Excel Macro’s), business intelligence platforms, ERP enhancements, and advanced analytics. This role is based in the London (Paddington) office and reports directly to the Head of Internal Controls - Europe.

  • AI‑Enabled Process Improvement & Automation
    • Assess Controllership processes to identify inefficiencies, manual activities, control gaps, bottlenecks, and automation opportunities.
    • Design and implement solutions that drive standardisation, automation, and scalability across regional and global Controllership activities.
    • Reduce manual and duplicative control activities through AI‑enabled workflows, reusable frameworks, and controls‑by‑design.
    • Partner with Regional and Global Finance, IT, and AI Transformation teams to embed automated controls within ERP (e.g. Ariba, Oracle) and upstream systems.
    • Shadow existing processes and teams to identify process improvement and automation opportunities.
    • Ability to create low code/no code solutions to prove the concept for further scaling.
  • Data, Reporting & Analytics using Gen AI
    • Analyse Controllership data to identify trends, exceptions, process issues, and improvement opportunities.
    • Develop dashboards, reports, and performance metrics to monitor process health and outcomes.
    • Support finance data quality initiatives, including validation, reconciliation, standardisation, and master data improvements.
    • Use analytics and data visualisation to communicate insights clearly to Finance leadership.
    • Define and track KPIs to measure automation benefits, including cycle‑time reduction, error reduction, productivity gains, cost savings, and improved control effectiveness.
  • Project Management & Implementation
    • Support Controllership transformation initiatives from discovery through implementation and stabilisation.
    • Document Controllership requirements, current‑state and future‑state processes, user stories, test plans, and operating procedures.
    • Coordinate delivery across Finance, IT, Data, and external partners to implement Gen AI, automation, workflow, and reporting solutions.
    • Support user acceptance testing, issue resolution, training, and post‑implementation support.
    • Manage project timelines, risks, dependencies, and stakeholder communications.
  • Controls, Compliance & Risk Management
    • Ensure AI and automation solutions maintain appropriate financial controls, audit trails, segregation of duties, and approval workflows.
    • Partner with Internal Audit, Compliance, Legal, and Risk teams to meet governance and regulatory requirements.
    • Assess and mitigate risks associated with AI usage, including data privacy, model accuracy, bias, explainability, access controls, and over‑reliance on automated outputs.
    • Document controls and procedures for automated and AI‑enabled finance processes.
    • Support internal and external audit requests related to transformed processes.
  • Change Management & Training
    • Enable Finance users through designing and running training on AI tools, automated workflows, dashboards, and redesigned processes.
    • Allow staff to ‘shadow’ work to learn how process automations are implemented.
    • Develop user guides, standard operating procedures, and best‑practice documentation.
    • Drive adoption through workshops, demonstrations, and practical use‑case education ultimately leading to a successful go live.
    • Act as a change champion, supporting teams transitioning from manual to digitally enabled processes.
    • Gather user feedback and drive continuous improvement post‑implementation.
  • Stakeholder Leadership & Enablement
    • Engage regularly with senior regional and global Finance stakeholders.
    • Have a view on ‘in flight’ projects to the Europe region from global / other regions, maintaining cross‑regional contacts to similar internal organizations.
    • Present outputs and insights to senior management, the Audit Committee, and external auditors.
    • Operate with a high degree of autonomy and professional judgement, balancing risk, control effectiveness, and cost‑benefit considerations.
    • Act as a regional subject matter expert for AI‑enabled Controllership and internal controls.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

  • Education & Professional Certifications
    • Strong understanding of core finance processes, including month‑end close, reporting, reconciliations, AP, AR, billing, budgeting, and forecasting.
    • Professional certifications preferred: CIA, CPA, CISA, CMA, CFA, Lean Six Sigma, PMP, or equivalent.
  • Technical & Analytical Skills
    • Strong understanding of AI applications in finance, including automation, text summarisation, data extraction, and analytics.
    • Advanced proficiency with generative AI tools (e.g., Power Automate (a ‘must have’) with Co‑pilot prompts, Copilot, ChatGPT, Claude, N8N).
    • Excellent analytical skills to understand and improve complex financial models and datasets, and present insights clearly through visualisations.
    • Advanced proficiency in Excel, VBA, PowerPoint, and Power BI; working knowledge of SQL, Python, and other modelling tools desirable.
    • Strong communication skills with the ability to support both commercial and non‑technical stakeholders.
  • Knowledge & Experience
    • Demonstrated experience applying enterprise AI tools (e.g., Microsoft Copilot, Claude co‑work and generative AI solutions) to financial processes, process improvement, MI reporting, and analysis of complex commercial agreements.
    • Proven ability to embed AI‑enabled automation and insight generation within governed finance environments.
    • Experience with advanced analytics, Power BI (including AI capabilities), low‑code automation tools, and emerging AI use cases in deal modelling and performance reporting.
    • Strong track record of delivering process improvement and automation in a finance or controllership environment.
  • Behavioural & Leadership Skills
    • High integrity, strong ownership mindset, critical thinking and sound professional judgement.
    • Detail‑oriented, highly iterative, resilient under pressure, and comfortable working to tight deadlines.
    • Curious, innovative, and confident challenging the status quo to drive value.
    • Clear, concise written and verbal communication skills.
    • Collaborative and effective.

AI Manager employer: Visa

Visa is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to make a significant impact in the world of finance technology. Located in the vibrant Paddington area of London, Visa offers a dynamic work environment with a strong focus on employee growth through continuous learning and development opportunities, as well as a commitment to diversity and inclusion. Join Visa to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change.

Visa

Contact Details:

Visa Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Manager

Tip Number 1

Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!

Tip Number 2

Prepare for interviews by practising common questions related to AI and finance. Think about how you can showcase your experience with automation and data analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 3

Showcase your skills through projects! Create a portfolio that highlights your work with AI tools and process improvements. This could be anything from dashboards to automation scripts. It’s a great way to demonstrate your capabilities beyond just words.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with generative AI and finance processes, and make sure to follow up after applying to show your enthusiasm.

We think you need these skills to ace AI Manager

AI Applications in Finance
Automation
Data Analytics
Process Improvement
Generative AI Tools
Power Automate
Excel

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Manager role. Highlight your experience with AI, automation, and finance processes. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how you can contribute to our mission at Visa. Keep it engaging and relevant to the job description.

Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's implementing AI solutions or improving financial processes, we love to see real examples of your work and impact.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Visa

Know Your AI Tools

Familiarise yourself with the specific AI tools mentioned in the job description, like Power Automate and generative AI applications. Be ready to discuss how you've used these tools in past roles to drive process improvements or enhance reporting quality.

Showcase Your Finance Knowledge

Brush up on core finance processes such as month-end close, reconciliations, and budgeting. Prepare examples of how you've applied your finance expertise to identify inefficiencies and implement automation solutions in previous positions.

Prepare for Scenario Questions

Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you identified a bottleneck in a process and how you approached it using AI or automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Engage with Stakeholders

Demonstrate your ability to communicate effectively with both technical and non-technical stakeholders. Prepare to discuss how you've engaged with teams in the past to drive change and gather feedback, showcasing your collaborative approach to project management.