AI Consultant

AI Management Consultant

Do you love to operate in a truly international environment and want to be the driving force of bringing AI and banking to the next level? Wholesale Banking Advanced Analytics would like to get in touch!

About the Role

Artificial Intelligence is fundamentally reshaping ING. Across both front- and back-office operations, AI enables faster and more accurate decision-making, automates complex workflows such as KYC and compliance, and enhances client engagement through personalized, real-time interactions. At ING, AI has moved beyond experimentation to scalable impact in areas like customer service, lending, risk management and software engineering, allowing teams to process large volumes of data, improve productivity, and deliver better outcomes for clients. This shift is not only driving efficiency and cost reduction, but also redefining how the bank competes—turning AI into a strategic enabler for innovation, regulatory resilience and sustainable growth in Wholesale Banking.

The AI Management consultant will play an important role supporting the team in the end to end AI funnel from idea to scale, manage and refine the AI portfolio, build and maintain the operating model, keeps a view on the market as well as engaging with stakeholders and prepare decision making.

Responsibilities

• Support the team with the end to end AI funnel. Identify, validate and prioritize AI ideas, aligned with strategy and gear towards business impact.
• Manage and refine the WB AI portfolio. Provide oversight, insight, actionable recommendations.
• Continuously improve processes, roles and tools used. In the end of the day it is about re-use, scalability and accelerate adoption and consumption of AI.
• Strong stakeholder management and cross product and unit alignment, integrating business, AI, tech and risk.
• Conduct market research and intelligence, feeding those insights into the strategy and teams.
• Stakeholder engagement and AI governance bodies preparations. Prepare decision making with clear messaging.
• Support the team in projects like WB AI strategy & governance, setting up new AI flagship programs, drive the adoption and consumption of AI and drive value in the E2E value chain (business, AI, data).

Requirements

• 5+ years of experience (i.e. currently a consultant or senior consultant)
• Master's degree
• Strong analytical skills and get energy of translating complexity into a clear vision and structure, always looking for ways to improve the status quo
• Understanding of Design and Product thinking methodologies, as well as Lean and Agile delivery
• Focused on details, getting to the bottom of complexity and simplify issues to be communicated in a clear and concise way
• Tech savvy, demonstrated to operate on the frontier of AI
• Strong influencing skills, structured and a result-driven/ persistent can-do mentality
• Can get up to speed incredibly fast in new environments and new topics
• Operate independently while being a team player, have a helicopter view
• Easy to work with and have a drive to work in a bank-wide, international environment
• Excellent communication skills. Fluent in English, Dutch is a pre-requisite
• Hands-on, there is no-one to do the work for you

Not for You

• You like strategy and PowerPoint only, not having execution muscle
• You are a delivery or project manager managing solely by process and low ambiguity tolerance
• You lack business instinct

A Day in the Role

Any given day will be different, but one of them might look like this:

• Start off the day with the daily standup with the Discovery squad. They work on (data) problems, prioritize idea backlog and design and execute experiments to decide what problems need solving.
• Afterwards you work with your colleagues in Asia that have a new business idea with AI at its core and need guidance on how to put their idea forward. Looks like there are similarities with an idea submitted by our colleagues in the US. Is there a possibility to re-engineer a workflow into an agentic workflow?
• Just in time for the delivery meeting where we go through the portfolio of the business unit. What impediments needs to be solved? Great input for the decision making your are preparing.
• You go for lunch with our Tech colleagues to understand how we can further improve our SLDC with AI. Then, later that afternoon you run a workshop with your counterparts in Digital and Tech about a new governance model to improve the time to market even further. How do we position AI Risk most optimally?
• In the hallway you meeting with a colleague who is working on AI driven investment algo's. This could be a project for our upcoming experiment week.
• Later in the day you make your way to a conference where you are speaking about our latest developments in AI. You stay for some drinks at the conference… or you call it a day and spend some quality private time to keep a healthy balance between focus, rest and other things.

About Wholesale Banking Analytics

Wholesale Banking Analytics (WBA) has the purpose to build data-driven AI products that benefit ING's clients and the bank. With a team of about 125 engineers, data scientists, UXers and product managers we build solutions that make the wholesale bank more data driven.

What We Offer

• Latest technologies, regular experimentation and play
• Working with highly skilled and motivated people
• Working in an area which is of great importance to the strategy of ING
• Individual well-being and development of our employees is important, which is why ING offers excellent courses and programs
• Learning on the job you will not find in the training and education curriculum yet
• Fixed term contract which will become permanent based on performance
• Flexible working hours
• In Amsterdam minimally 3 times a week
• Competitive salary
• You must have the legal right to work in the Netherlands