Do you love to operate in a truly international environment, want to be the driving force of bringing AI and banking to the next level? Truly provide AI leadership? Great! Wholesale Banking Advanced Analytics would like to get in touch!
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.
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.
Roles and responsibilities
For this role we expect you to fill the following 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).