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Lead the discovery and delivery of high-impact AI products for Wholesale Banking by designing experiments and validating user problems. Collaborate with cross-functional squads of data scientists and engineers to translate AI opportunities into measurable business value.
Requires 8+ years of relevant experience in product management within a technology-driven organization, preferably in financial services. Must hold a university degree and demonstrate a proven track record of bringing AI products from concept to market.
ING Analytics Wholesale Banking is looking for a Senior Product Manager
As Senior Product Manager you will originate and build data-driven AI products.
We are seeking a Product Expert who has experience in Discovery and Experimentation and shipped products successfully – to be part of our Wholesale Banking AI discovery squad. This is not a traditional product management role, with a clearly demarcated remit. It is an entrepreneurial and global role in an innovative international team, continuously discovering and delivering the highest-impact AI opportunities for ING and its clients.
What we expect from you
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. Afterwards you work with them planning and defining the upcoming experiments. The next meeting is with UX, who wants to run through his latest research results with you. This will be important input for you to prioritize the backlog for upcoming sprint.
Just for lunch you go through the results of an experiment where first part of an agentic workflow in Wholesale Bank were tested.
You go for lunch with the hot AI Fintech that is using voice data to predict trading behavior, who you spotted coming out of a Startup Accelerator.
Then, you run a workshop with a team that has been thinking about an AI-related idea and help them work it out into a concrete AI proposal, showing value with quick experiments.
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 product management conference where you are speaking about our latest developments in AI driven Discovery. 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.
What department?
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 do we offer?
Working at ING Analytics means working in a dynamic and international setting. Individual well-being and development of our employees is important, which is why ING offers excellent courses and programs. You will become a member of the Wholesale Banking Analytics team, a prestigious, no-nonsense, and high-output team.
In addition, we offer:
Are you keen to know more or apply?
For further inquiries, please contact us.
We are looking forward to getting to know you!
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
Offices: Bijlmerdreef 106, Amsterdam, North Holland 1102 CT, NL
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