Senior Product Manager WB Advanced Analytics and Artifical Intelligence

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

• Lead product discovery. Find (data) problems, prioritize idea backlog and design and execute experiments to decide what problems need solving. It is ensuring those solutions are used, trusted, and deliver measurable business value.

• You understand what is happening on the frontier of AI and able to bring that outside in view into the organization in your day to day.

• ING is an entrepreneurial organization and ideas with AI are being pushed continuously globally. You manage this funnel and intake process accordingly together with colleagues in Tech and Digital and manage stakeholders on all levels.

• Work with a squad of Data Scientists, UXers, and (AI) Engineers to discover the potential of a product idea, the user problem (user research) and validate and prototype

• Size the opportunity, build business cases, apply storytelling and measure results.

• Good understanding of Design and Product thinking methodologies, as well as Lean and Agile delivery

• Demonstrated to bring product management to a higher maturity level, establishing a continuous, visible and outcome driven learning loop.

• Demonstrate thought leadership internally and externally

• Understanding and enthusiasm for technology, (Agentic) AI and data science methods

Why this is NOT for you

• You never shipped a product before and think Product Management equals projects.

• Your backlog looks like a list of requests from the business.

• Decisions driven by seniority rather than evidence.

• You assume that once built the solution will be used.

• You want to focus on one topic at the time.

• You like others to do the work for you. Hands on work is something from the past.

Requirements

• 8+ years of relevant experience. You worked as a product manager before, in a technology driven organization, preferably in financial services.

• Show proof points you can think strategically, but also have hands on experience bringing a product from concept to the market.

• Experience with experimentation and discovery

• University degree

• Written and spoken fluency in English, Dutch is a pré

What could your day look like?

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:

• 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.

• A competitive salary.

• This job requires you to be in the Amsterdam minimally 3 times a week. Working hours are flexible.

• 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.

• You must have the legal right to work in the Netherlands.

Are you keen to know more or apply?

For further inquiries, please contact us.

We are looking forward to getting to know you!