Level

ING

Senior product manager

AI in this role

Lead the discovery and delivery of AI-driven data products and financial insights for ING's wholesale banking division.

product-managementagiledata-productsexperimentationai-product-strategy

We are seeking a Senior Product Expert who has experience in Discovery, Experimentation and Shipping products successfully - to be part of our Wholesale Banking Advanced Analytics Transaction Services squad. This is an entrepreneurial and global role in an innovative international team. You will be continuously discovering and building global data products and AI-driven solutions, to be embedded in ING’s digital front office channels that help ING employees serve their global Wholesale Banking clients better.

Any given day will be different, but one of them might look like this: Start off the day with the daily standup with the Transaction Services squad. Afterwards you work with them on the product roadmap and the next experiments for Product and Client Profitability insights. The next meeting is with UX and business stakeholders, who want to run through the latest user research and country feedback. This will be important input for you to prioritize the backlog for the upcoming sprint.

Just before lunch you go through the results of an experiment where a first AI-enabled workflow for smart pricing or transaction network insights in Wholesale Banking was tested.

You go for lunch with a senior Transaction Services stakeholder to discuss how profitability insights can be embedded into Wholesale Banking front-office channels and help teams spot better sales opportunities.

Then, you run a workshop with colleagues from Product, Sales, Tech and Data to turn a promising AI-related idea into a concrete proposal, showing value with quick experiments.

In the hallway you meet a colleague who is working on conversational AI for client-facing teams. This could be a project for an 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 and global data products for Wholesale Banking. 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.

The team
Wholesale Banking Advanced Analytics (WBAA) 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. Within WBA, the Transaction Services squad builds global data products that provide Product and Client Profitability insights, helping Transaction Services employees identify sales opportunities and serve ING’s global clients better.  


 

Roles and responsibilities
For this role we expect you to fill the following responsibilities: 

  • Banking Transaction Services, prioritize the idea backlog and design and execute experiments
    to decide what problems need solving. You are ensuring those solutions are used, trusted,
    and deliver measurable business value by continuously assessing viability, feasibility, and
    desirability.

  • You understand what is happening on the frontier of AI and are able to bring that outside-in
    view into the organization in your day to day, exploring opportunities such as smart pricing,
    transaction network insights, and conversational AI capabilities.

  • 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, Digital and Wholesale Banking, and manage stakeholders up to senior management
    level, specifically in Transaction Services.

  • Work with and lead a multidisciplinary squad of 10+ professionals, including Data Scientists, UXers, (AI) Engineers and business experts, to discover the potential of product ideas,
    understand the user problem through user research, validate and prototype solutions, and lead your team through agile product delivery.

  • You will have a strong focus on Product and Client Profitability insights that enable Transaction Services employees to spot sales opportunities and serve ING’s global clients better.

  • 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 on data-driven product management, AI product vision and the use of profitability insights in Wholesale Banking.

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

How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

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

  • Show proof points you can think strategically, but also have hands-on experience bringing a product from concept to the market, including defining product vision and strategy for a global data product.

  • Experience with experimentation, discovery, and delivering scalable products.

  • Experience in Transaction Services Wholesale Banking is favorable.

  • Strong stakeholder management skills, including the ability to engage senior management and business stakeholders in Wholesale Banking Transaction Services.

  • University degree

  • Written and spoken fluency in English, Dutch optional.

Why this is NOT for you

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

  • 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.

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.


The benefits of working with us at ING include:

  • 25-28 vacation days depending on contract

  • Pension scheme

  • 13th month salary

  • 8% Holiday payment

  • Hybrid working

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues


About us
Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.

Questions?
Please visit our Frequently Asked Questions section to find some answers on questions you might have.

Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

How we rate this

Senior product manager at ING rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Product ManagementAgileData ProductsExperimentationAI Product Strategy

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where agile was part of your work. What did you do?
  3. Tell me about a project where data products was part of your work. What did you do?
  4. Tell me about a project where experimentation was part of your work. What did you do?
  5. Tell me about a project where ai product strategy was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Agile, Data Products, Experimentation, and AI Product Strategy. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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