As Product Manager you will originate and build data-driven algorithmic; advanced analytics and GenAI products. This is an entrepreneurial and global role in an innovative international team.
Wholesale Banking Analytics (WBA) has the purpose to build data-driven products that benefit ING’s clients and the bank. Within a tribe of around 140 talented people: engineers, data scientists, UXers and product managers, we build next-gen solutions that make the wholesale bank more data driven and innovative.
What your day looks like!
Any given day will be different, but one might look like this: Start off the day with the daily standup with your product squad. Afterwards you work with them planning and defining the upcoming experiments. The next meeting is with UXer, 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.
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 challenge. This could be a project for our upcoming experiment week.
This evening you are presenting at an AI Meetup that attracts the best AI minds in the city… or you call it a day and spend some quality private time to keep a healthy balance between focus, rest and other things.
Responsibilities
Product discovery: identify (data) problems, prioritize idea backlog and design and execute experiments to determine what problems need solving
Work with a squad of Data Scientists, UXers, and Engineers to discover the potential of a product idea, the user problem (user research) and validate and prototype
Manage the execution and delivery of data-driven products so that they generate significant value for ING and its customers
Create value propositions, vision, roadmap and product/domain strategy
Good understanding of innovation and product management methodologies such as Lean, Agile and Design Thinking
Ability to develop structured product concepts from abstract ideas and lead prototyping
Demonstrate thought leadership internally and externally
Data and metrics backed decision making, with solid and measurable OKRs
Understanding and enthusiasm for technology, advanced analytics 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.

Please refer the Job description for details