Product Manager Retail Banking Analytics Products

Retail Banking Analytics (RBA) in ING Analytics is looking for a Product Manager focusing on mortgages/businses banking analytics. As a Product Manager you will originate and build data-driven algorithmic products for the specified area. This is an entrepreneurial and global role in an innovative international team. The role requires a balance of hands‑on analytical leadership, stakeholder influence, and people development.

RBA specialises in delivering Analytics and AI products and solutions across the ING retail business. We work together with all retail business units to deliver on the ING retail banking strategy. Projects span across personalisation and CI, mortgages, consumer finance, pricing, and business banking. In this specific role, the product manager will focus on analytics solutions for mortgages/ business banking.

• Lead assigned analytics product development in prioritised area(s) in RBA
• Potential to extend product area when further grow.
• 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 and Engineers to discover the potential of a product idea, the user problem and validate and prototype
• Manage data-driven products so that they generate significant value for ING and its customers
• Create value propositions, vision and product strategy
• Good understanding of innovation and product management methodologies such as Lean, Agile and Design Thinking
• Strong ability to develop structured product concepts from abstract ideas and lead prototyping
• Manage backlog of the development, engage with business stakeholders to ensure alignment, and prepare steerco discussions on critical topics.
• Demonstrate thought leadership internally and externally
• Understanding and enthusiasm for technology, advanced analytics and data science methods

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.

• Demonstrated experience leading and delivering machine learning or advanced analytics use cases and products with clear and measurable business impact.
• Strong experience in a consulting or advisory role (internal or external), including project or delivery management in complex, multi‑stakeholder environments.
• Strong stakeholder management and communication skills, including engagement with senior leaders and decision‑makers in a complex organisational context.
• Demonstrated people leadership experience, including leading or mentoring technical professionals (e.g. data scientists, engineers) in an international and/or multi‑location setup.
• Experience with analytics project blueprinting, problem framing, and solution design is required; experience translating blueprints into execution and delivery is a strong plus.
• Experience and domain knowledge in one or more of the following areas is a plus: mortgages, consumer lending, business lending, and/or personalisation, preferably in the context of analytics or data‑driven use cases.
• Approximately 6–10 years of relevant professional experience in analytics, data science, machine learning, or related fields.
• Master’s degree in a scientific, quantitative, or technical field, or equivalent practical experience.
• Fluent written and spoken English.

Any given day will be different, but one of them 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 analysis or experiment. Next you work with squad members on a few analysis which will be important input for you to prioritize the backlog for upcoming sprint.

In the afternoon, you run/support 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 period.

This evening you are presenting at an AI Meetup that attracts the best AI minds in the city… or you call it a day…