Product Owner | Vista Core Data Layer @ING Hubs Romania at ING Group in Bucharest

  • Company: ING Group
  • Location: Bucharest - Dacia One
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-11-03

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Job description

Discover ING Hubs Romania ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals. We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from our office in Bucharest. Our tech capabilities remain the core of our business , with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products. We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged. For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you? The Mission GAIDP (Global AI & Data Platforms) tribe has a purpose to build data analytics products that benefit ING’s employees, clients and the bank overall. With an enthusiastic team of about 300 - engineers, data scientists, UXers and product owners we build solutions that make the bank more data driven. We are a group of data enthusiasts with a mission to create an end-to-end Data Analytics Platforms called Vista for ING Bank. We are part of the ING Analytics (INGA) department, under the GAIDP tribe. Vista is an internal Data Analytics Platform with over 500+ high value projects across the domains of Fraud, Wholesale Banking, Retail, and others. We have over 1000+ users, 100s of models in our Exploration environment and dozens in Production/Execution. And this is just the start for us! Your day to day We are looking for an experienced Product Owner to lead our Vista Core Data Layer squad and facilitate seamless journeys for our users. This is a joined effort between ING units, and you are going to be part of a distributed international and multi-cultural team. Each of our squads is responsible for some of the components of our Platform, be that in Exploration or Execution, in our Private Cloud or within a Public Cloud provider; all contribute to the overall vision of building a scalable, secure and performant platform to enable advanced analytics and AI for ING. There is plenty of work and fun down this road. Role & Responsibilities Lead your squad's discovery and delivery roadmap: find (data) problems, prioritize ideation backlog, design and execute experiments to decide what problems need solving; Work with a squad of Engineers, SRE, and Data engineers to discover the potential of a product idea, the user problem (user research) and validate and prototype; Ability to develop structured product concepts and features from abstract ideas and increased user demands with complex challenges; Manage all the stakeholders in the tribe; Work closely with area Product Manager and Tech Lead on product strategy and vision; Understanding and enthusiasm for technology, advanced analytics and data science methods. What you’ll bring to the team Experience : 3+ years of experience with Product Owner or Product Manager role, with a good understanding of product management methodologies such as Lean, Agile and Design Thinking. Customer Journey Experts with relevant experience and a strong interest in transitioning into a Product Owner role are also encouraged to apply. Knowledge: You are familiar with Data, Advanced Analytics and Data-driven Products; You are comfortable with technical components and software engineering: Apache Airflow, Apache Spark, Apache Kafka for streaming ingestions, ETL methodologies, Kubernetes, Distributed Data Systems/Distributed Computing/Data migration, SQL, Python/Scala, CI/CD pipelines; You have good background in Big D

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