Product Manager Power BI Platform Tech I&E Operational Insights

HBP (Amsterdam - Haarlerbergpark)

Global Infrastructure & Engineering (I&E) provides Tech Infrastructure services and tooling supporting our global engineering workforce. Within Tech I&E, the Tribe Global IT Engineering and Operations (GITEO) provides the end-to-end Engineering Journey for our awesome Engineers, to ensure they can securely design, plan, code, build, deploy, test, run and monitor their product(s) and/or service(s).  

The team

  

The Tribe GITEO comprises three Global Areas:  

  • Global Operations – containing the GMCR (Global Monitoring Control Room), GMIM (Global Monitoring and Incident Management) and the Global ServiceNow platform.  

  • Global Monitoring – delivering the Global Monitoring Data Pipeline (MDPL)  

  • Global Engineering – providing the One Pipeline CI/CD platform.

  • Global Engineering Experience – enabling productization, quality, adoption and evolution of tools and platforms that comprise the global offering.

The GITEO Tribe is looking to recruit a Product Manager within the Global Engineering Experience Area reporting to the IT Area Lead and Chief Product Owner. With your pragmatic and delivery-oriented professional attitude, you put your background and experience to effective use as Product Owner.
Together with the squad, the IT Area Lead and the CPO, you set the goals and work on a technical strategy to achieve those goals. You take ownership for the agreed solution ensuring that solutions delivered meet customer and business needs whilst adhering to legal, risk and compliance requirements of the bank.

You will not be HR responsible for the engineers in the squad, because that responsibility lies with the chapter leads that we have in the Netherlands and Poland.

Role and Responsibilities

Together with the squad you are responsible for the future of the Power-Bi offering and for staying within our risk appetite:
 

  • Providing clarity to the team with clear goals.

  • Manage risk on the service/product you provide.

  • Manage the delivery roadmap of the product, which will require alignment with other stakeholders and customers across multiple locations.

  • Take ownership of the product backlog by prioritizing features and user stories to deliver the most value to our consumers

  • Keep the stakeholders informed on the Product Roadmap and the progress of the feature delivery and upcoming releases.

  • Promote a clear product vision which has the customer as the focus, while maintaining a standardized, secure and reliable solution.

  • Work together with our chapter leads to make sure the squad is staffed with the skills and people required to deliver on our commitments.

Who are we looking for?
A colleague with a talent for taking it on and making it happen. You are passionate about bringing fresh ideas to life and embrace challenges in a fast changing and complex environment.  You know how to connect colleagues in globally distributed multidisciplinary teams to achieve common goals. You are an enthusiastic professional who gets energy from working on concrete and tangible results.  You love to challenge the status quo and are eager to propose creative solutions to problems. Customer perspective is your primary driver. You are driven to continually develop and / or broaden your own expertise. 

Specifically:

  • You have a good understanding of data engineering, data warehousing and a general view of the Azure Data Platform and its capabilities.

  • You are familiar with DAX queries and functions in Power BI.

  • Eager to learn modern technologies (like Microsoft Fabric)

  • You understand the value and principles of business intelligence and can explain it to non-technical stakeholders

  • You understand software delivery lifecycle and CI/CD practices

  • You have a rudimentary understanding of IT Risk and defensive coding practices.

  • You are familiar with regulatory landscape pertaining to data management.

  • You have a vision for how a modern BI practice should work and are able to articulate it and bring others along to support your ideas.

  • You come from a technical background, and ideally have spent a large part of your career working with or for software engineering teams.

  • Understanding business requirements and being able to be the bridge between IT and
    business

  • You have a solid command of the English language, both spoken and written.

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. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience
  • 24-27 vacation days depending on contract
  • Pension scheme

  • 13th month salary

  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary

  • 8% Holiday payment

  • Hybrid working to blend home working for focus and office working for collaboration and co-creation

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

About us

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Azure Business Intelligence CI/CD Data management Data Warehousing Engineering Power BI

Perks/benefits: Career development Home office stipend

Region: Europe
Country: Netherlands
Job stats:  2  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.