Data Quality Expert / Product Owner

CDR (Amsterdam - Cedar)

Who we are 

Data is one of the foundations of ING’s strategy to become one digital bank, where we need more granular data of high quality to manage the bank wide (customer-)processes, modelling and decision making. Data Operations is the place to execute our data strategy and optimize the data operations within ING. Together, we are raising the data management capabilities to the next level.  

As a member of the Data Operations organization, you will contribute greatly to operationalize ING’s data strategy and fulfill our data promises. 

 
Job description 

With an increased appetite for consuming data and regulatory pressure to demonstrate data quality coverage, we need to maintain high standards in Data Quality. The Global Data Quality team is responsible for operationalizing ING Data Quality strategy, translating into services and executing globally to ensure we maintain those high standards for ING data group-wide.  

 

In this role, you will be part of a team of Data Quality Product Owners working in the Netherlands and ING Hubs Romania. Your responsibilities will include facilitating collaboration among local data domains and data-consuming parties, setting DQ requirements, and driving remediation through actionable reports and processes. You are pivotal in structurally improving data quality across your portfolio of products, overseeing robust processes from designing Data Quality rules to remediation and prevention of DQ issues at the source.  

 

The ideal candidate is a self-directed executor who helps orchestrate progress effectively in front of and behind the scenes. Being comfortable with ambiguity and high work pressure is a must. Your professional experience clearly demonstrates you can operate in a Data environment and to bring content to the table.    

 

Key Responsibilities 

  • Lead a product portfolio (Finance), overseeing the end-to-end data quality journey covering all four data quality phases (design, implement, monitor, improve) within specific domains (e.g., Finance/Risk/KYC/WB), where you act as a PO, accountable for data quality. 

  • Work closely with the Product Lead of Data Quality, data owners, data users and IT stakeholders to ensure stakeholder alignment and gather their demands and requirements for new data quality controls & dashboards, translating them into data quality rules. 

  • Build consensus among cross-functional partners and accelerate decision making. 

  • Enable strong cooperation and aligned execution of data quality practices across entities.  

  • Prioritize and manage backlog of your product portfolio team, taking full ownership of processes and ensuring project steering, oversight & tracking progress.  

  • Collaborate with Data Platform & Delivery teams for technical alignment and execution. 

  • Define and monitor data quality metrics, create reports, and provide regular updates to management on improvement areas and progress toward data quality objectives. 

  • Drive implementation of DQ tooling for monitoring and dashboard solutions to showcase the value derived from our data operations services to senior management. 

  • Contribute to business plans, QBRs, KPI forecasting, and resource allocation  

  • Provide an improved Data Operations client experience within your specific domain and in-scope countries. 

 

Furthermore, you are/have: 

  • Expertise in the area of Data Management.  

  • Experience in the financial or consulting sector and/or non-financial risk domain.  

  • Ability to work in a (partially) virtual, complex international landscape 

  • Highly analytical with the ability to swiftly identify core issues. 

  • Possess organizational sensitivity, collaborating effectively with diverse stakeholders. 

  • Enthusiastic, dedicated to aiding others' success and staying proactive. 

  • Passionate about numbers, proficient in Excel and PowerPoint. 

  • Set an example by giving and acting upon feedback, fostering continuous improvement. 

  • Maintain a strong network within the bank and understand the culture and way of working.  

  • Customer-focused, capable of building trust with senior leadership. 

  • Firm believer in the ING hubs strategy. 

  • Proficient in stakeholder management, comfortable operating at senior leadership levels. 

  • Proven success in establishing executive relationships and influencing decision-making. 

  • Innate drive to accomplish tasks. 

  • Set vision and priorities 

  • Stand firm in discussions and explain goals in a clear and understanding manner  

  • Excellent communication skills, adept at conveying messages across all organizational levels, with outstanding English proficiency in both written and verbal communication. 

  • Nurture collaborative, flexible, and inclusive relationships. 

  • Work independently to meet high internal quality standards. 

 

What we offer 

  • An inspiring and challenging work environment in an internationally focused business, at a key position with high exposure  

  • Opportunity to further enhance our data function across the bank  

  • Full time position (40-hour working week)  

  • Job grade 18 (JCF) / 12 (GJA) 

  • Attractive employee benefits package  

  • Position based in Amsterdam 

 

At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career, we’d encourage you to apply. Should you have questions about the vacancy or need to hear more before you feel you can apply. Please do not hesitate to reach out to the responsible recruiter. 

Apply now Apply later
  • Share this job via
  • or

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

Job stats:  1  0  0
Category: Product Jobs

Tags: Consulting Data management DataOps Data quality Data strategy Excel Finance

Perks/benefits: Flex hours

Region: Europe
Country: Netherlands

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.