Product Lead – Global Data Quality

Product Lead – Global Data Quality

Who we are

Data is one of the foundations of ING’s strategy to become one digital bank and Data Operations is the place to operationalize and execute our data strategy. The Data Operations organization will fulfil ING’s strong belief that data is key in ING’s ambition to become a data driven digital bank, where we need more granular data of high quality to manage the bank wide (customer-)processes, modelling and decision making. As a member of Data Operations organization, you will contribute greatly to operationalize ING’s data strategy and fulfill our data promises.

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

Position Overview:

As the Product Lead for Data Quality Operations within Global Data Quality function, you will lead a team of Data Quality experts/CJEs across ING capability hubs in the Netherlands, Manila, and Romania. Your role is pivotal in structurally improving data quality across our organisation, overseeing robust processes from designing Data Quality rules to remediation and prevention of DQ issues at the source. 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. The goal is to transition from a reactive to a proactive approach in managing data quality, ensuring a strong and aligned execution of data quality practices across entities.

Join our dynamic team to lead a specialised group of Data Quality experts/CJEs, driving the transformation of our data quality landscape globally and ensuring a proactive and collaborative approach to data quality operations.

Key Responsibilities

• Lead a team of Data Quality Customer Journey Experts, including head office and hubs, in adhering to best practices and standards
• Work closely with the Global Head of Data quality to implement the overall DQ strategy
• Oversee the end-to-end data quality journey covering all four data quality phases (design, implement, monitor, improve) across specific domains (e.g., Finance/Risk/KYC/Global HR/WB), acting as a PO, accountable for data quality.
• Develop & enhance the E2E data quality operating and service model across data domains.
• Ensure strong cooperation and aligned execution of data quality practices across entities.
• Take full ownership of processes and ensure project steering, including issue management and remediation, oversight and tracking progress.
• Identify and rectify process gaps, executing continuous improvement plans.
• Collaborate with Data Platform & Delivery teams for technical alignment and execution.
• Work closely with data owners, data users and IT stakeholders to ensure handshakes and gather their data quality requirements and specifications for new data quality controls and dashboards, translating them into data quality rules.
• Contribute to business plans, QBRs, KPI forecasting, and resource allocation
• Build diverse, goal-oriented teams focused on surpassing goals and achieving deadlines, while holding everyone accountable and learning from feedback.
• Plan and execute professional development for team capabilities, guiding others in plan execution and solution implementation.
• Foster motivation, urgency, accountability, and learning within diverse, goal-oriented teams
• Provide an improved Data Operations client experience.

Qualifications:

• Proven experience in a leadership role focused on global data quality operations, specifically leading teams of Data Quality experts.
• In-depth knowledge of data governance principles, global data quality frameworks, and best practices.
• Strong analytical and problem-solving skills with a strategic mindset.
• Excellent communication and interpersonal skills, fostering collaboration across diverse teams and entities.
• Experience with global data quality tools and technologies.
• Project management skills, including the ability to prioritise and manage multiple tasks on a global scale.
• Managerial courage to question and make decisions.
• Aptitude to empower teams to act autonomously, think out of the box, and be accountable.
• Excellent level of English, speech and presentation skills  

Furthermore, you are/have:

• Experience in navigating complex global environments.
• Possess organizational sensitivity, collaborating effectively with diverse