Data Manager Building Experience & Excellence

The team You will be part of the Building Intelligence Team within the Building Experience and Excellence department.

As Data Manager, you will also need following competencies: Stakeholder management to collaborate across and beyond BEE ensuring that the data is available and useable to deliver tailor made reporting to the different BEE departments.

About ING

Maintain end-to-end data lineage from source systems through transformations, KPI definitions, dashboards and AI outputs, ensuring traceability, auditability and trusted use of BEE data

What are we looking for A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead.

In other words, you strive to bring fresh ideas to life and embrace challenges in a fast-changing and complex environment.

We offer you A clear purpose, a unique offer and a range of flexible compensation and other benefits: • The possibility to directly contribute to the sustainable growth strategy of ING Belgium, with a pivotal role in credit risk management. • Get acquainted with complex and automated decisioning processes, applying an end-to-end bank’s perspective. • An informal, dynamic environment with innovative colleagues supporting your endeavors. • A progressive and agile way of working, where new ideas are valued ahead of convention. • A well-functioning multi-cultural team with a good team spirit.

Responsibilities

• The Building Intelligence Team supports the BEE department by delivering reportings (PowerBI), managing the documentation & Assets, ensuring risk & compliance and managing the different toolings used by the department and ING employees.
• As Data Manager, you Own and manage the BEE data backbone, analytics data model, BI roadmap, predictive models and AI use-case portfolio, ensuring data is governed, trusted, documented and fit for business use.
• Your role & work environment Acts as the bridge between business stakeholders and data solutions, translating operational needs and business questions into KPIs, dashboards, reports, analytical models and AI-enabled insights.
• Develops and continuously improves the BEE analytics ecosystem by designing and maintaining reporting products, analytics data models, KPI frameworks and self-service analytics solutions.
• Ensures reporting remains standardized, intuitive, consistent and aligned with business priorities and decision-making needs.
• Transforms governed data into trusted insights, actionable recommendations and decision-support tools, while promoting data quality, governance, self-service adoption and continuous improvement across BEE.
• Your key responsibilities Data & improvement projects Ensure consistent, reliable and scalable reporting across BEE.
• Partner with the Tooling Lead and Asset & Documentation Manager to enable effective data, tooling and documentation practices.
• Support business improvement initiatives through performance measurement and analytics.
• Identify opportunities for automation, standardisation and process optimisation.
• Analytics, BI & AI Own the BI roadmap, KPI framework and Power BI dashboard portfolio.
• Transform governed data into insights, reporting products and decision-support tools.
• Develop and manage predictive models, AI use cases and self-service analytics capabilities.
• Track and communicate the business value delivered through analytics, BI and AI initiatives.
• Drive adoption and usage of BEE data, dashboards and analytics products, with accountability for agreed usage and engagement targets.
• Data governance Act as operational Data manager for BEE data assets, ensuring data quality, governance, compliance and business fit.
• Maintain and evolve the BEE data model, business definitions and data standards according to the strategy.
• Monitor data adoption, usage and trustworthiness across BEE, driving continuous improvement.
• Align Data Owners, Data Users, analysts and engineers around a single source of truth.
• You love to challenge the status quo and are eager to propose creative solutions to problems.
• Managing complexity to create a single source of truth (One central place for all BEE data).
• Data collection & analysis to create value.
• You can pre-analyse data sources and deliver insights to support the business.
• Data pipeline design, implementation, and automation to make data from various systems readily available for analytics.

Requirements

• You are a naturally collaborative person who listens and invests in others to achieve common goals.
• Data integration and automated data ingestion from internal and external systems (via APIs, database connections, file exchanges, or other available methods).
• Python/SQL development for data extraction, transformation, and process automation.