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ING

Data Manager Building Experience & Excellence

ING is hiring a Data Manager Building Experience & Excellence. Level rates it ; you can apply on ING.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Power BI, data management and business intelligence among its tools and skills.
  • Level classes it as a mid-level role.
  • ING has 686 other open roles on Level.
  • Posted in the last few days.

AI in this role

Own the data backbone, BI roadmap, predictive models, and AI use-case portfolio for the Building Experience and Excellence department.

power-bi
data-managementbusiness-intelligencepredictive-modelingdata-governancekpi-frameworksanalytics

The team 

You will be part of the Building Intelligence Team within the Building Experience and Excellence department. 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.
  • 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. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

 

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.
  • 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 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.
  • Data pipeline design, implementation, and automation to make data from various systems readily available for analytics.

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.

How we rate this

Data Manager Building Experience & Excellence at ING rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementBusiness IntelligencePredictive ModelingData GovernanceKpi FrameworksAnalyticsPower BI

Questions you could be asked

  1. Tell me about a project where data management was part of your work. What did you do?
  2. Tell me about a project where business intelligence was part of your work. What did you do?
  3. Tell me about a project where predictive modeling was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Tell me about a project where kpi frameworks was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Management, Business Intelligence, Predictive Modeling, Data Governance, and Kpi Frameworks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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