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Amsterdam, Noord-Holland, Nederland
Hybrid
First published date: 04/09/2026
Data & Analytics focuses on building and operating global data and analytics solutions as well as providing directives on compliant and efficient processing of enterprise data.
The objective of the architecture department is to ensure that business strategy, IT strategy and implementations are aligned on an ongoing basis considering applicable technology approaches, solutions, good practices, risk appetite and cost targets.
Main activities are:
Creating the designs of data & analytics components and processes, specifically:
Practices and frameworks
Vendor and technology solutions/services architecture
Technology implementation approach
Providing global advisory on design and implementation matters
Advisory role in data & analytics programs
Advisory role in data processing standards
Writing vision/position papers
Key responsibilities
Architecture artefacts lead and delivery
Formulating and testing hypotheses and drawing conclusions to determine appropriate data & analytics solutions/services for ING in a global perspective
Designing global data & analytics platform components ensuring the optimal match between technology, fit-to-infrastructure (feasibility of deployment), costs, user acceptance, measurability, and flexibility/scalability together with a virtual team of architects and engineers
Maintaining and updating the global strategy for data & analytics taking relevant (technological, organisational) changes into consideration as well as keeping pace with innovations and trends in the industry/market
Communication and verification
Presenting and delivering verbal and written messages to other architects within ING, senior specialists and senior executive management
Defining and presenting final solution and impact on the organisation, and sustaining the rationale for the solution/service
Organising and providing trainings, workshops, video conferences and working with international (virtual) teams on the topic of data & analytics architecture
Building and maintaining a sustainable network of specialists inside and outside ING
Intellectual capital & knowledge sharing
Initiating and leading knowledge sharing activities
Keeping professional knowledge up-to-date and translating external innovations and trends into useable information
Requirements
Fluent in conceptual aspects of data & analytics, specifically on:
Data & analytics architecture practices and frameworks
Database design (RDBMS, SQL and NoSQL)
Google BigQuery and VertexAI
Background in computer science or mathematics/physics
At least 10 years of professional experience in the field of IT, and at least 5 years in the field of data & analytics
Furthermore, the following personal profile:
Ability to take ownership and responsibility
Expertise and demonstrated track-record in driving and steering multidisciplinary teams
Excellent analytical skills and clear way of expressing abstract concepts
Experience in producing and presenting architectures on a conceptual and logical level
Experience in effective communication on senior management level
Excellent writing & reporting skills in English
Determination to continuously develop your (technical) expertise and knowledge
Willingness to travel (up to 10%, mainly in Europe)
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. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
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