How do you make our customers happy?
Customer experiences, analytics, and AI-driven decisions are only as strong as the data products behind them. As a Data Management Specialist, you don’t just safeguard data, you design the foundations that make data valuable at scale. You create the standards, frameworks, and operating models that allow teams across bol to build high-quality, reusable, and trustworthy data products.
You enable a world where teams can independently innovate with data, while staying aligned on quality, definitions, and governance. Not by adding process, but by designing clarity, automation, and consistency into the system.
The biggest challenge
Bol is transitioning from fragmented, manual governance to Data Product Governance – a model where governance is embedded, automated, and scalable. The challenge is not to control data, but to enable data products to scale across domains without losing consistency or trust.
You will:
Define standards that work across very different domains and use cases
Balance autonomy for domains with enterprise-wide consistency
Translate complex governance needs into practical, automatable solutions
Shape how governance supports analytics and AI at scale
This is a role where you design the system others depend on and where your decisions directly impact how data is used across the company.
What you’ll do as a Data Management Specialist
You operate at the center of Data Product Management & Governance, where you define how data products are governed and scaled across bol. You design the standards, frameworks, and operating model that enable domain teams to create high-quality, reusable, and trustworthy data products in a consistent and scalable way.
Define and maintain enterprise standards for data quality, metadata, lineage, naming, and data contracts
Own the KPI definition standard and cross-domain harmonization framework to ensure consistent definitions
Design and evolve the Data Product Governance Operating Model, including lifecycle governance gates and control frameworks
Define requirements for automated data governance, cataloging, and data quality controls in collaboration with platform teams
Ensure enterprise-wide consistency across data products and domains, resolving semantic conflicts and governance gaps
Enable adoption through playbooks, templates, training, and support for Data Stewards and product teams
Facilitate cross-domain alignment on metrics, concepts, and standards, acting as a central expert and connecting teams across the organization.
Closely work together with the Data Platform team for (automated) governance solutions.
Why you can make a difference
With 5+ years of experience in data governance, you bring the depth needed to design scalable, sustainable approaches for complex governance requirements. And the pragmatism to make them work in reality! You ‘talk data’ and inspire our stakeholders to adopt data management. You understand that defining standards is only the starting point. The real challenge is making them work across teams, domains, and use cases. You’re comfortable operating in an environment where not everything is fully defined yet. Instead of waiting for clarity, you create it. Knowledge of DAMA principles and CDMP certification (or willingness to obtain it) is a must-have and the foundation for success in this role.
3 reasons why this is (not) for you
Switch to find out
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Complexity amplifier
Your communication style turns simple concepts into something far more complicated than it needs to be. You struggle to translate your thinking into clear, practical guidance, making it harder for teams to adopt and apply your work.
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Manual worker
You focus on fixing individual issues or executing manual processes, rather than stepping back to design solutions that scale. You’re less comfortable turning recurring problems into automated, structural improvements.
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Perpetual planner
You’re most comfortable staying in concepts, frameworks, and plans - but struggle to bring them into practice, drive adoption, and make them work across real teams and use cases.
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System designer
You enjoy designing frameworks, standards, and operating models that don’t just work in theory, but scale across teams and domains. You think in systems, not one-off solutions, and get energy from building something that others can rely on and reuse.
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Clarity creator
You bring structure to ambiguity and help teams navigate complexity with confidence. You align stakeholders around shared definitions and principles, translating abstract concepts into clear, actionable agreements that actually stick.
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Enabler of value
You see governance as a means to an end - not the goal itself. You design standards and frameworks that help teams make better decisions, build better products, and unlock real value from data and AI.
Here's where you'll land
You’ll join the Data Products Management & Governance team within bol’s Data, Analytics & AI department, reporting to the Manager Data Product Governance & Stewardship. You’ll collaborate daily with Data Product Managers, Data Engineers, Product Analysts, Data Scientists, and Data Stewards. Your work sits at the intersection of business knowledge, engineering, and governance. It is also essential to bol’s transition toward data product thinking. With 13.7 million customers and an accelerating AI agenda, the quality and trustworthiness of bol’s data products isn’t a nice-to-have. It’s the foundation everything else is built on. You’ll help make that foundation rock solid.
Perks of having a blue heart
Discover all perks
Bonus
The bonus is calculated at the end of the year and we always end the year with a fun party!
Flexible working
We bring the best of both worlds together by working 50% at the office and 50% at home. This way, we find a balance between organisational and individual needs.
On and off
At bol we understand like no other that you have to take care of yourself first, then your environment and then bol. In that order. Therefore, everyone at bol receives 29 days of vacation.
Interview process
We'll tell you all about applying at bol.
Your application
We’ll review your application with care. We aim to get in touch with you as soon as possible.
First contact
We’ll contact you and walk you through the process and take the first step to set up an interview. And since we’re already talking: feel free to ask any questions you may have.
First date
During the first interview we’ll get to know each other. We want to find out more about you, your work experience and skills.
Your next interview
Before this interview will take place we will ask you to take an online assessment. For some specific jobs we ask you for extra input, for example a business case or a technical assessment. We’ll also discuss the position and the team in depth.
Is this love?
Two interviews are usually enough to see if it’s a match. And if you agree… well, it’s the beautiful beginning of your career at bol.
Any questions?
I'm Andreea Albu, Recruiter at bol. Anything I can help you with regarding the Data Management Specialist vacancy?
Get in touch!
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