Join Collibra's AI Governance team

As our Product Manager for AI Governance, you will help shape how enterprises govern AI agents and agentic systems, one of the most consequential and genuinely unsolved problems in enterprise software today. You will work closely with peer product managers, engineering, design, and research teams at Collibra, and report directly to the Senior Director, Product Management, AI Governance.

This role sits at the intersection of AI, compliance, and risk. There is no established playbook here and that is precisely the point. We are looking for someone who finds that energising, who will dig into a problem on their own initiative, form a strong perspective, and bring enough clarity for the team to build with conviction. Our team lives by Collibra's value of "open, direct, and kind" ; it shapes how we support each other, make thoughtful choices, and care for our customers.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Product Managers at Collibra are responsible for

• Shaping the problem before the solution researching customer needs, market signals, and the evolving agentic AI landscape to develop well-informed, clearly articulated pitches that the team can act on
• Bringing clarity to complexity, translating the nuances of AI governance (think: agentic systems, runtime controls, compliance frameworks like the EU AI Act or standards like AIUC-1) into product thinking that engineers, designers, and go-to-market teams can all work from
• Prototyping and validating on your own initiative, getting hands-on to test ideas early, whether that means building a rough prototype, running a customer session, or stress-testing an assumption before it becomes a commitment
• Owning outcomes end to end from the first spark of an idea through to delivery and adoption, staying close to what ships and honest about what it achieves
• Collaborating with marketing, sales, customer success and professional services to ensure the product lands well and creates shared value

You have

• Experience co-creating with an engineering team. We care far more about the quality of your thinking than the number of years on your CV. 
• Hands-on experience exploring or building with AI tools. You have formed your own views through doing, not just reading about it
• Familiarity with compliance, risk, data governance, or security.
• Awareness of what it takes to work effectively in environments where the problem is still being defined. You find ways for making meaningful progress anyway
• Experience in product management for B2B software is a plus
• A bachelor's degree or equivalent work experience

You are

• Self sufficient and driven by curiosity you map your own path to a goal, know when to ask for support, and do not need someone to structure your days for you
• Research-oriented and hands-on. You read widely, prototype freely, and genuinely enjoy the process of figuring something out from scratch.
• A clear and honest communicator, you write and speak with precision, especially when things are complex or uncertain, and you bring people with you rather than leaving them behind
• Thoughtful in the face of ambiguity, you generate clarity where there is none, and make considered choices without waiting for perfect information
• Resilient and adaptable, this space will surprise you regularly; you treat that as part of the job, not an obstacle to it

Measures of success are

• Within your first month, you will:
• Develop a working understanding of Collibra's AI Governance product and the agentic AI landscape
• Meet key stakeholders across product, engineering, and go-to-market
• Begin forming your own perspective on where the most interesting problems are
• Within your third month, you will:
• Have shaped and delivered at least one well-defined problem pitch with the team
• Have engaged directly with customers or prospects on their governance needs
• Be contributing on your own initiative to a defined area of the product
• Within your sixth month, you will:
• Own a meaningful piece of the product strategy and be able to articulate and advocate for it
• Have shipped something, learned from it, and already be thinking about what comes next
• Be a trusted voice on AI governance internally and in front of customers

Joining Collibra’s Unstructured AI Team

• Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.
• Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments.
• Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types).
• Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives.
• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Senior AI Engineer at Collibra are responsible for

• Shipping complex systems under ambiguity - balancing speed and precision in real environments.
• Writing and reviewing production-grade code across backend (Python, FastAPI).
• Building/deploying document-processing systems that handle large-scale, unstructured data environments.
• Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs) to provide context for AI features.
• Partnering across engineering, product, and sales teams, ensuring alignment from prototype to rollout.
• Occasionally working with modern frontend development.

You have

• Strong proficiency in Python (data processing, API development, and integrations).
• Hands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection).
• Proven ability to deliver production-grade systems using Big Data frameworks (e.g., Spark) to handle data at scale.
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience ingesting and processing data from third-party enterprise sources (e.g., SharePoint/OneDrive, Salesforce, and SaaS-based knowledge bases).
• Strong communication skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.
• Familiarity with metadata systems, data cataloging, or document AI workflows.
• Knowledge of model evaluation best practices.
• Experience with search relevance.
• A bachelor’s degree or equivalent related working experience is required.
• You must have work authorization to work in Brussels. 

You Are

• Calm, structured decision-making under tight timelines or ambiguity.
• Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
• Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
• Someone who cares deeply about data quality, precision, and governance.
• Strong communication and stakeholder-management skills across technical and business teams.

Measures of Success

• Within your first month, you will develop a deep understanding of our product vision and the unstructured data stack that powers it, shipping your first set of end-to-end features.
• Within your third month, you will take full ownership of technical delivery for key product areas, building robust capabilities that handle complex document processing and ensure a stable, high-performance experience for users interacting with diverse data sources.
• Within your sixth month, you will drive the development of ambitious, enterprise-grade AI product features that solve for data at scale, architecting the high-performance pipelines and advanced context engineering required to deliver accurate, reliable results.

Join Artefact Belgium: Build the Foundation of AI and Data Transformation

Are you an experienced Data Engineer with a passion for building high-performance data pipelines and scalable cloud architectures for the Generative AI era? Artefact Belgium is looking for a Data Engineer to drive innovation and deliver robust data foundations for our global clients. If you have a solid track record in data engineering and consulting, we invite you to shape the future of AI-driven solutions with us in Brussels.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our engineering team in Belgium works on the most advanced applications of data technology, from large-scale data platforms to supporting state-of-the-art GenAI projects. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Data Engineer in our GenAI practice, you will own the end-to-end execution of complex technical challenges. You won't just "move" data; you will build the specialized infrastructure and data flywheels that power the next generation of Generative AI, RAG systems, and autonomous agents.

• Deploy GenAI-Ready Production Pipelines: Design and deploy advanced data pipelines both batch and streaming optimized for processing unstructured data (text, images, audio) to fuel LLM fine-tuning and retrieval-augmented generation.
• Build Scalable AI Platforms & Vector DBs: Hands-on development using modern cloud platforms like Databricks, Azure, or AWS.
• Establish Engineering Excellence for LLMs: Implement best practices in data transformation (dbt), orchestration (Airflow, Prefect, or Dagster), and data governance to ensure that AI solutions are reliable, safe, and compliant at enterprise scale.
• Collaborate on AI Innovation: Work closely with Machine Learning Engineers and Generative AI Specialists to design data models and "data-as-a-service" layers that enable rapid prototyping and scaling of AI agents.
• Software Engineering Foundation: Advocate for clean, maintainable code using Python, SQL, and Git, and leverage containerization (Docker/Kubernetes) to deploy AI-driven microservices.

Who You Are

• Experienced Professional: At least 3-5 years of industry experience in data engineering, ideally within a consulting environment, with exposure to data preparation for AI/ML.
• Deep Technical Skillset: Strong programming skills in Python and proven expertise in Spark (PySpark, SparkSQL) for large-scale data processing and feature engineering.
• Data Transformation Expert: Extensive experience with dbt for data modeling, and a strong curiosity about emerging patterns in "LLMOps" and vector data management.
• Consulting Mindset: Proven ability to navigate multidisciplinary environments and communicate how high-quality data architecture is the primary bottleneck for successful GenAI deployment.
• Education: A Master’s in a quantitative field (Computer Science, Engineering, Mathematics, or a related field).
• Linguistic Versatility: Proficiency in English is required; fluency in Dutch or French is a major advantage for our Belgian market.

What We Offer

• Competitive Compensation: An attractive package aligned with your expertise, including a mobility budget or company car and premium insurance.
• High-Impact Opportunities: Work with state-of-the-art technologies on global projects that transform the world's leading brands through Generative AI.
• Professional Growth: Access to a substantial training budget for individual learning, research into new AI frameworks, and certifications.
• A Collaborative Workplace: Join a diverse team where fun and professional excellence go hand-in-hand, with access to 2,000+ colleagues across 34 global offices.

This position is based in Brussels,  At Artefact Belgium, we value expertise, curiosity, and a drive to innovate. If you're ready to build the data engines of the AI future, we'd love to hear from you.

Ben jij een Senior / Lead Data Engineer met een sterke ondernemersgeest? 🚀

Als Data Engineer help je ons bij het implementeren van de data lake om milieugegevens te verzamelen, verwerken en opslaan van diverse sites.

• Schaalbare datapijplijnen ontwikkelt en onderhoudt met behulp van Azure Databricks.
• Samenwerkt met business data-analisten om databehoeften te begrijpen en oplossingen aan te leveren.
• Dataintegratie- en transformatieprocessen implementeert vanuit diverse bronnen, waaronder REST API's.
• Datastromen optimaliseert en problemen oplost met het oog op performantie en betrouwbaarheid.
• Zorgt voor datakwaliteit en consistentie over verschillende gestructureerde en ongestructureerde databronnen.
• Op de hoogte blijft van de nieuwste trends en best practices binnen data engineering, Databricks en dataintegratietechnologieën.

• Aantoonbare ervaring als Data Engineer met sterke focus op Azure Databricks en aanverwante technologieën binnen het Microsoft data-ecosysteem.
• Bekend met de lakehouse medallion architecture.
• Vaardig in SQL, Python en Apache Spark.
• Grondige kennis van REST API’s, inclusief hoe deze op een veilige en efficiënte manier te consumeren (bijvoorbeeld via Python/Databricks notebooks); ervaring met het binnenhalen en transformeren van JSON/XML-data vanuit web API’s is een grote plus.
• Ervaring met datamanagement & governance via Unity Catalog is een pluspunt.
• Bereidheid en kennis om zelf (technische) rapporten in Power BI op te bouwen.
• Documenteren van je werk is voor jou vanzelfsprekend tijdens analyses en ontwikkelactiviteiten (bijvoorbeeld in Wiki, DevOps, …).
• Je spreekt vlot Engels. Andere Europese talen zoals Frans, Nederlands of Spaans zijn een pluspunt.

Klaar om een verschil te maken? Laten we alvast even kort kennismaken! 🙌