Data Governance and AI Governance Analyst (Technical Profile)
If hearing “we now have a complete lineage in the data catalog” gives you more of a buzz than getting a shiny in Pokémon GO… GMV is your place!
We're expanding our Big Data and Artificial Intelligence division to participate in projects in the healthcare sector. We're looking for someone who's just getting started in the world of data and wants to develop their skills in the design, implementation, and maintenance of tools that ensure the responsible, secure, and effective use of data.
We like to get straight to the point — we’ll tell you what you won’t find online. If you'd like to know more about us, visit our website:
WHAT CHALLENGE WILL YOU TAKE ON?
Join our amazing team in the area of Data Governance and Responsible AI, where every day we tackle key challenges to ensure the secure, ethical, and effective use of data and AI models:
Support the implementation of data governance policies and best practices (quality, security, cataloguing, lineage, etc.).
Assist in the documentation and tracking of AI models: traceability, explainability, bias detection, validation, and versioning.
️ Help maintain and evolve tools for data cataloguing, lineage, and model monitoring.
Contribute to the creation and updating of data dictionaries and taxonomies.
Automate governance processes using scripts, APIs, or dedicated tools.
Collaborate on technical documentation, reports, and dashboards.
Interact with development, data science, infrastructure, and compliance teams to ensure regulatory compliance and technical excellence.
WHAT DO WE NEED FROM YOU?
We’re looking for profiles with a technical background and motivation to grow in an environment where data, AI, and compliance go hand in hand:
Studies in Computer Engineering, Systems, Computer Science, Data Science or related fields (graduates or advanced students).
Basic knowledge of databases (SQL) and data structures.
Familiarity with concepts and tools such as ETL, data lakes, data warehouses, and APIs.
Interest in data quality, privacy, AI ethics, and regulatory compliance.
We’ll also value previous experience and knowledge of:
️ Public cloud and experience with major hyperscalers: AWS, Azure, Google Cloud, or IBM Cloud.
Data platforms such as IBM Cloud Pak for Data, Stratio, Cloudera, or similar.
WHAT DO WE OFFER?
Hybrid work model and 8 weeks of remote work per year outside your usual geographical area.
Flexible working hours and reduced summer and Friday schedule.
A personalized career plan, training, and language learning support.
National and international mobility. Coming from abroad? We offer a relocation package.
Competitive salary with regular reviews, flexible compensation, and discounts on major brands.
Wellbeing program: health, dental and accident insurance; free fruit and coffee; training on physical, mental, and financial health, and much more!
️ In our selection process, you’ll always be contacted personally, either by phone or online, by our talent acquisition team. We will never ask for transfers or bank details. If you’re contacted through a different process, write to our team at
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