Senior AI Governance & Enablement Analyst
Summary
Senior AI Governance & Enablement Analyst at Xebia, bridging business and technical teams to govern and evaluate LLM-based AI tools, working with SQL, cloud data platforms, and data cataloguing practices.
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
Your profile:
- at least 5 years of experience in an analytical role,
- a strong background in business analytics, data engineering or a related discipline, with the ability to bridge technical details and business objectives,
- advanced proficiency in SQL and experience working with large datasets in cloud data platforms,
- a comprehensive understanding of data warehousing concepts, including dimensional data modelling and ETL/ELT processes,
- hands-on experience with LLM-based AI tools, such as Claude or similar solutions,
- practical understanding of how AI assistants are built and evaluated, including quality metrics, representative Q&A datasets, ground truth and ongoing performance monitoring,
- experience translating business needs into clear, well-documented requirements, analytical specifications and acceptance criteria,
- the ability to tailor communication, presentations and documentation to both technical and non-technical audiences,
- basic familiarity with Git, code review and version control processes, sufficient to read and review changes and coordinate the merging of work prepared by Data Engineers,
- knowledge of data governance and data cataloguing practices, including tools such as Atlan or similar platforms,
- strong stakeholder management and collaboration skills, with the ability to work effectively with Data Engineers, Product Leads, Business Owners and other cross-functional stakeholders,
- an analytical and critical mindset, with the ability to assess the quality, reliability and business relevance of AI-generated outputs,
- experience with Databricks would be an asset.
Work from the European Union region and a work permit are required.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision