Live opening · Posted 15 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Billigence is a Business Intelligence, Data Analytics & AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including Data Governance, Cloud Architecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.
Get to know us better at our LinkedIn, Cocuma profile or Instagram ⭕
We're looking for someone who understands that AI is only as good as the data and context behind it. You have a strong BI background, a solid understanding of data management, and the drive to make enterprise data AI-ready for our clients across different industries.
What will you do:
Build data governance and data cataloging solutions in tools like Collibra, Dawiso, Ataccama, Atlan, Coalesce and Confluence
Build the context layer for AI: business glossaries, semantic models, lineage and metadata that let RAG and agentic solutions answer questions in the client's own language
Design data quality and observability rules that keep data and AI outputs trustworthy
Help clients set up AI governance by cataloging AI use cases, models and agents, defining ownership and controls accordingly with their regulatory obligations
Gather business requirements and translate them into concrete solutions
Be the bridge between business and IT - communicating with analysts, management, and technical teams with equal ease
Run end-user trainings and enablement so people actually understand and use what you build
Contribute to knowledge sharing through internal sessions, webinars, and tech talks
What do we expect:
Solid BI background and a good understanding of data governance or data management principles
Experience with data governance frameworks, data catalogs, or visualization tools
Curiosity about GenAI in an enterprise context - RAG, agents, semantic layers, AI governance and the judgment to tell hype from value
Confident communicating with both technical and business stakeholders
Hands-on, proactive approach - you take ownership and follow through
Drive to deliver quality work that genuinely meets client needs
Willingness to keep learning new tools, new domains, and achieve new certifications
Business consulting background or understanding of internal business processes
Fluent Czech and English on a professional level
What can you expect:
Work on international projects using cutting-edge data tools – seriously, the best tech available
Solid benefits package: extra 10 days of leave, Multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more
Hybrid flexibility – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that
AI-friendly by default – we stay current, experiment with new tools, and treat AI as a genuine work partner
Genuinely collaborative culture, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun
Continuous learning and development to keep your skills sharp
A diverse, global team of friendly data professionals, who really get along
If you're a keen sportsman, you'll find plenty of company here 🏃♀️
By submitting your application, you confirm that you have read and understood our Data Privacy Notice for Job Applicants, available under this link.
Employment type
Full-Time
Work arrangement
No
Your early-applicant advantage
Live timing from JobBeeper.
More openings worth a look
Recently tracked roles with full details and direct application links.