01 Zakres zadań

Owning development and maintenance of the AI layer supporting business analytics, including Talk2Data and agent-ready data
Defining, implementing and testing analytical components of Talk2Data – from specification and business validation to release
Building and improving the evaluation framework for AI response quality: metrics, representative Q&A pairs, ground truth and quality monitoring over time
Translating business needs, use cases and rules into requirements, acceptance criteria and analytical specifications
Collaborating with Data Engineers on dimensional data models (star schema), data quality checks, merge request reviews and deployments
Working with large datasets and cloud data platforms to validate data quality, structure and suitability for AI-powered analytics
Collaborating with Product Leads, Business Owners and stakeholders on data ownership and governance standards
Preparing presentations, guidelines and materials for technical and non-technical audiences
Facilitating enablement initiatives such as AI Office Hours and sessions with Product Leads
Improving Talk2Data quality and performance by analysing user feedback, product analytics and evaluation results
Driving adoption of Talk2Data and AI-assisted analytics across the organization

02 Wymagania

8 must-have · 1 język

Must-have

Ekspert

Zaawansowany

Analiza wymagań

Zaawansowany

Zarządzanie interesariuszami

Zaawansowany

Data governance

Zaawansowany

Podstawowy

Wymagane języki

Angielski

Zaawansowany

03 Profil

At least 5 years of experience in an analytical role
Strong background in business analytics, data engineering or a related discipline
Advanced proficiency in SQL and experience with large datasets in cloud data platforms
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
Practical understanding of how AI assistants are built and evaluated (quality metrics, Q&A datasets, ground truth, performance monitoring)
Experience translating business needs into requirements, analytical specifications and acceptance criteria
Ability to tailor communication and documentation to technical and non-technical audiences
Basic familiarity with Git, code review and version control processes
Knowledge of data governance and data cataloguing practices, including tools such as Atlan
Strong stakeholder management and collaboration skills
Analytical and critical mindset for assessing AI-generated outputs
Experience with Databricks would be an asset
Work from the European Union region and a work permit are required

04 O firmie

Xebia

1-5k · Wrocław

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver.

Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network.

The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business.

With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

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