Lead AI Analytics & Solutions Architect

Xebia

Poland

On-site

PLN 180,000 - 240,000

Full time

12 hours ago
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Job summary

Xebia in Poland is seeking an experienced analytics professional to lead the AI-driven analytics layer, integrate Talk2Data capabilities, and ensure data quality for AI-powered insights. You will translate business needs into analytical specifications, collaborate with data engineers, and drive adoption of AI-enabled analytics across the organization.

The role requires strong SQL, cloud data platform experience, and hands-on work with LLM-based tools, with a focus on data governance and

Qualifications

  • 5+ years in analytics or data roles.
  • Strong SQL and experience with cloud data platforms.
  • Hands-on with LLM-based AI tools (e.g., Claude).
  • Ability to translate business needs into clear requirements and specs.

Responsibilities

  • Own development and maintenance of AI layer supporting analytics.
  • Define and test analytical components of Talk2Data solution from spec to release.
  • Build evaluation framework for AI response quality and monitor metrics.
  • Collaborate with Data Engineers to design dimensional models and data quality checks.
  • Validate data quality and suitability for AI-powered analytics on cloud platforms.
  • Present approaches and guidelines to technical and non-technical audiences.
  • Lead enablement initiatives like AI Office Hours for data teams and stakeholders.
  • Drive adoption of AI-assisted analytics across the organization.

Skills

SQL
Data analytics
Data engineering
Cloud platforms
LLM tools
Stakeholder mgmt

Tools

Claude
Power BI
Databricks
Atlan
Git

Job description

Xebia in Poland is seeking an experienced analytics professional to lead the AI-driven analytics layer, integrate Talk2Data capabilities, and ensure data quality for AI-powered insights. You will translate business needs into analytical specifications, collaborate with data engineers, and drive adoption of AI-enabled analytics across the organization.

The role requires strong SQL, cloud data platform experience, and hands-on work with LLM-based tools, with a focus on data governance and

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