Xebia Benefits Overview

Own machine-learning models end to end for caller identity, business identification, spam, and fraud detection. Responsibilities include problem framing, data preparation, training, evaluation, deployment, monitoring, experimentation, drift detection, and incident handling. Build reusable ML tooling and pipelines, establish evaluation standards, collaborate with product stakeholders, communicate results to nontechnical audiences, and document reproducible analyses. Work includes ranking, classification, graph, personalization, and LLM-based models.

Designs and maintains enterprise semantic models and analytical layers using Power BI, advanced DAX, SQL, and Microsoft Fabric. The role translates business KPIs into scalable BI solutions, optimizes performance, manages governance and security, and collaborates with data engineers and stakeholders. It also supports AI-driven analytics, Microsoft Copilot, conversational queries, and reusable models for digital sales and customer behavior insights.

Design and implement federated data governance within a Data Mesh architecture. Establish enterprise standards, ownership models, data contracts, metadata requirements, quality metrics, and lifecycle policies. Partner with engineering teams to implement Databricks governance capabilities, including Unity Catalog, access controls, auditing, and lineage. Lead governance onboarding, develop playbooks, coach domain stakeholders, track adoption and compliance KPIs, and ensure alignment with privacy, security, sustainability, and regulatory requirements.