Associate Director, Senior Analytics & AI Engineer

Associate Director, Senior Analytics & AI Engineer

Teva

Multiple Locations

Our Team, Your Impact

We are seeking a hands-on Senior Analytics & AI Engineer (Associate Director level) to design, build, and operate production-grade analytics and AI solutions within Global Procurement.

This role combines data engineering, BI, ML, GenAI, agentic AI and software engineering to deliver scalable and reliable AI / data products in a modern PowerBI and Databricks environment. The focus is on translating procurement and business requirements into robust technical solutions that operate reliably in enterprise production environments.

Location: Croatia, Netherlands, Romania or Bulgaria

How You’ll Spend Your Day

Analytics & AI Solution Engineering

• Design, build, and maintain production-grade analytics and AI solutions on Databricks (Python, PySpark, SQL)
• Develop scalable data products supporting procurement analytics, decision intelligence, and AI-driven workflows
• Translate procurement and business requirements into maintainable technical imple-mentations
• Ensure solutions are robust, monitored, scalable, and operationally stable

BI, Decision Intelligence & Automation

• Build enterprise analytics solutions in Power BI, including semantic models, datasets, and dashboards
• Design reusable data models and KPI logic supporting procurement decision-making
• Enable self-service analytics and standardized reporting across procurement functions
• Drive integration of analytics and AI into operational procurement processes
• Enable automation of analytics and operational workflows using Power Platform (Power Automate)
• Support integration between AI solutions, reporting platforms, and operational procure-ment processes
• Collaborate with IT and platform teams to ensure alignment with enterprise architecture and governance standards

GenAI & Agentic AI

• Build GenAI solutions such as contract analysis, supplier intelligence, and procurement copilots
• Apply practical Agentic AI patterns including retrieval, orchestration, evaluation, and workflow automation
• Integrate APIs, tools, and business logic into AI-assisted workflows

Software Engineering & Engineering Excellence

• Develop high-quality production code using:
  • Python
  • PySpark
  • SQL
• Apply modern software engineering best practices including:
  • Git-based development
  • testing and validation
  • modular and reusable architecture
  • CI/CD and deployment discipline
• Apply modern AI software engineering practices, including effective use of coding agents and AI-assisted development workflows
• Build and maintain production AI/ML systems with enterprise reliability standards

Your Skills and Experience

• 10+ years of relevant experience in:
  • data engineering
  • analytics engineering
  • applied AI / ML
  • software engineering
• Proven experience delivering and operating production-grade enterprise data or AI systems
• Advanced Python
• Advanced PySpark
• Advanced SQL
• Strong experience with Databricks
• Strong experience with Power BI (semantic modeling, enterprise reporting, datasets)
• Experience with:
  • machine learning in production environments
  • GenAI applications (LLMs, RAG, embeddings)
  • agentic AI systems and orchestration patterns

Also Good to Have

• Procurement, sourcing, or contract analytics experience
• Advanced data modeling (dimensional and semantic layer design)
• Full-stack engineering experience including:
  • databases
  • frontend frameworks in JavaScript and/or Python
  • APIs and end-to-end application development
• Solution architecture experience in cloud environments (Azure preferred)