Associate Director, Senior Analytics & AI Engineer

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world‑class generics business. Whether it’s innovating in neuroscience and immunology or delivering high‑quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high‑performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

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.

Croatia, Netherlands, Romania or Bulgaria

• 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 implementations
• Ensure solutions are robust, monitored, scalable, and operationally stable

• 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 procurement processes
• Collaborate with IT and platform teams to ensure alignment with enterprise architecture and governance standards

• 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

• 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

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

• 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)

At Teva, better health starts from within, and that includes you. You’ll be supported from day one with benefits such as generous annual leave, reward plans, flexible working schedules (dependent on…