AI Hub Lead

• A strategic leadership role with real ownership over a newly created AI Hub.
• Direct impact on the AI roadmap, ways of working and future team structure.
• Opportunity to build and lead a six-person team.
• Employment contract with a salary of up to PLN 40,000 gross per month.
• Hybrid work model in Warsaw: three office days and two remote days per week.
• Long-term opportunity within an international pharmaceutical organisation.

• Approximately 8+ years of experience in analytics, data, AI or software delivery, including leadership responsibility.
• Proven experience delivering AI or analytics solutions into live production environments.
• Experience leading technical teams, managing delivery, budgets and capacity.
• Product leadership experience: backlog management, prioritisation and stakeholder management.
• Experience working with senior business, IT and risk stakeholders, with the ability to explain technical topics clearly.
• Track record of driving adoption - not only delivering technology, but ensuring that users change how they work.
• Experience in a shared services or global business services environment.
• Familiarity with ERP-based processes, such as SAP, and AI governance/responsible-AI practices.
• Experience supporting Marketing, Procurement, Finance or consumer-goods functions will be highly valued.
• Fluent English; Polish will be an advantage.

Tech-stack:

• Microsoft Fabric
• Microsoft Foundry
• Fabric IQ
• Azure OpenAI
• Azure Data Factory
• Medallion Architecture

Responsibilities

• Lead, coach and organise the AI Hub team across current and future AI workstreams.
• Own the delivery plan, priorities, budget and team capacity.
• Define scope, resources, cost rules and acceptance criteria with business owners before delivery begins.
• Manage the full lifecycle of AI agent services, including live-operation support, issue resolution and escalations.
• Ensure successful business adoption and measurable value from delivered AI solutions.
• Collaborate with senior stakeholders across IT, Enterprise Data Governance, Risk, Legal, Privacy and Finance.
• Ensure responsible AI practices, governance requirements, human approvals and evidence for independent risk and release approvals.
• Take ownership of code, testing and documentation handed over by external or interim teams.
• Recruit, onboard and develop the AI Hub team.