4 дня назад
Director, Enterprise Data Platforms (AI)
347 800 - 434 800PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Enterprise Data Platforms (AI): Building and scaling unified enterprise data and AI platforms for regulated global pharmaceutical operations with an accent on architecture, platform engineering, FinOps, governance, and self-service capabilities. Focus on designing multi-region lakehouse platforms, enabling GenAI and advanced analytics, establishing SRE and validation practices, and leading a global Data Platform Center of Excellence.
Location: Warsaw, Poland. The role includes 10–15% travel, including occasional international travel.
Salary: 347,800.00 EUR – 434,800.00 PLN.
Company
develops medicines and healthcare solutions focused on bringing affordable treatments to more patients worldwide.
What you will do
- Define and execute the multi-year strategy, architecture, standards, and roadmap for enterprise data and AI platforms.
- Lead platform engineering, infrastructure, CI/CD, observability, reliability, disaster recovery, and production support.
- Enable AI, GenAI, conversational BI, RAG, responsible AI, and advanced analytics as secure, reusable enterprise capabilities.
- Own FinOps, capacity planning, budget governance, cost transparency, and cost optimization across the platform ecosystem.
- Establish validated-platform practices for GxP use cases and ensure compliance with SOX, privacy, data-residency, and audit requirements.
- Build and lead a global Data Platform Center of Excellence and define collaboration with federated data-product teams.
Requirements
- 10+ years of experience in data platforms, data engineering, or enterprise data architecture, including 5+ years leading teams and managers.
- Expertise with Databricks, Azure data services, and enterprise-scale medallion lakehouse architecture.
- Strong Azure and AWS cloud architecture experience, including infrastructure as code, automation, and multi-region deployments.
- Experience with AI and GenAI platforms, semantic layers, MLOps/LLMOps, model serving, RAG, vector search, and agentic applications.
- Experience with cloud FinOps, data governance, cataloging, MDM, enterprise integration, RPA, and workload cost management.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; experience in regulated industries is required or strongly relevant.
Nice to have
- Master’s degree in a relevant discipline.
- Life sciences or pharmaceutical industry experience, including GxP validation and data privacy requirements.
Culture & Benefits
- Leadership role with responsibility for employees and partner resources across global Centers of Excellence and shared-services teams.
- Ownership of platform operating and capital budgets.
- Opportunity to develop senior technical talent through architecture forums, training, coaching, and hands-on leadership.
- Values include Patients First, Driving Excellence, Bold Ingenuity, and Collaborative Spirit.
- International collaboration and occasional travel are part of the role.
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