Head of Data Platforms & AI Strategy

Michael Page; Województwo mazowieckie; Hybrid; PLN 400,000 - 640,000; Full time

Benefits offered by this job

Private medical care

Annual bonus

Employee stock purchase plan

Flexible benefits budget

Life insurance

Hybrid work model (3 days in the offi‑

Modern office in Warsaw

Job summary

Global Biotechnology Company seeks a senior leader to define and execute the enterprise data and AI platform strategy. You will set standards for ingestion, integration, analytics, and AI workloads while designing scalable architectures across regions.

You will lead a global team, manage partnerships, and drive FinOps, governance, and platform maturity, ensuring security and regulatory compliance across the stack.

Qualifications

• Experience leading managers, senior engineers, architects, and global technical teams.
• Deep expertise in modern data platform architectures including lakehouse and cloud-native ecosystems.
• Experience operating in highly regulated environments is highly desirable.

Responsibilities

• Define and execute a multi-year vision and roadmap for enterprise data and AI platforms.
• Establish standards, frameworks, and best practices for data ingestion, integration, streaming, semantic models, analytics, and AI workloads.
• Design and evolve scalable platform architectures supporting multiple business domains and regions.
• Lead architecture governance, technology assessments, and strategic platform investment decisions.
• Drive platform simplification by reducing tool fragmentation and technical debt.
• Manage strategic technology partnerships and vendor relationships.
• Leverage AI to improve metadata management, data quality, lineage, documentation, operational efficiency, and platform support.
• Define enterprise patterns for AI-enabled analytics, generative AI, retrieval-augmented generation (RAG), model observability, and responsible AI practices.
• Partner with stakeholders to scale AI initiatives into enterprise-wide capabilities.
• Maintain an innovation roadmap balancing value, risk, and regulatory requirements.
• Oversee platform engineering, cloud infrastructure, access management, automation, CI/CD, monitoring, and resilience.
• Deliver platform-as-a-product capabilities and developer enablement.
• Introduce and mature SRE practices covering availability, performance, incident response, capacity planning, and disaster recovery.
• Govern reusable accelerators, frameworks, and platform services as managed products with roadmaps.
• Ensure adherence to security, privacy, compliance, audit and governance standards.
• Implement end-to-end observability for data products, pipelines, workloads, and health.
• Build and lead a global team responsible for enterprise data and AI platform capabilities.
• Define engagement models between centralized platforms and distributed domain teams.
• Collaborate with senior leaders to align investments with strategic priorities.
• Foster communities of practice and drive adoption of platform standards.
• Develop technical talent through coaching, architecture reviews, and capability-building.

Skills

Data platform architecture leadership

Cloud data platforms

AI / GenAI platform enablement

FinOps, governance & cost optimization

Leadership of global technical teams

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline

Tools

Azure

AWS

Databricks

Infrastructure as Code

Job description

Global Biotechnology Company seeks a senior leader to define and execute the enterprise data and AI platform strategy. You will set standards for ingestion, integration, analytics, and AI workloads while designing scalable architectures across regions.

You will lead a global team, manage partnerships, and drive FinOps, governance, and platform maturity, ensuring security and regulatory compliance across the stack.