Head of Global Data Platforms & AI Strategy

BeOne Medicines Ltd.; Polska; On-site; PLN 348,000 - 435,000; Full time

Job summary

BeOne Medicines Ltd. is seeking a senior Data Platform leader to define multi-year architecture for enterprise data and AI platforms.

You will own governance, enablement, and operations across regulated, multi-region environments, shaping scalable, self-service capabilities for AI-driven analytics and data governance. The role reports to executive leadership, requires 8+ years in data platforms with 5+ years leading teams, and involves responsibility for FinOps, observability, and platform ROI

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field; Master's degree preferred
• 8+ years in data platforms, data engineering, or enterprise data architecture, including 5+ years leading teams and managers
• Deep architecture expertise with Databricks, Azure data services, and medallion lakehouse architecture at enterprise scale
• Strong cloud architecture experience across Azure and AWS, including IaC, automation, and global multi-region deployment
• Experience delivering AI and GenAI platform capabilities, including AI/BI, semantic layers, conversational BI, MLOps/LLMOps, model serving, RAG, vector search, and agentic applications
• Strong cloud FinOps and automation background: cost optimization, governance, showback/chargeback, workload policy and capacity management
• Broad experience managing an integrated data‑platform ecosystem, including enterprise integration, MDM, data governance/cataloging, RPA, and related capabilities
• Experience in a regulated industry, life sciences or pharmaceuticals preferred, including GxP, validation and data privacy requirements

Responsibilities

• Define multi-year architecture and roadmap for enterprise data and AI platforms
• Publish standards and reusable patterns for ingestion, integration, streaming, semantic layers, analytics, and AI workloads
• Design scalable, multi-domain platforms for regulated, multi-region operations
• Lead architecture governance, technology evaluations, and build-versus-buy decisions
• Rationalize overlapping tools, reduce technical debt, and prevent duplicate investments
• Lead vendor strategy, licensing, and partnerships aligned to the platform roadmap
• Embed AI into the data lifecycle to improve metadata, quality, lineage, documentation, productivity
• Define enterprise patterns for AI-enabled analytics, conversational BI, RAG, evaluation, observability, and responsible AI
• Partner with domain leaders to turn high-value AI pilots into secure, reusable enterprise capabilities
• Maintain an innovation backlog balancing speed, business value, and regulatory discipline
• Own platform FinOps, including capacity planning, budget governance, and cost optimization
• Create cost transparency through showback/chargeback, business reviews, workload policies
• Set and achieve measurable cost-efficiency targets as workloads scale
• Own platform engineering and operational health across architecture, access, infrastructure, CI/CD, observability, and disaster recovery
• Deliver platform-as-a-product capabilities with templates, self-service, and reusable frameworks
• Implement SRE practices for availability, incident management, capacity planning, and DR
• Manage accelerators and reusable frameworks as products with roadmaps and backlogs
• Define validated-platform approach for GxP use cases including change control and audit trails
• Ensure platforms meet SOX, GxP, privacy, and data-residency requirements
• Establish observability for data products, pipelines, anomalies, incidents, and remediation ownership
• Build and lead a global Data Platform CoE/shared-services team
• Define engagement model between centralized platform teams and federated domain data-product teams
• Engage senior executives to align platform strategy with business priorities
• Run communities of practice with data practitioners to refine roadmaps and standards
• Develop talent through standards, architecture forums, training, coaching, and hands-on leadership
• Hires, develops, and manages senior contributors and managers; owns operating and capital budget

Skills

Data platforms

Data engineering

Lead teams

Architecture governance

Stakeholder engagement

Education

Bachelor's degree in CS/Engineering/IS

Master's degree preferred

Tools

Databricks

Azure data services

AWS

IaC

MLOps

Job description

BeOne Medicines Ltd. is seeking a senior Data Platform leader to define multi-year architecture for enterprise data and AI platforms.

You will own governance, enablement, and operations across regulated, multi-region environments, shaping scalable, self-service capabilities for AI-driven analytics and data governance. The role reports to executive leadership, requires 8+ years in data platforms with 5+ years leading teams, and involves responsibility for FinOps, observability, and platform ROI