Director, Enterprise Data Platforms

BeiGene, Ltd.; Warszawa; On-site; PLN 348,000 - 435,000; Full time

Job summary

BeOne Medicines is building a unified data and AI platform ecosystem to enable trusted data products, advanced analytics, integration, automation, and AI at global scale. This leadership role owns the strategy, architecture, engineering, operations, FinOps, enablement, and governance for enterprise data platforms.

Reporting to the VP of Global Data Strategy, you will drive platform strategy across multi-region operations, ensure regulatory compliance, and lead a global CoE to deliver

Qualifications

• 10+ 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 optimisation, governance, show-back/chargeback, workload policy and capacity management.
• Broad experience managing an integrated data-platform ecosystem, including enterprise integration, MDM, data governance/cataloguing, RPA, and related capabilities.
• Experience in a regulated industry, life sciences or pharmaceuticals preferred, including GxP, validation and data privacy requirements.

Responsibilities

• Define and execute the 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.
• Rationalise 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, support, and cost management.
• Define enterprise patterns for AI-enabled analytics, conversational BI, RAG, evaluation, observability, and responsible AI.
• Partner with domain leaders to turn high-value AI and analytics pilots into secure, reusable enterprise capabilities.
• Maintain an innovation backlog that balances speed, business value, and regulatory discipline.
• Own platform FinOps, including capacity planning, budget governance, and cost optimisation across the data platform ecosystem.
• Create cost transparency through show-back/chargeback, workload policies, tagging, and anomaly detection.
• Establish observability for data products, pipelines, incidents, and remediation ownership.

Skills

Databricks

Azure data services

MLOps/LLMOps

AI/BI

RAG

Data governance

Cost optimisation

Automation

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

IaC

Cloud platforms (Azure/AWS)

FinOps

Job description

General Description

BeOne Medicines is building a unified enterprise data and AI platform ecosystem to help bring affordable medicines to more patients worldwide. This role will shape the foundation that enables trusted data products, advanced analytics, integration, automation, and AI at global scale. Reporting to the VP of Global Data Strategy and Solutions, this leader owns the strategy, architecture, engineering, operations, FinOps, enablement, and governance for enterprise data and AI platforms. The role combines strategic leadership with hands-on technical credibility to deliver scalable, compliant, self-service platform capabilities across regulated global environments.

Essential Functions of the Job

Platform Strategy & Architecture

Define and execute the 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. Rationalise overlapping tools, reduce technical debt, and prevent duplicate investments. Lead vendor strategy, licensing, and partnerships aligned to the platform roadmap.

AI & Advanced Analytics Enablement

Embed AI into the data lifecycle to improve metadata, quality, lineage, documentation, productivity, support, and cost management. Define enterprise patterns for AI-enabled analytics, conversational BI, RAG, evaluation, observability, and responsible AI. Partner with domain leaders to turn high-value AI and analytics pilots into secure, reusable enterprise capabilities. Maintain an innovation backlog that balances speed, business value, and regulatory discipline.

Cost Management & Computational Governance

Own platform FinOps, including capacity planning, budget governance, and cost optimisation across the data platform ecosystem. Create cost transparency through show-back/chargeback, business reviews, workload policies, tagging, and anomaly detection. Set and achieve measurable cost-efficiency targets as workloads scale.

Engineering, Operations & Reliability

Own platform engineering and operational health across architecture, access, infrastructure, CI/CD, observability, and disaster recovery. Deliver platform-as-a-product capabilities, including provisioning, onboarding, secure access, deployment templates, reusable frameworks, and self-service developer experiences. Implement SRE practices for availability, performance, incident management, capacity planning, release management, disaster recovery, and production support. Manage accelerators and reusable frameworks as products with clear roadmaps, release plans, and backlogs. Define the validated-platform approach for GxP-relevant use cases, including risk-based validation, change control, evidence, audit trails, and periodic reviews. Ensure platforms meet SOX, GxP, privacy, and data-residency requirements across global operations. Establish observability for data products, pipelines, anomalies, incidents, and remediation ownership.

Organization, Operating Model & Leadership

Build and lead a global Data Platform CoE/shared-services team across architecture, engineering, DevOps/IaC, FinOps, and observability. Define the engagement model between centralised platform teams and federated domain data-product teams. Engage senior executives and technical leaders to align platform strategy with business priorities. Run communities of practice with data practitioners to refine roadmaps, standards, and platform features. Develop talent through standards, architecture forums, training, coaching, and hands-on technical leadership.

Supervisory Responsibilities

Leads a global data platform organisation of employees and partner resources across Centres of Excellence and shared-services teams. Hires, develops, and manages senior individual contributors and people managers; owns the platform operating and capital budget.

Qualifications

10+ 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 optimisation, governance, show-back/chargeback, workload policy and capacity management. Broad experience managing an integrated data-platform ecosystem, including enterprise integration, MDM, data governance/cataloguing, RPA, and related capabilities. Experience in a regulated industry, life sciences or pharmaceuticals preferred, including GxP, validation and data privacy requirements.

Education Required

Bachelor's degree in Computer Science, Engineering, Information Systems or a related field; Master's degree preferred.

Leadership Attributes

Visionary and hands-on: sets multi-year direction while engaging credibly in architecture and technical design. Proven ability to build and scale engineering teams through CoE, shared-services, or global capability centre models. A simplifier who turns fragmentation into governed, self-service platform capabilities. Excellent communicator who influences senior stakeholders and partners effectively across Infrastructure, Security, and business functions.

Travel

10-15%, including occasional international travel.

Salary Range Poland

347,800.00 PLN - 434,800.00 PLN

Salary Range Portugal

76,800.00 EUR - 96,000.00 EUR

Salary Range Spain

95,200.00 EUR - 119,000.00 EUR

Global Competencies

• Fosters Teamwork
• Provides and Solicits Honest and Actionable Feedback
• Self-Awareness
• Acts Inclusively
• Demonstrates Initiative
• Entrepreneurial Mindset
• Continuous Learning
• Embraces Change
• Results-Oriented Analytical Thinking/Data Analysis
• Financial Excellence
• Communicates with Clarity

Equal-Opportunity Statement

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, colour, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

BeOne is a global oncology company that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a broad portfolio, we are expediting development of our diverse pipeline of novel therapeutics through our internal capabilities and collaborations. We are committed to radically improving access to medicines for far more patients who need them. Our growing global team of more than 11,000 colleagues spans six continents.

To learn more about BeOne, please visit www.beonemedicines.com and follow us on LinkedIn, X (formerly known as Twitter), Facebook and Instagram.

For more information, please visit the link to explore job opportunities in China Mainland.

China Mainland Job Posting

At BeOne, how we work is just as important as the work we do. Below are our Values that determine the decisions we make and how we do things. Patients First Driving Excellence Bold Ingenuity Collaborative Spirit