
10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
💊 Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
🔥 6 hours ago
Where this job comes from
Posted on BeOne Medicines's careers page, not through a job board
First seen by Remote Rocketship 6 hours ago
Still open on BeOne Medicines's site. Checked 1 hour ago.

10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
💊 Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
• 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, build-versus-buy decisions, vendor strategy, licensing, and partnerships • Embed AI into the data lifecycle and define enterprise patterns for AI-enabled analytics, conversational BI, RAG, evaluation, observability, and responsible AI • Partner with domain leaders to turn AI and analytics pilots into secure, reusable enterprise capabilities • Own platform FinOps, including capacity planning, budget governance, cost transparency, showback/chargeback, workload policies, tagging, anomaly detection, and cost optimization • 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, release management, disaster recovery, and production support • Ensure platforms meet SOX, GxP, privacy, and data-residency requirements across global operations • Establish observability for data products, pipelines, anomalies, incidents, and remediation ownership • Build and lead a global Data Platform CoE/shared-services team • Define engagement models between centralized 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 and develop talent through standards, architecture forums, training, coaching, and hands-on technical leadership • Hire, develop, and manage senior individual contributors and people managers; own the platform operating and capital budget
• 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 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 • Bachelor's degree in Computer Science, Engineering, Information Systems or a related field • Excellent communication and stakeholder-influence skills across Infrastructure, Security, and business functions • Ability to travel 10–15%, including occasional international travel
• Equal opportunity employment • 10–15% travel, including occasional international travel
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