{"id":49786,"url":"https://alion.io/job/beigene-director-enterprise-data-platforms","title":"Director, Enterprise Data Platforms","company":{"id":99686,"name":"BeOne Medicines","domain":"beonemedicines.com","url":"https://alion.io/company/beonemedicines","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":22,"ghost_share":0,"stale_share":0.909,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"FinOps","optional":false},{"name":"Incident Management","optional":false},{"name":"LLMOps","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-10T23:00:12Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-18T09:14:40Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.\nGeneral Description:\nBeOne 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.\nReporting 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.\nEssential Functions of the Job:\nPlatform Strategy & Architecture\nDefine and execute the multi-year architecture and roadmap for enterprise data and AI platforms.\nPublish standards and reusable patterns for ingestion, integration, streaming, semantic layers, analytics, and AI workloads.\nDesign scalable, multi-domain platforms for regulated, multi-region operations.\nLead architecture governance, technology evaluations, and build-versus-buy decisions.\nRationalize overlapping tools, reduce technical debt, and prevent duplicate investments.\nLead vendor strategy, licensing, and partnerships aligned to the platform roadmap.\nAI & Advanced Analytics Enablement\nEmbed AI into the data lifecycle to improve metadata, quality, lineage, documentation, productivity, support, and cost management.\nDefine enterprise patterns for AI-enabled analytics, conversational BI, RAG, evaluation, observability, and responsible AI.\nPartner with domain leaders to turn high-value AI and analytics pilots into secure, reusable enterprise capabilities.\nMaintain an innovation backlog that balances speed, business value, and regulatory discipline.\nCost Management & Computational Governance\nOwn platform FinOps, including capacity planning, budget governance, and cost optimization across the data platform ecosystem.\nCreate cost transparency through showback/chargeback, business reviews, workload policies, tagging, and anomaly detection.\nSet and achieve measurable cost-efficiency targets as workloads scale.\nEngineering, Operations & Reliability\nOwn platform engineering and operational health across architecture, access, infrastructure, CI/CD, observability, and disaster recovery.\nDeliver platform-as-a-product capabilities, including provisioning, onboarding, secure access, deployment templates, reusable frameworks, and self-service developer experiences.\nImplement SRE practices for availability, performance, incident management, capacity planning, release management, disaster recovery, and production support.\nManage accelerators and reusable frameworks as products with clear roadmaps, release plans, and backlogs.\nDefine the validated-platform approach for GxP-relevant use cases, including risk-based validation, change control, evidence, audit trails, and periodic reviews.\nEnsure platforms meet SOX, GxP, privacy, and data-residency requirements across global operations.\nEstablish observability for data products, pipelines, anomalies, incidents, and remediation ownership.\nOrganization, Operating Model & Leadership\nBuild and lead a global Data Platform CoE/shared-services team across architecture, engineering, DevOps/IaC, FinOps, and observability.\nDefine the engagement model between centralized platform teams and federated domain data-product teams.\nEngage senior executives and technical leaders to align platform strategy with business priorities.\nRun communities of practice with data practitioners to refine roadmaps, standards, and platform features.\nDevelop talent through standards, architecture forums, training, coaching, and hands-on technical leadership.\nSupervisory Responsibilities:\nLeads a global data platform organization of employees and partner resources across Centers of Excellence and shared-services teams.\nHires, develops, and manages senior individual contributors and people managers; owns the platform operating and capital budget.\nQualifications:\n10+ years in data platforms, data engineering, or enterprise data architecture, including 5+ years leading teams and managers.\nDeep architecture expertise with Databricks, Azure data services, and medallion lakehouse architecture at enterprise scale.\nStrong cloud architecture experience across Azure and AWS, including IaC, automation, and global multi-region deployment.\nExperience delivering AI and GenAI platform capabilities, including AI/BI, semantic layers, conversational BI, MLOps/LLMOps, model serving, RAG, vector search, and agentic applications.\nStrong cloud FinOps and automation background: cost optimization, governance, showback/chargeback, workload policy and capacity management.\nBroad experience managing an integrated data-platform ecosystem, including enterprise integration, MDM, data governance/cataloging, RPA, and related capabilities.\nExperience in a regulated industry, life sciences or pharmaceuticals preferred, including GxP, validation and data privacy requirements.\nEducation Required: Bachelor's degree in Computer Science, Engineering, Information Systems or a related field; Master's degree preferred\nLeadership Attributes\nVisionary and hands-on: sets multi-year direction while engaging credibly in architecture and technical design.\nProven ability to build and scale engineering teams through CoE, shared-services, or global capability center models.\nA simplifier who turns fragmentation into governed, self-service platform capabilities.\nExcellent communicator who influences senior stakeholders and partners effectively across Infrastructure, Security, and business functions.\nTravel\n10-15%, including occasional international travel.\nSalary Range Poland: 347,800.00 PLN - 434,800.00 PLN\nSalary Range Portugal: 76,800.00 EUR - 96,000.00 EUR\nSalary Range Spain: 95,200.00 EUR - 119,000.00 EUR\nGlobal Competencies\nWhen we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity, and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.\nFosters Teamwork\nProvides and Solicits Honest and Actionable Feedback\nSelf-Awareness\nActs Inclusively\nDemonstrates Initiative\nEntrepreneurial Mindset\nContinuous Learning\nEmbraces Change\nResults-Oriented\nAnalytical Thinking/Data Analysis\nFinancial Excellence\nCommunicates with Clarity\nWe are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. 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