Senior Director, Global Research Technology Solutions

of the job: Data , Digital & Technology Business Partner ship to the Research Function Strategic Alignment & Roadmap Development: Serve as the primary G RDTS strategic partner to Research function to understand their scientific strategy, priorities, and unmet data/technology needs. Define and own the multi-year Data, Digital & Technology Roadmap for Research, ensuring it directly enables key scientific milestones, accelerates discovery, and aligns with overall R&D strategy. Team Leadership & Talent Development: L ead, mentor, and manage a high-performing GRDTS team dedicated to the Research function. Foster a culture of innovation , accountability and drive professional development for t e am members . Scientific

& Solution Delivery: Oversee & t ranslate complex scientific challenges into clear, documented, and prioritized data, digital & technology requirements and use cases . Oversee the end-to-end delivery of technology solutions specific to Research, including Laboratory Information Management Systems ( LIMS ), Electronic Lab Notebooks ( ELN ), Chromatography Data Systems (CDS) & Mass Spectrometry s oftware , specialized data visualization platforms, and computational biology environments etc. Data, Technology & AI/ML Infrastructure & Platform Development & Management : A ct as the primary business-facing liaison for the Research function to identify & assess gaps & needs from stakeholders , translating them into clear requirements for Systems Engineering to execute as the primary technology and digital solution provider . System Engineering is responsible for design ing , implement ing , manag ing & maint ain ing scalable Research data, technology, AI/ML platform environments as needed . . Work closely with the System Engineering capability area to e nsure the se platform s provide robust capabilities for data repository, management, analytics, ML/AI model usage , version control, lineage tracking, and production deployment of models into research systems. Ensure the FAIR data strategy and roadmap is implemented and maintained and is aligned to overall R&D data & AI strategy. Ensure Research data governance alignment with BeOne Data Governance and enforce data governance, quality, and metadata standards within the Research function to ensure data integrity and reliability for critical decision-making. Vendor Management: Identify, evaluate, and manage strategic technology vendors who provide cutting-edge scientific software and / or AI/ML capabilities , as needed. Operational Excellence, Compliance & Governance: Ensure all R esearch-related systems and data platforms adhere to relevant pharmaceutical industry regulations and internal GTS security policies. Liaise with computer system vendors, IT partners, audit, and compliance to coordinate system implementation and change activities Develop an organizational framework and operating model that support the current and future technology needs for Research that comprises requirements management, solutioning, build, implementation, and administration (run) of global Research platforms, master data, and system interfaces Ensure team is trained in and embeds CSV, compliance, and health authority requirements into operational activities. Manage the Research technology portfolio's budget, resource allocation, and project prioritization process to maximize return on investment. Collaboration & Partnership : Act as the voice of Research function within the broader GTS (Enterprise IT) organization, ensuring it’s needs are prioritized. Collaborate with other teams on standards and best practices. Engage with peers to define, sponsor, and execute continuous improvements. Supervisory Responsibilities: L ead, mentor, and manage a high-performing GRDTS team dedicated to the Research function. Key Capabilities Strategic Roadmap Architecture: Translating long-term scientific objectives into a multi-year digital and technology capability roadmap. Biomedical & Technical Translation: Fluency in "scientific domain speak" to accurately translate complex scientific workflows into structural, technical software and data requirements. Stakeholder Orchestration & Influence: Navigating a matrixed environment to align disparate research functions, internal IT groups, and external vendors around unified platform standards. Solution Lifecycle Oversight: Managing the end-to-end delivery of digital solutions—from initial scoping and vendor selection through deployment and value realization. Technology Portfolio Management: Balancing disruptive horizontal technologies (e.g., Generative AI, RAG frameworks) with the stabilization of foundational research platforms (e.g., ELNs, LIMS, SDMS). Key Competencies Pharma Industry R&D Domain Literacy: A deep end-to-end understanding of the pharmaceutical research and development value chain . AI & Data Literacy: C onceptual grasp of modern data science paradigms, including machine learning lifecycle, foundational model s , and "AI-ready data" requirements. Agile Product Mindset: Treating digital platforms as evolving products rather than static IT projects, focusing on iterative delivery and user-centric design. Strategic Communication: The ability to simplify dense technical architectures for scientific leadership and articulate deep scientific constraints to engineering squads. Transformational & People Leadership: Proven ability to recruit, mentor, and inspire a diverse, high-performing team members . Skilled at fostering a culture of psychological safety, continuous learning, and cross-functional empathy between tech and science. Key Deliverables Research Data, Digital, & Technology Roadmap: A comprehensive, rolling 3-year strategic blueprint mapping technology solutions directly to scientific capability milestones. Business Capability Maps: Visual matrices mapping out current-state vs. future-state technical capabilities across Biology, Chemistry, and Biologics labs. Product Requirements Documents (PRDs): Detailed, prioritized functional and technical requirement backlogs that can be used by the Systems Engineering team to integrate or enhance platforms. Vendor Selection & Proof-of-Concept (PoC) Briefs: Formal evaluations, technical scores, and business cases for onboarding specialized vendor platforms or niche scientific AI tools. Platform Operating Models: Governance structures co-authored with the Systems Engineering capability & GTS to ensure research platforms remain stable, highly available, and optimized during production runs. Cross-Functional Data Governance Policies: Standard operating procedures defining data stewardship, compliance masking, and standardization practices to continuously generate AI-ready data. Team Performance Metrics & Skills Matrix: Clear Key Performance Indicators (KPIs) linked to scientific delivery outcomes, alongside an actively managed competency framework to close technical and domain gaps within the team. Succession Plans & Professional Growth Roadmaps: Structured career pathways and talent retention strategies that cultivate high-performing team members into future R&D IT leaders. Other Qualifications: Overall 15+ years of professional experience in data, digital & information technology with direct oversight and experience in the Pharmaceutical, Biotechnology, and/or Medical Device industries 7+ years of proven leadership experience at a senior level, directing a team of multi-skilled direct reports and associate-level team members. 7+ years combined experience in design, deployment, support, and/or use of Research function focused platforms , systems, software, & repositories . Strong experience in data & AI methods and technologies . Business relationship management acumen and demonstrable success as a change agent leading or contributing to significant transformational initiatives in organizations . Strong experience with software lifecycle methodologies, 21CFR Part 11 compliance, and GxP computer systems validation (CSV) . Accomplished in building and development of people and teams, comfortable working with a broad cross section of people in direct and matrixed relationships Proficient in various project management disciplines (i.e., Agile , Scrum, Kanban, Lean etc. ) Travel: Some travel expected as part of assigned duties 百济神州全球胜任力 当我们通过以下十二项全球胜任力，展现出 "患者为先"、"无界协作"、"锐意创新 "和 "追求卓越 "的价值观时，我们就能帮助全世界更多患者获得更多负担得起的药品。 ●团队协作 ●提供并征求坦诚及可行的反馈 ●自我认知 ●兼容并蓄 ●积极主动 ●开拓精神 ●持续学习 ●拥抱变化 ●结果导向 ●分析性思维/数据分析 ●卓越财务 ●清晰沟通 BeOne Global Competencies When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. ●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 求职者隐私申明： 百济神州致力于尊重和保护您的个人信息权利，并承诺依据合法、正当、必要和诚信的原则处理您的个人信息（包括个人敏感信息 ）。 由于百济神州在全球范围内开展业务，我们可能需要基于人力资源管理等合理业务目的而将您的个人信息发送和/或存储在位于您所在国家以外其他国家（例如：美国）的服务器和数据库中，详情参见百济神州《求职者隐私政策》（百济神州官网 - 隐私政策 - 求职者隐私政策）。 如您主动向我们提供您的简历信息或其他个人信息，则视为您已经充分理解并确认接受百济神州《求职者隐私政策》内容。如您对此有任何疑问的，请勿提交简历信息或其他个人信息。 BeOne is committed to respect and protect your personal information rights, and will process your personal information, including your sensitive personal information, based on the principles of legality, legitimacy, necessity, and integrity. 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