阿斯利康
Director, AI Strategy & Operations-AstraZeneca Beijing AI Center
Director, AI Strategy & Operations-AstraZeneca Beijing AI Center
发布于 1 天前中层管理(经理/总监)
北京市
高级经验
全职员工
仅现场办公
博士
PIPL
Operations
Stakeholder Management
Partnerships
Bain
Bcg
Mckinsey
AI 估算 · 70k–130k
外企巨头总监级，北京AI中心核心岗，博士+咨询背景稀缺，薪资处于行业高位。
职位详情
关于这个职位
该职位是阿斯利康北京AI中心的核心战略与运营角色，相当于中心负责人的参谋长
你将负责建立中心的运营节奏、决策机制和治理体系，主导战略规划（如生态合作伙伴关系），并管理预算跟踪与跨部门沟通
适合兼具顶尖咨询背景和生命科学博士学历的复合型人才，希望在生物医药AI前沿领域从0到1搭建体系
最低要求
Experience
PhD or advanced degree with a strong life sciences background (computational biology, chemistry, biology, bioinformatics, or a closely related field)
+ years of strategy consulting experience at McKinsey, BCG, Bain, or equivalent top-tier firm
Demonstrated ability to structure ambiguous problems and deliver clear, action-oriented recommendations
Experience in cross-functional or matrix environments; biopharma or technology sector exposure a plus
Demonstrated track record of hands-on delivery: examples of personally building processes, driving implementations, or standing up new capabilities from scratch
Experience driving organizational change: successfully led or contributed to transformation initiatives in complex, matrixed environments
Skills
Exceptional structured thinking: comfortable with issue trees, hypothesis-driven analysis, and synthesizing complex information into clear narratives
Strong written communication: able to draft executive-ready documents, slide decks, and briefing materials independently
Financial literacy: able to build and manage budget models, interpret variances, and communicate financial status to non-finance stakeholders
Operational discipline: takes ownership of agendas, action tracking, and follow-through without prompting
Stakeholder management: credible with both scientific leaders and executive audiences
China-Specific
Ability to work in Beijing full-time (on-site)
Mandarin fluency required
Familiarity with the Beijing talent and innovation ecosystem is an advantage
Mindset
Comfortable with ambiguity: the center is still being built and priorities will evolve
Low ego, high impact: willing to do unglamorous operational work alongside high-visibility strategic work
Curious about AI and drug discovery — working fluency will develop quickly on the job
Discretion and judgment: visibility into sensitive decisions, budgets, and leadership dynamics across the center
工作职责
What You Will Do
Strategy Shaping & Partnerships (30%)
Synthesize the AI in drug discovery landscape — emerging methods, technology capabilities, and external developments — into clear strategic options and recommendations for center and global leadership
Shape the center’s approach to build, buy, and partner decisions across AI capabilities and scientific domains
Develop strategy for the center’s ecosystem partnerships — with academic institutions and AI & tech companies — in close collaboration with China BD and Alliance Management teams
Evaluate partnership opportunities with analytical rigor, assessing strategic fit and feasibility, and prepare structured recommendations for leadership decision-making
Lead strategic planning cycles : design and facilitate quarterly and annual planning processes, translating strategic priorities into executable roadmaps with clear milestones and accountability
Operational Leadership & Hands-On Delivery (50%)
Own the operating rhythm of the center: agenda-setting, cross-functional meeting cadence, action tracking, and follow-through across all functions
Drive budget transparency and forecasting: maintain financial models, flag variances, and translate spend data into clear narratives for leadership
Design and operationalize the center, in collaboration with China & global R&D, AISI, R&D IT, and EDE — with a year-one goal of standing up the full governance and meeting cadence by Q3 2026, and establishing clear accountabilities across the AI Science & Innovation (AISI), R&D IT, and Enterprise Data Enablement (EDE) functions by year-end.
Build operational infrastructure : in year one, build the foundational layer — templates, playbooks, and SOPs for the center’s most critical recurring processes (financial planning & budget cycles, goal setting, partnership reviews) — so that operational decisions do not depend on ad hoc judgment each time
Ensure China-global data sharing compliance : work alongside EDE, legal, and compliance teams to operationalize clear frameworks & apply to cross-border data transfers, partnerships, platform architecture decisions, and vendor agreements. This will require working knowledge of PIPL, DSL, and cross-border data transfer requirements.
Troubleshoot and unblock : identify bottlenecks in real-time and personally intervene to resolve issues, whether that means facilitating difficult conversations, clarifying decision rights, or coordinating across stakeholders
Leadership Communication (20%)
Synthesize center progress, priorities, and decisions into leadership-ready materials for global AI and R&D leadership reviews
Prepare leadership for key moments : anticipate questions, develop talking points, and ensure leaders are equipped with the right information and framing for critical meetings and decisions
Draft briefing documents, pre-reads, and slide decks that communicate clearly across scientific, operational, and executive audiences
优先资格
Nice-to-Have
Prior exposure to AI, data science, or technology platform environments
Experience in biopharma or biotech R&D settings
Experience supporting C-suite or senior leadership in fast-moving environments
AI 洞察
优缺点分析
优点
- 站在AI+药物研发前沿，参与从0到1搭建中心，学习曲线陡峭，视野开阔
- 顶级跨国药企平台，资源丰富，与全球顶尖科学家和AI人才共事
- 战略+运营的复合角色，锻炼全面管理能力，职业发展空间大
- 薪资待遇优厚，外企福利完善，且职位影响力直接
- 工作强度大，需同时应对战略规划和日常运营，初期建设阶段尤为繁忙
- 中心尚在建设，存在不确定性，需适应模糊和变化的环境
- 适合有顶级咨询经验（MBB）、生命科学博士背景、喜欢从0到1搭建体系、渴望在高影响力岗位实现突破的求职者
缺点 / 挑战
- 需要快速学习AI技术和药物研发知识，跨领域沟通成本较高
角色解读
- 内部晋升为AI中心负责人或全球AI策略副总裁，成为阿斯利康AI转型的关键人物
- 在生物制药行业向更高级别管理岗位发展，如首席数字官或研发运营负责人
- 积累AI+药物研发复合经验后，可转型为AI初创公司高管或战略投资合伙人
- 建立并优化北京AI中心的运营节奏、决策流程和治理机制，确保中心高效运转
- 主导战略规划（如年度/季度目标设定）和生态合作伙伴策略，评估合作机会并提出建议
- 管理预算跟踪与财务建模，确保资源分配透明，并向全球领导层汇报
- 处理跨部门（如法务、IT、合规）的复杂问题，确保数据共享合规（PIPL等）
- 顶尖战略咨询能力（MBB优先）：结构化思考、假设驱动分析、战略方案输出
- 扎实的生命科学背景（博士学历），理解药物研发流程和AI应用场景
- 卓越的运营执行力：能亲自搭建流程、起草SOP、推动跨职能落地
- 出色的沟通与利益相关方管理能力，能与科学家和高管层有效协作
申请策略
- 在求职信中强调对生物医药AI的热情和从0到1的成就感，而非单纯追求稳定
- 提前研究阿斯利康AI中心的公开信息（如官网、学术合作），面试时展现对公司的深度了解
- 突出MBB等顶级咨询公司4年以上的项目经验，尤其是生物医药或科技行业的案例
- 强调亲手搭建流程或运营体系的经历（如建立新团队、设计SOP等）
- 展示生命科学博士研究的深度和与AI/计算相关的交叉技能
- 如有跨文化、跨国协作经验，务必提及，因需与全球团队合作
- 补充AI在药物发现中的基础知识（如AlphaFold、分子生成模型、数据平台），可通过Coursera等自学
- 了解中国数据合规法规（PIPL、DSL），尤其跨境数据传输要求
面试指南
- 使用STAR法则（情境、任务、行动、结果）结构化回答，强调具体操作和量化成果
- 对于战略问题，先拆解关键假设，展示结构化思维（如MECE原则），再提出备选方案及利弊
- 对于合规问题，表明你了解框架但依赖专家，并展示协调能力（如与法务、IT协作）
- 如何为一个新成立的AI中心设计运营节奏和治理框架？请举例说明
- 过去在咨询中如何为生物医药客户解决一个模糊的战略问题？
- PIPL和数据跨境合规如何影响AI药物研发合作？你会如何应对？
- 如果中心预算超支，你如何与利益相关方沟通并调整计划？
- 描述一次你亲自领导跨职能项目从概念到落地的经历
匹配度报告
76
综合匹配度
顶级外企AI中心战略运营总监，前沿技术+高成长，但要求全职现场办公且工作强度大。
适合人群
最适合追求前沿技术和高成长、能承受高强度工作、渴望在生物医药AI领域留下印记的求职者。
最强匹配
成长发展匹配
最弱匹配
工作生活匹配
薪资福利80
成长发展90
工作生活50
使命价值85
薪资福利匹配
80较高
薪资未明说，但外企总监级在华待遇优厚，福利完善，补偿性较好。
薪资信号未披露（AI估算：70K-130K/月）
成长发展匹配
90较高
职位核心是建立创新中心，涉及前沿AI+药物研发技术，成长空间巨大。
技术前沿前沿/新兴技术
技术栈AI、Foundation Models、Agentic AI、Drug Discovery、PIPL
业务类型ambiguous
工作生活匹配
50较低
要求全职现场办公，无远程或弹性选项，WLB信号不明确。
工作模式仅现场办公
办公地点未明确
加班情况明确要求弹性/高强度
使命价值匹配
85较高
加速药物研发、改善患者健康，社会意义明确，行业发展前景好。
行业发展高速增长赛道
社会影响正向社会影响力较高
使命信号accelerate drug discovery
创新程度开拓性创新（行业首创）
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