Director, Agentic AI Platform, China

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About the Beijing AI Center 
The Beijing AI Center is a new strategic investment by AstraZeneca to accelerate drug discovery through AI. The center brings together AI researchers, computational scientists, and platform engineers to apply foundation models, agentic AI, and large-scale scientific computing to real R&D problems. Situated in one of the world’s most dynamic AI talent markets, it operates at the intersection of biologics discovery, computational chemistry, and AI-driven drug discovery.

The center is structured around three pillars: Discovery verticals (therapeutic design and preclinical predictions), Data & AI Platforms, and Ecosystem Partnerships with leading Chinese academic institutions and AI companies. This role sits within the Data & AI Platforms pillar, with a mandate to bring the center’s Agentic AI platform to life for China R&D.

About the Role 
This role owns the Agentic AI platform for AstraZeneca’s China R&D organization. You are the single point of product accountability — from vision and roadmap through delivery and measured impact — for the platform that puts agentic AI capabilities in the hands of China R&D scientists and functions.

You connect demand to delivery. You partner with internal customers across China R&D to identify and frame the problems worth solving, translate them into a compelling product vision and a prioritized roadmap, and work with engineers, scientists, and platform teams to ship the right capabilities. You use data and evidence — not opinion — to drive prioritization and trade-off decisions, escalating when necessary without damaging relationships.

You operate at the seams of the organization. The platform only delivers value when it is wired into the broader ecosystem, so you will interface continuously with China R&D, Business Development (BD), and global functions including Enterprise AI — ensuring the China platform both leverages and contributes to AstraZeneca’s enterprise-wide AI strategy.

You will be most visible where the work is hardest. You will own the entire product lifecycle, represent the platform independently across organizations and technical levels, and personally drive the most ambiguous, cross-functional, or time-sensitive decisions from concept through production.

What You Will Do 
Product Vision & Roadmap (35%) 
Connect with internal customers across China R&D to identify, frame, and prioritize the problems the Agentic AI platform will solve 
Create a compelling product vision and strategy for the Agentic AI platform that solves complex R&D business problems and aligns to China R&D and enterprise priorities 
Own the product roadmap and blueprint — sequencing capabilities to ensure value delivery through well-scoped MVPs and prioritized use cases 
Manage trade-off decisions between business opportunities and available resources, using data and evidence to drive prioritization 
Assess build, buy, and partner options for platform capabilities, evaluating partnership and technology opportunities for strategic fit and feasibility 
Execution & Delivery (40%) 
Own the entire product lifecycle of the Agentic AI platform, working with engineers, scientists, and other stakeholders to deliver the right products 
Drive execution, implementation, and delivery of prioritized use cases from idea to production, following lean and agile principles 
Translate requirements into delivery through clear requirements engineering, backlog ownership, and scrum-based ways of working 
Measure and communicate impact — define success metrics for the platform and its use cases, instrument them, and use the results to refine the roadmap 
Explore and solicit innovative concepts and technologies with stakeholders, incorporating emerging agentic AI capabilities into the platform 
Stakeholder Engagement & Communication (25%) 
Interface across China R&D, BD, and global functions including Enterprise AI — ensuring the China platform aligns with and contributes to AstraZeneca’s enterprise AI strategy 
Independently represent the platform and the team, communicating comfortably across organizations and at varying technical levels 
Escalate when necessary to unblock delivery and reconcile business strategy with technical needs, without damaging relationships 
Evangelize the platform’s capabilities and accomplishments through targeted communications, celebration of achievements, and internal and external forums

Requirements 
Experience 
8+ years in science-based technical product management, or equivalent experience in AI/ML development 
Track record of developing strategic product ideas and plans, building technical proposals, and delivering product visions 
Demonstrated ability to drive an AI-based solution from idea to production 
Experience working in cross-functional or matrix environments, influencing across stakeholders 
Skills 
Good understanding of ML/AI/DL techniques, preferably with hands-on experience 
Ability to manage trade-off decisions between business opportunities and available resources 
Strong requirements engineering following lean and agile principles, with experience in scrum 
Highly collaborative, with strong stakeholder communication and management across technical and non-technical audiences 
Able to translate across communication gaps around highly technical information and lead diverse teams toward a common goal 
Understanding of R&D, data science and AI, informatics, records management, and system development in the biotech/pharma industry 
China-Specific 
Ability to work in Shanghai or Beijing on-site 
Mandarin fluency required 
Experience with data and AI regulations in China (e.g., PIPL, DSL, and cross-border data transfer requirements) is highly desirable 
Familiarity with the Beijing talent and innovation ecosystem is an advantage 
Mindset 
Comfortable with ambiguity: the center and the platform are still being built and priorities will evolve 
Bias to ownership: takes end-to-end accountability for the product and drives it without prompting 
Passion for learning new technologies and applying them to real scientific problems 
Energized by leading and influencing across functions to deliver shared outcomes 
Nice-to-Have 
Experience applying AI technologies to scientific or consumer products from idea to production 
Experience with AI data preparation techniques in bioinformatics, ML frameworks, and tooling 
Knowledge of (immune) oncology and drug development processes 
Clinical, diagnostic, or translational science operations experience 
Experience driving innovation events (e.g., hackathons) toward novel solutions

Date Posted
29-9月-2026
Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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