Ai Technical Business Partner, Director – R&d China
AstraZeneca
Industrialize ai across r&d
Define ai-ready data strategy
Scale ai from pilots to enterprise
You will bridge the gap between scientific intent and enterprise-grade software execution
Job Summary
You will bridge the gap between scientific intent and enterprise-grade software execution.
You will define the AI-ready data strategy, partner deeply with our data and AI Infrastructure teams, and ensure that our AI solutions transition from isolated pilots to robust, secure, and scalable corporate assets.
Architect the Future: You won't just use tools; you will help define the corporate AI infrastructure for the next decade of drug discovery.
Matching Summary
You will bridge the gap between scientific intent and enterprise-grade software execution.
Skills & Requirements
Must-have
Industrialize AI across R&D
Define AI-ready data strategy
Scale AI from pilots to enterprise
Build functional prototypes with Python
Design agentic workflows and MCP
Implement security guardrails for AI
Experience with MLOps best practices
Nice-to-have
Entrepreneurial and think big
Bridge scientific intent and software
Cross-functional leadership and consensus
Strategic communication to C-suite
Key Requirements
2-3 AI/ML products from concept to enterprise deployment
Experience with Feature Stores or Knowledge Graphs
Familiarity with scientific data standards
Experience with sensitive healthcare data and HGR regulations
Cloud architectures (AWS/Tencent/Ali) and containerization