Want to know if this job is worth applying to?
中国
Onsite
SUMMARY OF THE ROLE
As Data Excellence Manager in SFE department, You will master pharma commercial business scenarios including field sales execution, customer coverage, hospital & retail channel operation, marketing campaign performance, and sales KPI system. Based on in-depth business understanding, you will unify commercial KPI calculation logic, business statistical standards and multi-dimensional business definition standards, build professional pharmaceutical commercial KPI logic library, and embed standardized rules into enterprise business glossary to eliminate cross-team business metric divergence caused by different commercial interpretation.
You apply hands-on data processing skills via Power Query (Excel/Power BI) to perform data profiling, cleansing tasks, and maintain consistent, high-quality data across all BI and AI reports.
ROLE & RESPONSIBILITIES
1. Cross-Functional Liaison for Data Alignment and Central Reporting
2. Data Quality & Integrity Management (With Hands-On Data Processing)
3. Leverage Generative AI, Large Language Models (LLMs) and AI Agents to Optimize Data Management & Reporting Workflows
REQUIREMENTS
Essential Qualifications & Experience
1. Bachelor’s degree in Information Management, Data Science, Computer Science, Pharmacy, Life Sciences, Business Administration or equivalent professional experience; Master’s degree preferred.
2. Minimum 6 years progressive hands-on experience in pharmaceutical/biotech industry, with core experience in commercial data management, SFE data governance, sales & marketing business data analysis or commercial MI reporting; familiar with pharmaceutical industry commercial operation model, medical representative sales scenario, hospital/channel business logic and industry compliance requirements.
3. Practical expertise in metadata management, data lineage, business glossary, critical data element definition and master data harmonization.
4. Strong hands-on data processing capability: Advanced proficiency in Power Query (Excel & Power BI) for data extraction, transformation, merging, deduplication, profiling and building repeatable data cleansing logic; able to independently process large unstructured raw business datasets and deliver standardized clean data assets.
Preferred Qualifications
1. Completed practice or project cases of deploying enterprise AI Agents, generative AI tools (Copilot, Azure OpenAI etc.) within data governance, MI reporting or data stewardship scenarios.
2. Hands-on experience building LLM-aided business glossary, data dictionary and KPI logic standardization tools
Date Posted
21-7月-2026Closing Date
29-9月-2026AstraZeneca 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.