Data Intelligence and Advanced Analytics Manager

AA China continues to expand its commercial footprint and business complexity creating increasing demand for datadriven decisionmaking granular performance insights and scalable analytical solutions. To support this evolution AA China is strengthening its Data Intelligence & Transformation capability to better translate data into actionable business impact.

The Advanced Analyst is a key role within the Data Intelligence & Transformation team responsible for translating complex business questions into deployable analytical and intelligent solutions and ensuring highquality delivery adoption and operational sustainability.

Working under the guidance of the Data Intelligence & Transformation Lead this role partners closely with crossfunctional stakeholders across Commercial BTS and other functions to support analytical solution delivery user adoption and continuous optimization while ensuring compliance with data governance and security standards.

KEY DUTIES AND RESPONSIBILITIES:

Business solution deployment and analytical delivery

Translate crossfunctional business needs into deployable datadriven and intelligent solutions and ensure analytical models and outputs are effectively delivered governed and adopted by end users

• Analyze requirements from functions such as Sales Marketing AMI ADI and SFE and convert business questions into clear analytical scenarios assumptions and specifications.
• Work with stakeholders to clarify use cases success measures and data inputs and contribute to clear and auditable requirement documentation.
• Execute analytical and intelligent application development activities under defined frameworks including data preparation model building testing validation and performance assessment.
• Support solution release and deployment readiness ensuring outputs are usable documented and aligned with agreed analytical standards and governance requirements.

Intelligent applications promotion and continuous iteration

Support the promotion and continuous improvement of intelligent applications by enabling user adoption ensuring solution reliability and driving iterative optimization based on business needs and feedback

• Support rollout and adoption of analytical and intelligent solutions by translating outputs into clear businessoriented language.
• Explain model logic outputs assumptions and limitations to business users to enable correct interpretation and application in decisionmaking.
• Provide user enablement support including training materials communications and daytoday guidance to improve adoption and effective usage.
• Support continuous iteration and enhancement of analytical models dashboards and intelligent applications based on business feedback and evolving needs.

Intelligent applications operations and monitoring

Ensure the stable operation and ongoing performance monitoring of digital and intelligent tools by establishing operational monitoring mechanisms identifying risks and issues early and driving continuous improvement based on usage and performance data.

• Monitor daytoday operation of analytical and intelligent tools including data quality system availability usage patterns and key performance indicators.
• Track user adoption and engagement metrics identify underutilization or performance gaps and support timely issue diagnosis and resolution.
• Establish regular monitoring and reporting mechanisms to assess solution effectiveness operational risks and value delivery.
• Support the stability and sustainability of analytical solutions through routine monitoring maintenance and issue escalation as needed.

Compliance and business digital capability upskilling

Enable business teams to effectively leverage digital and intelligent tools by building practical digital capabilities strengthening data literacy and embedding digital ways of working into daytoday business operations.

• Work with BTS Compliance Legal and Data Security teams to ensure analytical solutions follow technical data security and compliance guidelines.
• Support business teams in strengthening data literacy and practical digital capabilities including understanding data using analytical tools and applying insights in daily operations.
• Contribute to embedding datadriven and digital ways of working into routine business processes.

Qualifications :

Education and Experience

• Bachelors degree or above from a toptier university.
• Educational background in Statistics Computer Science Data Science or other quantitative disciplines preferred.
• Minimum 5 years of relevant experience in the pharmaceutical or healthcare industry; SFErelated experience is preferred.

Essential Skills Experience and Competencies (Includes Licenses Credentials)

• Good understanding of aesthetics or pharmaceutical business and operation models
• Familiarity with SFE methodologies and core performance management concepts is a plus.
• Proficient in using BI and AI tools and platforms such as Power BI ChatGPT Claude and Copilot.
• Strong analytical skills with a high level of sensitivity to data trends and business signals.
• Strong communication skills to explain analytical results clearly in business terms.
• Demonstrated ability and willingness to continuously learn and adapt to new tools technologies and business needs.
• Native in Chinese Fluent in spoken and written English

Additional Information :

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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Work :

No

Employment Type :

Full-time