
10,000+ employees
Founded 2013
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
AbbVie is a global pharmaceutical company that discovers and delivers innovative medicines and solutions to enhance lives. With a focus on addressing the world's toughest health challenges, AbbVie operates in over 175 countries, providing a wide range of products across areas like immunology, oncology, neuroscience, and aesthetics. Committed to scientific innovation, AbbVie invests heavily in research and development, aiming to produce first-in-class medicines. The company also emphasizes workplace diversity, sustainability, and patient support initiatives, ensuring positive impact for both its patients and the broader community.
🔥 3 minutes ago
Where this job comes from
Posted on AbbVie's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

10,000+ employees
Founded 2013
🏥 Healthcare
💼 Consulting
🏭 Manufacturing
Healthcare • Consulting • Manufacturing
AbbVie is a global pharmaceutical company that discovers and delivers innovative medicines and solutions to enhance lives. With a focus on addressing the world's toughest health challenges, AbbVie operates in over 175 countries, providing a wide range of products across areas like immunology, oncology, neuroscience, and aesthetics. Committed to scientific innovation, AbbVie invests heavily in research and development, aiming to produce first-in-class medicines. The company also emphasizes workplace diversity, sustainability, and patient support initiatives, ensuring positive impact for both its patients and the broader community.
• Define and continuously evolve the APACMEA data, analytics, BI, and AI roadmap • Align data and AI strategy with regional business priorities and global BTS technology strategy • Lead identification, evaluation, prototyping, scaling, and governance of AI/ML and GenAI use cases • Ensure business relevance, measurable ROI, responsible AI practices, and enterprise compliance • Advance reporting modernization, KPI standardization, self-service analytics, dashboard adoption, and insight generation • Work closely with business stakeholders including IMCO, Business Excellence, and AMI • Strengthen data architecture, master data management, data quality, and lifecycle management • Ensure compliance with global governance and local regulatory requirements, including China-specific PIPL, CSL, DSL, cybersecurity, privacy, and data localization considerations • Supervise, coach, and develop team members • Build capability plans, clear priorities, and succession readiness for the APACMEA data function • Promote data literacy, AI literacy, modern analytics tool adoption, and a data- and AI-driven culture • Provide leadership across APACMEA markets, China business, BTS, regional/global teams, vendors, and data/AI communities • Lead cross-functional project teams, matrix resources, vendors, and communities of practice • Ensure team performance, capability development, coaching, prioritization, and delivery quality
• Bachelor’s degree required in Computer Science, Data Science, Information Technology, Statistics, Business Analytics, Engineering, or a related field • 10+ years of progressive experience in data, analytics, BI, digital technology, product management, or AI-related roles • At least 3 years in leadership, people management, or large-scale matrix leadership • Proven track record of delivering enterprise data, BI, analytics, AI/ML, or GenAI initiatives with measurable business outcomes • Experience across APACMEA or other multi-market regional environments preferred • Strong understanding of China market context, local data compliance, business dynamics, stakeholder expectations, and regulatory considerations • Professional certifications in data governance, cloud, analytics, AI, agile/product management, privacy, or project/program management advantageous • Ability to set vision, shape strategy, influence senior stakeholders, make trade-off decisions, and lead teams through ambiguity and transformation • Strong understanding of commercial priorities, customer engagement, sales/marketing analytics, operational performance, and data/AI business value • Deep knowledge of data modeling, data engineering concepts, analytics design, KPI frameworks, self-service BI, visualization, advanced analytics, and data product lifecycle management • Working knowledge of AI/ML concepts, GenAI use cases, model evaluation, prompt-enabled solutions, responsible AI, MLOps/AI operations, automation, and human-in-the-loop adoption patterns • Familiarity with modern data platforms, cloud data services, BI tools, CRM/commercial data ecosystems, APIs, data integration patterns, and analytics enablement technologies • Fluent English required for regional and global collaboration • Mandarin Chinese highly preferred
• Equal opportunity employer committed to operating with integrity, driving innovation, transforming lives and serving the community
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🕒 July 20
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