Associate Director, Data & Analytics Lead

AbbVie

Associate Director, Data & Analytics Lead at AbbVie with a focus on driving data initiatives across APACMEA. Leading strategic AI, BI, and analytics projects with a strong emphasis on the China market.

Posted 7/10/2026full-timeRemote • 🇨🇳 ChinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and evolving data, analytics, and AI roadmaps while leading teams to deliver measurable business outcomes through advanced reporting, data governance, and analytics adoption. Proficient in fostering a data-driven culture and promoting data literacy across organizations.

Highest-signal resume keywords

Data GovernanceAI/ML InitiativesTeam LeadershipData ArchitectureAnalytics Tools Adoption

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceAI/MLGenAIData Quality ManagementKPI StandardizationDashboard DevelopmentMaster Data ManagementReporting ModernizationData Lifecycle Management

Soft Skills

CoachingTeam DevelopmentStakeholder EngagementData Literacy PromotionCross-Cultural Communication

Tools & Technologies

Analytics ToolsData Management PlatformsBusiness Intelligence SoftwareCloud TechnologiesAgile Methodologies

Certifications & Qualifications

Data Governance CertificationCloud CertificationAnalytics CertificationAI CertificationProject Management Certification

Industry Keywords

HealthcarePharmaceuticalConsumer HealthRetailFinancial ServicesData-Intensive IndustriesRegulatory ComplianceAPACMEAChina Market ContextStakeholder Expectations

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and continuously evolve the APACMEA data, analytics, BI, and AI roadmap
Lead the identification, evaluation, prototyping, scaling, and governance of AI/ML and GenAI use cases
Advance reporting modernization, KPI standardization, self-service analytics, dashboard adoption, and insight generation
Strengthen data architecture, master data management, data quality, and lifecycle management
Supervise, coach, and develop team members
Promote data literacy, AI literacy, adoption of modern analytics tools, and AI/data-driven culture

Requirements

What you’ll need

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, with at least 3 years in leadership, people management, or large-scale matrix leadership
Proven track record of defining and delivering enterprise data, BI, analytics, AI/ML, or GenAI initiatives that generate measurable business outcomes
Experience working across APACMEA or other multi-market regional environments preferred, with strong understanding of China market context, local data compliance, business dynamics, stakeholder expectations, and regulatory considerations
Experience in healthcare, pharmaceutical, medical aesthetics, consumer health, retail, financial services, or other data-intensive regulated industries preferred
Professional certifications in data governance, cloud, analytics, AI, agile/product management, privacy, or project/program management are advantageous
Fluent in English required for regional and global collaboration; Mandarin Chinese highly preferred given the role’s strong China focus and stakeholder engagement needs.

Benefits

Comp & perks

Remote working options