SM/AD-Omnichannel Insight

SUMMARY OF THE ROLE
As the pharmaceutical industry accelerates its digital transformation, Customer Insights and Advanced Analytics have emerged as a core engine driving commercial strategy evolution. This role serves as a critical pillar of the company's Digital & AI strategy, carrying the strategic mandate to reshape customer engagement models through data intelligence and lead the organization's transition from an "experience-driven" to an "insights-driven" paradigm.
Positioned at the intersection of commercial strategy and analytical innovation, this role will lead the Customer Insights Analytics team, leveraging the full spectrum of customer interaction data to build a forward-looking insights ecosystem and advanced analytics capability. This will provide strategic-level decision support, enabling the company to establish differentiated competitive advantages in an increasingly complex market landscape. The role holder will serve as a strategic partner to each BU, deeply embedded in commercial planning, translating data intelligence into quantifiable business growth drivers, and ultimately establishing an industry-leading analytics intelligence ecosystem in the customer engagement domain.
We seek a leader who combines strategic vision, commercial acuity, and analytical depth — one who can not only discern the commercial logic behind the data, but transform it into future-oriented strategic action.
ROLE & RESPONSIBILITIES
1. Strategic Planning & Insights Architecture
Insights Strategy & Roadmap Design: Define and advance the mid-to-long-term strategic roadmap for customer insights and advanced analytics, ensuring capability development is tightly aligned with the company's commercial strategy and digital transformation vision
Omni-Channel Insights Ecosystem Development: Leveraging multi-channel customer interaction data (encompassing rep engagements, digital touchpoints, content interactions, and beyond), architect a 360-degree customer intelligence profiling system that delivers deep understanding of customer needs, behavioral patterns, and customer insights.
Insights Assetization: Drive the productization and platformization of core insights, transforming fragmented analytical outputs into sustainable strategic intellectual assets that continuously empower business performance
2. Advanced Analytics Leadership & Innovation
Forward-Looking Analytics Capability Building: Spearhead advanced analytics initiatives including predictive analytics, customer response modeling, Next Best Action intelligent recommendations, and customer journey deep-mining, continuously expanding the analytical frontier to create incremental business value
Methodology & Technology Innovation: Pioneer the application of cutting-edge technologies — machine learning, statistical modeling, natural language processing — within commercial scenarios, establishing the company's methodological leadership in pharmaceutical customer analytics
Analytics Value Loop Management: Establish a complete value closed-loop from insight discovery through business embedding to impact measurement, ensuring analytical outputs translate into measurable commercial returns
3. Strategic Partnership & Business Enablement
Executive-Level Strategic Dialogue: Serve as a strategic analytics advisor to BU VP, deeply participating in commercial planning and strategic discussions, providing forward-looking input and constructive challenge from a data intelligence perspective
Business Growth Enablement: Directly empower business teams to achieve precision-driven operations and growth objectives through insights-driven customer segmentation optimization, resource allocation strategies, and channel mix recommendations
Data Culture Cultivation: Champion the adoption of an insights-based decision-making culture across the organization, elevating the awareness and capability of leaders at all levels to leverage data in commercial decision-making
Ecosystem Integration & Synergy: Actively contribute to enterprise-level digital transformation strategic initiatives, driving deep integration between customer insights and CRM, digital marketing, medical affairs, and other functions to build a unified customer intelligence ecosystem
4. Team Leadership & Organizational Capability Building
High-Performance Team Development: Build and develop an elite team that combines commercial acuity with analytical depth, establishing a clear talent pipeline and capability development framework
Excellence Culture Shaping: Cultivate a team DNA rooted in the pursuit of excellence, embrace of innovation, and closeness to business realities, positioning the team as a universally recognized high-value strategic enablement unit within the organization
REQUIREMENTS
Essential Qualifications
Education: Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics, Marketing, or a related discipline. Master's degree or higher strongly preferred
Experience: 10+ years of experience in data analytics, commercial analytics, or strategic analytics, with a minimum of 5 years at a multinational pharmaceutical company focused on commercial analytics, customer insights, or strategic analysis
Industry Depth: Deep understanding of pharmaceutical commercial operating models, competitive market dynamics, and industry evolution trends. Comprehensive familiarity with the end-to-end customer engagement lifecycle and compliance requirements
Analytical Vision: Possesses the strategic thinking to effectively connect advanced analytics methodologies (predictive modeling, machine learning, statistical analysis) with commercial challenges — excelling not only at "how to do it" but critically at determining "what to do" to maximize business value
Leadership: 5+ years of people management experience with demonstrated excellence in cross-functional coordination and influence within a matrixed organization. Proven ability to unlock team potential and deliver outcomes that exceed expectations
Language: Fluent in both Mandarin and English (written and verbal)
Preferred Qualifications
SFE Experience: Background in Sales Force Effectiveness with deep understanding of KPI framework design, performance analytics, sales resource optimization, and commercial model evaluation
Consulting Background: Prior tenure at a top-tier management consulting firm or a specialized pharmaceutical consulting firm, demonstrating structured problem-solving, executive-level presentation skills, and experience leading strategic engagements
Technical Proficiency: Familiarity with Python/R, SQL, Tableau/Power BI, or other analytics and visualization platforms. Experience with CRM ecosystem data analysis (e.g., Veeva) and understanding of the broader technology landscape
Transformation Leadership: Proven track record of successfully driving analytics capability transformation or data-driven cultural change within large, complex organizations
Industry Thought Leadership: Recognized influence and professional network within the pharmaceutical data analytics, digital, or business intelligence community
Date Posted
08-10月-2026
Closing Date
30-12月-2026
AstraZeneca 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.