AD-Commercial Analytics & Insights

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 28-7月-2026 Clos