Jiayang

Responsible for driving the D-transformation strategy and AI innovation roadmap across core business functions including Digital Marketing, SCRM, Commercial Excellence, and Supply Chain. Led a cross-functional team of five to manage end-to-end planning, scoping, and execution of high-impact digital initiatives. Collaborated closely withbusiness stakeholders while aligning with global digital team(Netherlands) and external vendors to ensure enterprise-grade delivery quality. Served as a key orchestrator between global CBS teams and local business teams, develop AI applications tomaximize business performance and operational efficiency. Balanced traditional waterfall approaches with agile methodology to manage projects effectively from concept to launch. Beyond delivery, played an active role in shaping the company’s D transformation mindset—evangelizing digital culture, upskilling internal teams, and embedding a scalable capability framework to ensure long-term business adoption and performance. Generative AI chatbot Led the end-to-end design and deployment of two industry-first generative AI products embedded in WeCom and mini-programs—one for empowering in-store promoters, the other for enhancing intelligent customer service. The project was co-developed in partnership with Tencent and involved deep cross-functional collaboration across internal HCP teams, SCRM, sales, IT, and legal/compliance functions to ensure both medical accuracy and regulatory integrity. The AI system, powered by fine-tuned LLM and RAG, automatically pulls from internal brand documentation, HCP knowledge base, and CDP data to deliver medically sound and promotion-relevant responses. Integrated seamlessly into SCRM engagement journeys, it not only enhanced customer trust through professional and personalized interactions but also enabled high-value use case automation and data enrichment. I coordinated alignment between business teams and IT execution teams to ensure strategic, technical, and compliance goals were all met. The initiative achieved outstanding business and operational impact. Achievements: 78% query resolution rate, 93% topic coverage, only 5% human escalation, 23-point NPS improvement, 3,000+ high-value user data points captured and saved over 500 HCP consulting hours per month. 89% adoption of AI promotion strategies (with 37% proven conversion effectiveness) from promoters, and a 27% increase in sales conversion. AI-Based Infant Stool Analysis and Early Health Insight Tool led the cross-functional localization and deployment of a globally developed AI-powered infant stool analysis tool ('Stool Tracker') in the China market. Working closely with the global R&D team, medical experts (HCP team), and local marketing & SCRM stakeholders, we jointly adapted the algorithm using localized infant stool image data to improve diagnostic relevance for Chinese users, ensuring clinical credibility and regulatory alignment. Simultaneously, I partnered with the customer engagement teams to embed the tool seamlessly into our consumer engagement strategy, positioning it not just as a medical utility but also a scalable digital acquisition engine. The tool became the #1 traffic driver in our mini-program, contributing to a 38% UV uplift and a 19-point NPS increase, while significantly enriching precision user data in CDP and enabling hyper-personalized, high-value engagement across acquisition, retention, and conversion. Customer Data Application Led a cross-functional initiative in close collaboration with IT, SCRM, and marketing teams to enhance user experience and conversion across both acquisition (precision targeting on social and e-commerce platforms) and retention (key moments and behavioral prediction in the owned SCRM channels ex. WeChat Mini APP). Leveraged data-driven, personalized engagement strategies to drive performance across paid media and owned SCRM channels. Designed and deployed advanced AI models — including RFM, clustering, classification, propensity scoring, and media mix optimization — using 1st-party CDP data and 3rd-party DMP inputs. These models powered granular customer tagging and segmentation for precision media targeting and personalized engagement in SCRM. Achievements: Improved target audience reach accuracy by 120%, enhanced life-stage and behavioral prediction accuracy by 80%, and boosted user retention by 30%. Media efficiency increased by 74%, traffic conversion improved by 37%, and overall sales rose by 23% through controlled A/B testing. Customer Journey Optimization Utilize MTA (multi touchpoints attribution) algorithms in wechat ecosystem and paid media touchpoints to analysis and optimize consumer journey paths and attributions, provides valuable insights into customer behavior, identifies bottlenecks and drop-offs, and refines content, journey by analysis of the attribution and the transitions of key modules. Achievements: By optimized digital media touchpoints and Mini program consumer journey, result in a 23% reduction in media spend, a 13% increase in CTR, a 68% boost in UV, a 45% rise in revisit rate, and a 39% increase in product interest through A/B testing. Demand forecasting and inventory optimization Led the end-to-end delivery of a high-impact demand forecasting and inventory optimization tool for key SKUs, driving significant improvements in sales support and supply chain efficiency. Acted as the cross-functional project lead, aligning stakeholders from Supply Chain (data provider and end-user), Business Performance (market insights and KPI definition), Sales (execution and feedback), and IT (data infrastructure and system deployment) to ensure business requirements were effectively translated into scalable, AI-powered forecasting capabilities. Transformed fragmented commercial and operational data into actionable insights by driving data pipeline design, predictive modeling (LSTM, TFT, Prophet), and full MLOps automation within the Azure ecosystem. Proactively managed trade-offs across technical feasibility, data availability, and business urgency, ensuring strong stakeholder alignment and on-time delivery of a business-ready solution. Achievements: Improved inventory turnover by 15%, reduced out-of-stock rates by 35%, and decreased SKU-level forecast error by ~20%, while enhancing S&OP integration and enabling data-driven collaboration across commercial and operational teams.

•Established a global Center of Excellence team of 10 data professionals from the ground up, working closely with the team to translate forward-looking digital intelligence strategies into tangible outcomes. •Managed a portfolio of data science projects industrialization spanning commerce, sales, and supply chain(product recommendation system, automated pricing optimization system, demand forecasting, predictive maintenance, and logistics network optimization) while designing the organization's digital intelligence strategy and roadmap. Leverage SCRUM to ensure data utilization aligned with business objectives and project complexities, maximizing data value under limited resources. •Oversaw end-to-end project lifecycle management by developing and implementing robust AI products and reporting solutions that seamlessly integrated with organizational goals. The digital intelligence infrastructure included data pipeline processing, warehousing, model training and testing, deployment, and maintenance, leveraging Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, App Service, Docker, Azure ML and Azure Monitor.