公司简介

"百事公司是稳居全球500强的食品和饮料公司之一,业务范围遍及世界上近200个国家,拥有20+个年销售额超过10亿美元的品牌,诸如深受众多消费者喜爱的乐事薯片、百事可乐、桂格麦片、百草味等产品。"
"百事公司是稳居全球500强的食品和饮料公司之一,业务范围遍及世界上近200个国家,拥有20+个年销售额超过10亿美元的品牌,诸如深受众多消费者喜爱的乐事薯片、百事可乐、桂格麦片、百草味等产品。"
D&AI Product Management:
•Build trusted partnerships with China Sector Leadership, S&T and functional stakeholders to co-shape a data-driven growth agenda.
•Translate global D&AI strategy and programs into a China-specific product roadmap and OKRs; continuously prioritize the backlog for maximum business impact.
•Orchestrate cross-functional squads through Ideation → MVP → Scale, ensuring on-time, on-budget and value-accretive delivery of data products, analytics solutions and AI use-cases.
•Champion adoption of the Enterprise Data Foundation, canonical data models and global AI/ML standards within all China initiatives.
•Enables global D&AI and Digital programs deployment in China
•Drive change-management, data literacy and citizen-developer upskilling to embed AI-first culture.
•Track product KPIs, real-world ROI and continuously optimize run costs and performance.
•Represent China needs in the global D&AI forums; shares local learnings and influence worldwide roadmap.
•Evaluate emerging Data & AI capabilities, partner with D&AI Solution architects and recommend pilots that unlock business value.
Platform Leadership (≈ 20 %)
•Partners with the Global D&AI Platforms and Architecture teams to ensure China workloads are designed, deployed and operated in line with security, scalability and compliance requirements (China Cyber-Security Law, PIPL, etc.).
•Guide the migration of legacy analytics assets to Global standards (Azure, Databricks)
•Oversee performance tuning, cost management and incident resolution for China data-platform components.
•Bachelor’s degree in Computer Science, Data Science, Engineering or Business; Master’s preferred.
•10 + years in Data, Analytics or AI, including ≥ 5 years in Data & AI product-management leadership; exposure to CPG or fast-moving consumer-goods a plus.
•3 + years hands-on experience designing or operating cloud data/AI platforms on Azure (or AWS/GCP).
•Demonstrated success delivering data-driven products that generated measurable commercial impact in China.