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Strategic People Experience business partner for Mexico, advising commercial and functional leaders on workforce strategy, employee relations, labor relations, talent and performance management, organization effectiveness, culture, and change. The role manages complex employee matters, coaches leaders, supports succession planning and organizational change, and ensures compliant, accurate, and effective people-process execution.

Promote Pfizer medicines and digital services to healthcare professionals across an assigned territory. Build and maintain customer relationships, develop territory and call plans, deliver compliant product messaging, address on-label inquiries, and drive product demand. Use digital engagement tools, analytics, and approved resources to support HCPs and patients. Collaborate with Medical, Marketing, Market Access, and other cross-functional teams while maintaining pharmaceutical, compliance, and customer insights expertise.

Leads Pfizer China’s AI transformation agenda, including AI strategy, portfolio prioritization, investment value, product development, engineering, platform architecture, LLM foundations, adoption, and China-for-Global reuse. Oversees AI product owners, engineering, platform, value, and PMO teams while partnering with business, technology, compliance, and global stakeholders. Accountable for validated AI products, measurable benefits, secure deployment, cost discipline, and handoff to Digital & Technology for scale and operations.

在地区经理指导下，负责区域内药品的学术推广和客户专业支持，包括拜访客户、传递和反馈药品信息、组织产品学术推广活动，并达成专业技能、行为、合规及业绩等综合工作目标。

Leads Pfizer China’s data engineering and technical semantics capability, delivering governed, AI-ready data foundations across structured, unstructured, and knowledge data. Owns semantic models, BI foundations, data products, agents, AICL delivery, data quality, lineage, observability, governance controls, and China privacy compliance. Partners with business, technology, AI, legal, and compliance stakeholders while building and developing engineering and governance teams.

Leads the global engineering organization supporting Pfizer’s Digital Quality portfolio. Owns platform engineering, solution architecture, integrations, data engineering, DevSecOps, release and environment management, vendor delivery, enterprise technology alignment, compliance, and engineering talent development. The role manages approximately eight direct reports, external partners, and a $10 million annual technology budget while ensuring scalable, secure, validated, and supportable SaaS, COTS, and custom solutions.

Owns value management for Pfizer China’s AI portfolio, including business cases, KPIs, benefits realization, model-cost analysis, investment decisions, and performance dashboards. Translates market insights into Build-Buy-Partner recommendations, identifies globally reusable China capabilities, and prioritizes productization investments. Partners with AI product, technology, finance, procurement, commercial, and governance stakeholders to support funding gates, scale-or-stop decisions, and executive investment reviews.

Owns the vision, roadmap, metrics, and agile delivery of Pfizer’s digital supply chain product portfolio, including AI agents, chatbots, forecasting, and monitoring solutions. Leads product owners, analysts, engineers, and vendors; prioritizes use cases; manages the product lifecycle; ensures data governance, compliance, validation, and responsible AI standards; and reports value outcomes to senior leadership.

Develop and support secure, scalable Appian applications for Pfizer’s anti-corruption compliance platform. Responsibilities include gathering requirements, designing Appian solutions, building interfaces, process models, records, integrations, and APIs, performing testing and code reviews, tuning performance, managing deployments, and resolving post-go-live incidents. The role collaborates with product owners, security, QA, DevOps, architects, and cross-functional Agile teams while contributing to reusable components and continuous improvement.

Owns the vision, roadmap, backlog, discovery, prioritization, and success metrics for AI products. Partners with engineers, users, business stakeholders, vendors, and technology teams to validate desirability, usability, feasibility, adoption, and measurable value. Leads products from opportunity framing through MVP validation and supports transition to scaled ownership.