Senior Manager, Marketing and C&C Data Strategy, Products

About the role

Job Description Summary: Job Objective Drive consumer and commerce data value creation by translating business needs into data-driven insights, scalable data products and AI-enabled use cases. This role is expected to bridge Marketing, Commercial, DTS (MarTech & data) and external data partners, and support better decision-making across consumer understanding, commerce growth, CRM activation, media effectiveness and business performance. This role is beyond reporting or data coordination. The candidate must have strong analytical ownership and sufficient technical fluency to lead vendors, analysts and technical teams, validate outputs, challenge assumptions and ensure business-ready recommendations. Scope Understand business needs and design data-driven analytical solutions Align with HI, Category, E2E, Commercial, Digital and Media teams on high-value business questions and data opportunities. Translate business questions into clear analytical briefs, data requirements, hypotheses and success metrics. Prioritize data use cases based on business value, data readiness, feasibility and scalability. Lead consumer & commerce analytics with strong analytical capability Deliver analysis across consumer segments(WINR), persona, lifecycle, UTC, consumer flow, campaign performance, basket behavior, repeat purchase and retail transaction insights. Combine consumer, commerce and marketing data to identify growth opportunities and actionable business recommendations. Use data query tools (python, SQL), data processing and analytical methods to support data extraction, validation, analysis and insight generation. Drive data product and AI-enabled use case development Work with DTS, global teams and vendors to develop scalable marketing data products and AI-enabled analytical solutions. Define business rules, data definitions, acceptance criteria and validation logic for data products. Support adoption of data products, AI agents or analytical workflows by ensuring they are practical and business-friendly. Manage data sourcing, integration, quality and governance Build and maintain a clear view of available consumer, commerce, media and other marketing data sources in China. Identify data gaps and work with internal teams and external partners to source or integrate relevant data. Support data quality, taxonomy consistency, access control, compliance documentation and responsible data usage. Lead vendors, analysts and cross-functional delivery Lead vendors and analysts in model development, data product delivery, report development and insight generation. Review and challenge methodology, data logic, assumptions, sample definition, model output and business interpretation. Act as the translator between business users and technical teams, ensuring analytical outputs are robust, actionable and adopted by business teams. Job Requirement and Qualifications Core Competencies Strong communication and influencing skills, especially in aligning Marketing, Commercial, DTS(MarTech,data), Legal and external partners. Ability to translate complex data and technical concepts into clear, actionable business language. Strong business acumen in consumer, member, shopper, commerce or marketing analytics. Proactive problem-solving mindset and ability to lead in ambiguous, fast-moving environments. High accountability, attention to detail and structured project management. Functional Competencies Strong understanding of consumer, commerce,media and marketing data, including 1PD/2PD/3PD, digital ecosystems, retail transaction data and platform data. Hands-on analytical capability is required, especially data querying, data joining, data validation, cohort analysis and performance tracking. Experience with Python, R or equivalent coding-based analytical tools is preferred. Experience with statistical and modeling techniques such as segmentation, clustering, regression, RFM, predictive modeling, look-alike modeling or attribution logic. Ability to lead vendors or analysts on data models, data products and AI-enabled analytical solutions without creating black-box dependency. Ability to generate clear insights and strategic recommendations for marketing and commercial teams. Knowledge & Experience: 8-12 years of experience in data analytics, consumer insights, CRM analytics, marketing analytics, commercial analytics, data strategy or data product development. Experience in FMCG, retail, e-commerce, consumer goods, consulting, media/data agency or technology platform preferred. Strong experience collaborating with Marketing, Commercial, CRM, Media, Digital, MarTech and external partners. Experience working with consumer data, retail transaction data, CRM data, campaign data, media data or platform data. Understanding of China digital and commerce ecosystem, such as WeChat, Alipay, ByteDance, Meituan, Tmall/JD or retailer data, is a strong plus. Education & Professional Qualification: Bachelor's degree or above in Marketing, Business

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