固定期限
Shanghai, Shanghai Shi
消费者市场洞察
全职
29-Jul-2026

Title: CMI Product Manager — Digital Insights & Intelligence Systems

 

Seniority: PM–AM equivalent

Industry: FMCG, Beauty, Consumer Insights / Data Analytics, Social Listening, MarTech

 

About the job

We are hiring a CMI Product Manager to lead the roadmap and day-to-day product operations of L’Oréal China CMI’s Digital Insights & Intelligence Systems — platforms that are widely used by marketers and cross-functional stakeholders across the company.

 

Products in scope (examples; not exhaustive)

  • VOC (Voice of Consumer) platform — consumer feedback intelligence spanning multiple internal data sources and formats.
  • Social Listening systems — social signals tracking, data QA, and insight delivery for business users.
  • Color Trends & related CMI insight tools — trend and insight products that support marketing and business decision-making.

 

Key responsibilities

  • Own the end-to-end lifecycle of CMI digital insight products: roadmap, prioritization, iteration, and stable operations.
  • Partner with IT and external vendors to deliver product upgrades, ensure data quality, and maintain reliable performance.
  • Drive adoption: stakeholder alignment, user enablement/training, documentation, and feedback loops.
  • Maintain governance: access control, risk management, and quality standards for insight outputs.

 

Essential skills

  • 5–8 years of experience in product management for data/insight platforms (e.g., social listening, VOC, analytics, MarTech).
  • Strong cross-functional execution (business  IT  vendor) with high ownership and operational discipline.
  • Solid data skills: strong metrics thinking, hands-on comfort with data validation/QA, and working knowledge of SQL + BI (hands-on is preferred).
  • Strong communication skills with both business and technical stakeholders.

 

Desired

  • Beauty/FMCG experience
  • Familiarity with AI-enabled analytics / AI product features (a plus).
  • Experience scaling internal platforms used by large user bases (a plus)

 

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