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Ralph Lauren · Hong Kong SAR

# Senior Insights & Data Manager, APAC

Hong Kong SAR Manager or lead Data & Analytics 

Last seen on Ralph Lauren’s official careers site on July 13, 2026; it may have closed since.
[Apply on Ralph Lauren’s careers site →](https://careers.ralphlauren.com/en_US/CareersCorporate/JobDetailCorporate?jobId=65270)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ralph Lauren](https://jobs.opennash.com/companies/ralph-lauren/) / Senior Insights & Data Manager, APAC

## Job description

### POSITION OVERVIEW

The Senior Insights & Data Manager, APAC is responsible for defining and leading the regional customer insights and data strategy across APAC DTC businesses. The role serves as the strategic bridge between data, CRM, clienteling, and commercial teams, translating global customer vision into actionable insights that drive acquisition, retention, personalization, and lifetime value growth. Operating in a highly complex, multi-market region, this role ensures consistent measurement, insight generation, and decision support, while flexing for local market maturity and regulatory requirements.

## Qualifications

### EXPERIENCE, SKILLS & KNOWLEDGE Requirements

8–12 years experience in customer insights, data analytics, CRM, or strategy roles Regional APAC experience in retail, luxury, FMCG, consulting, or technology environments
- Strong analytical thinking with the ability to translate data into actionable business insights
- Excellent communication and stakeholder management skills, with experience engaging senior stakeholders Hands-on experience with CRM systems, analytics tools, and data platforms (e.g., customer data platforms, BI tools)

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 13, 2026
- Last checked: Jul 13, 2026
- Listed for: Under a day
- Location: Hong Kong SAR[Apply on Ralph Lauren’s careers site →](https://careers.ralphlauren.com/en_US/CareersCorporate/JobDetailCorporate?jobId=65270)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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