DescriptionThe Opportunity
We are hiring a Consumer Insights Manager / Lead to build and lead our consumer insights function (based in Vietnam, focused on the US market). This is a founding leadership role where you will:
- Define how we understand our customers across a multi- brand portfolio
- Build the strategy, team, and operating model for consumer insights from the ground up
- Partner directly with senior leadership (including ex- consultants from Bain, AC Nielsen, Google, Tiki, Trusting Social) to drive retention, loyalty, and LTV
You will sit at the intersection of strategy, analytics, and execution, working with a strong AI (LLM) and data engineering team that is building data → insights → action loops.
What You&039;ll Own
+ Set the vision & strategy:
- Define the end- state vision for consumer insights, engagement, and retention across our retail and e- commerce portfolio
- Translate business goals into a clear roadmap for customer understanding, segmentation, and lifecycle management
+ Build the function & team:
- Establish ways of working with Product, Marketing, Operations, and the AI/Data teams
- Over time, hire, manage, and develop a small team of analysts / specialists to scale the function
- Design and build the Consumer Insights function from 0 to 1 – including processes, operating cadence, and best practices
+ Design customer & retention programs:
- Design and test retention and loyalty programs, lifecycle campaigns, win- back strategies, and engagement initiatives that drive measurable LTV and revenue uplift
- Build customer segmentation frameworks, lifecycle stages, and engagement strategies from the ground up
+ Lead through doing (player- coach):
- Be a player- coach: comfortable both setting direction and being hands- on in the data
- Build dashboards, design analyses, and structure tests to identify what drives retention, frequency, and ARPU
+ Leverage AI and modern data tools:
- Turn messy, complex data into clear, actionable narratives and recommendations
- Partner closely with our AI and data engineering teams to use LLMs and modern data stacks to analyze customer behavior at scale
+ Own measurement & insight storytelling:
- Build reporting and insight packs that help leadership make fast, data- backed decisions.
- Define and track the KPIs that matter (customer health, cohort performance, retention, LTV, churn, etc.)
Communicate insights in a structured, consulting- quality way (problem → approach → insight → recommendation → impact)