Urgent

Customer Insights & CDP Manager

Engineering Business Analyst Customer Data Platform Consultant

Icon salary Salary
Negotiable
Icon Location Location
Ho Chi Minh

Benefits

13th month salary 13th month salary
Laptop/desktop for works Laptop/desktop for works
Other benefits Other benefits
Work-from-home Work-from-home

Job Overview And Responsibility

We are hiring a Customer Data Platform (CDP) & Customer Insights Manager / Lead to build and lead our customer intelligence 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 using Customer Data Platform architecture - Build the strategy, team, and operating model for CDP and customer 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 customer lifetime value (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'll Own - Set the vision & strategy: • Define the end-state vision for consumer insights, engagement, and retention across our retail and ecommerce portfolio • Translate business goals into a clear roadmap for customer understanding, segmentation, and lifecycle management - Build the function & team: • Design and build the CDP & Customer Insights function from 0 to 1 – including CDP infrastructure, processes, operating cadence, and best practices • Over time, hire, manage, and develop a small team of data analysts / customer insights specialists to scale the function • Establish ways of working with Product, Marketing, Operations, and the AI/Data teams - Design customer & retention programs: • Implement Customer Data Platform (CDP) to unify customer data across all touchpoints, brands, and channels • Build customer segmentation frameworks, cohort models, lifecycle stages, and behavioral triggers from the ground up • Design and test retention and loyalty programs, lifecycle campaigns, win-back strategies, and personalized engagement initiatives that drive measurable LTV and revenue uplift • Create customer health scoring, churn prediction models, and next-best-action recommendations - 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 A/B tests to identify what drives retention, purchase frequency, and ARPU • Use SQL, Python, and BI tools (Tableau, Looker, Power BI) to wrangle data and extract insights • Develop predictive models for customer lifetime value (CLV), churn risk, and expansion opportunities - Leverage AI and modern data tools: • Partner closely with our AI and data engineering teams to use LLMs and modern data stacks to analyze customer behavior at scale • Turn messy, complex data into clear, actionable narratives and recommendations - Own measurement & insight storytelling: • Define and track the KPIs that matter (customer health, cohort performance, retention rate, Net Revenue Retention (NRR), LTV, churn, etc.) • Build reporting and insight packs that help leadership make fast, data-backed decisions • Communicate insights in a structured, consulting-quality way (problem → approach → insight → recommendation → impact) • Establish attribution frameworks connecting CDP initiatives to revenue outcomes

Required Skills and Experience

- Have 5-7+ years leading customer analytics, CDP implementation, retention strategy, or growth initiatives at consumer-facing companies (ecommerce, marketplace, direct-to-consumer (DTC), delivery platforms preferred) - Bonus / Highly valued: Experience in a top-tier management consulting firm (e.g., McKinsey, Bain, BCG) or similar strategy/analytics role in PE-backed or high-growth tech companies - Have hands-on experience with Customer Data Platforms (CDP) such as Segment, mParticle, Tealium, Braze, Adobe CDP, or similar tools - Have experience working with US or international companies and have strong English and data-focused communication skills - Know what good looks like because you've built it before (e.g. launched customer segmentation frameworks, retention programs, or CDP implementations from 0 to 1)—you can envision the end state and work backwards - Are a player-coach: comfortable setting strategy AND getting hands-on with data, SQL queries, analyses, and execution - Deeply understand retention economics: LTV modeling, cohort analysis, churn prediction, customer lifetime value optimization, NRR - Are analytically strong with proficiency in SQL (required) and can wrangle and analyze data to glean real business insights - Thrive in ambiguity and 0-to-1 environments—you know how to build structure where none exists - Are excited about AI/LLMs and see how they can transform customer understanding, personalization, and predictive analytics

Why Candidate should apply this position

- Own the strategy: Define and build customer engagement from scratch for a major ecommerce acquisition as well as help leaders scale data-based marketing efforts across the US for existing operations - Real impact: Your work directly drives retention and customer value across a $600M+ business scaling to $1B+ in revenue - US-market exposure: Travel to the US and get exposure to US work culture and business opportunities - Modern tools: Access to cutting edge AI tools and data infrastructure to do your best work - Competitive package - Hybrid working model - Macbook Pro provided for work - Bonus: 13th month salary - Weekly learning sessions and offsites - Close-knit small team culture

Preferred skills and experiences

- Experience in ecommerce or retail implementing Customer Data Platforms and building data-driven customer intelligence functions - Background building or scaling retention programs, loyalty initiatives, or lifecycle marketing at high-growth companies - Technical skills: Advanced SQL, Python, experience with data warehouses (Snowflake, BigQuery, Redshift) and Customer Data Platforms (Segment, Braze, mParticle, Amplitude) - Experience with BI tools (Tableau, Looker, Power BI, Mode) and marketing automation platforms (Braze, Iterable, Customer.io) - Deep interest in the use of LLMs (or ML) for analytics, customer insights, and predictive modeling - Some understanding of licensed medical cannabis industry in the US

Report to

CEO

Interview process

Overview interview -> Case study and interview (at office) -> Fit interview

Tony Nguyen

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cup 848 interviews
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Icon cup 848 interviews
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