---
title: 'Data Enablement Lead at Lalamove'
canonical: 'https://feeny.ai/job/data-enablement-lead-lalamove-hong-kong-qd0qhn4bb7cm'
type: 'job'
last_seen: '2026-09-07'
---

# Data Enablement Lead at Lalamove

- **Company:** Lalamove
- **Location:** Hong Kong, China
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/lalamove/0f4f12a0-f80e-4afa-b934-f8a8b139e53e

## Job description

We are seeking a versatile, highly motivated Data Enablement Lead to bridge the gap between complex backend data infrastructure and business-facing analytics solutions. In this role, you will be the core engine driving analytics, reporting, and self-service data products for our Business Unit (BU). While our central data infrastructure team handles enterprise-wide platform needs, you will take ownership of our BU's specific data stack—coordinating with the central team to manage existing upstream pipelines while building and maintaining our own localized data pipelines when speed and agility are required. Beyond standard dashboards and data pulls, your goal is to revolutionize how non-technical stakeholders interact with data. You will design next-generation data consumption tools—ranging from high-performance data cubes to AI-driven query bots—empowering our BU to get answers instantly.

What we seek:

Hands-On Engineering & Tooling

- Data Pipelines & Backend: Build, maintain, and optimize data pipelines feeding our BU’s analytics layer. Work across our core data platform (Apache Hive) and high-performance OLAP backend (Apache Doris).

- Next-Gen Data Tools: Architect non-data-person-facing tools to automate data access, such as setting up data cubes/semantic layers and building AI/LLM-powered data bots (e.g., text-to-SQL / natural language data querying).

- Architecture & Standards: Establish best practices for data modeling, pipeline monitoring, and data quality within our BU's local repository

Technical Project Management & Coordination

- Cross-Team Collaboration: Act as the primary technical interface between analytics / operational team and the central platform data engineering team.
- Project Delivery: Scope, prioritize, and manage the end-to-end lifecycle of analytics engineering projects, translating non-technical needs into clear technical specifications.
- Enablement & Stakeholder Management: Educate and support operational team on self-serve tools, documentation, and data literacy initiatives.

What you'll need:

Technical Skills

- Data Engineering & Warehousing: 5+ years of experience in data engineering, analytics engineering, or technical data product management.

- Stack Expertise: Strong proficiency in SQL and Python. Solid experience with large-scale data warehouses (Apache Hive) and modern OLAP engines (Apache Doris, ClickHouse, StarRocks, or similar).

- Data Product & AI Innovation: Demonstrated interest or experience in building interactive data tools (e.g., Cube.js, semantic layers) or leveraging AI/LLM frameworks (e.g., LangChain, OpenAI APIs, Text-to-SQL pipelines) to simplify data retrieval.

- Data Modeling: Deep understanding of dimensional modeling, star schemas, data aggregation, and query optimization techniques.

Project & Stakeholder Management

- Proven ability to coordinate across cross-functional engineering teams with competing business priorities.

- Strong project management skills—able to track dependencies, mitigate risks, and manage stakeholder expectations clearly without micro-managing.

- Pragmatic approach to the "Build vs. Coordinate" tradeoff—knowing when to rely on central platforms versus when to build lightweight local solutions.

To all candidates- Lalamove respects your privacy and is committed to protecting your personal data. This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice

## About Lalamove

## Company Overview
- **One-liner**: Lalamove is an on-demand delivery technology platform that connects individuals, small businesses, and corporations with a diverse fleet of professional drivers for fast and reliable same-day deliveries across 17 markets.
- **Entity Type**: Private (Unicorn, Series F funded)
- **Headquarters**: Hong Kong
- **Founded**: 2013
- **Founders**: Chow Shing-Yuk (founder), John H.K. Tang (co-founder)

## Core Business
- **Primary industries**: On-demand logistics / last-mile delivery, software development (delivery technology)
- **Target customers**: Individuals (B2C), small-and-medium businesses (SMB), and large enterprises (B2B)
- **Mission**: To empower local communities by making deliveries fast, simple, and affordable

## Products & Services
- **On-Demand Delivery Platform (App & Web)**: Mobile-first service that enables users to book deliveries from a fleet of vehicles (motorcycles, sedans, vans, trucks up to 12,000 kg) with real-time GPS tracking and transparent, upfront pricing.
- **Business Solutions**: Tailored logistics support for MSMEs and large enterprises, including dedicated account management, pooling options, and API integrations.
- **Lalamove Driver App**: Connects driver-partners with delivery and transport requests, providing flexible earning opportunities.

## Market Standing
- **Valuation**: Unicorn; total funding raised is approximately $2.476B, with the most recent Series F round (January 2021) led by Hillhouse Investment and HSG at $1.5B (conflicting reports of $1.0B–$1.5B may exist).
- **Key Metric**: Annual Revenue of ~$1.04B (2025 estimate); total funding ~$2.48B ([LinkedIn financials](https://linkedin.com/company/lalamove)).
- **Notable Investors/Partners**: Hillhouse Investment, HSG, Shunwei Capital, MindWorks Capital, Crystal Stream Capital, and others across 8 funding rounds.
- **Growth Signals**: 1,562 employees (+33.8% YoY), presence in 400 cities across 17 markets (Asia, Latin America, EMEA), strong headcount growth driven by expansion into new geographies like Bangladesh, UAE, Saudi Arabia.

## Competitive Advantages
- **Scale & Network Effects**: Operating in 17 markets with a large base of driver-partners and users creates a strong moat in local last-mile delivery.
- **Technology Platform**: Proprietary matching algorithm, real-time tracking, and dynamic pricing provide efficiency and reliability.
- **Asset-Light Model**: No ownership of fleet—works with professional driver-partners, reducing capital expenditure and enabling rapid scaling.
- **Multi-Vehicle Fleet**: Covers small parcels (motorcycles) to heavy freight (trucks), serving a wide range of customer needs.

## Strategic Focus
- **Geographic Expansion**: Continued growth in Latin America (Brazil, Mexico) and EMEA (UAE, Saudi Arabia), as well as deepening presence in existing Asian markets.
- **Tech & AI Innovation**: Hiring for AI roles (e.g., Senior AI Engineer focusing on OCR/VLM) and investing in Business Intelligence, suggesting a push toward automation and data-driven operations.
- **Talent Development**: Launch of Global Trainee Program and Tech Graduate Program to build senior leadership and engineering talent pipelines.

## Why Work Here
- **Culture**: Described as fast-paced, dynamic, and challenging—employees work in a “startup unicorn” environment with meaningful impact on local communities.
- **Work Policy**: Mixed; roles are often listed as on-site (e.g., Hong Kong, Mexico City) with some regional or hybrid positions.
- **Growth Opportunities**: Structured graduate programs (Global Trainee, Tech Graduate) and clear career progression across departments (Operations, Sales, Tech, Marketing).
- **Perks**: Not explicitly listed, but the company emphasizes “endless opportunities to learn, advance, and grow” and a culture of overcoming challenges as a team.
- **Employer Rating**: 3.5/5 on LinkedIn (based on 954 reviews), with strengths in mission-driven work but room for improvement in career development (2.8/5).

## Sources
1. [Lalamove Career Page](https://www.lalamove.com/careers)
2. [LinkedIn Company Profile](https://linkedin.com/company/lalamove)
3. [CB Insights Company Profile](https://www.cbinsights.com/company/lalamove)
4. [Lalamove Philippines About Page](https://www.lalamove.com/en-ph/about-lalamove)
5. [Lalamove Job Board (Lever)](https://jobs.lever.co/lalamove)

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- [Driver Supply & Growth Manager [Marketplace Ops | Last Mile | ride hailing]](https://feeny.ai/job/driver-supply-growth-manager-marketplace-ops-last-mile-ride-hailing-lalamove-8sr6n8p4qyxd) — Mexico City, Mexico
- [Senior Public Affairs Associate](https://feeny.ai/job/senior-public-affairs-associate-lalamove-bangkok-qh72hw6yv066) — Bangkok, Thailand
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