The Role
Lead analytics enablement for a Business Unit by building and optimizing BU-specific data pipelines (Hive, Doris), designing semantic layers and AI/LLM query tools, managing analytics engineering projects, coordinating with central platform teams, and driving stakeholder enablement and data-quality standards.
Summary Generated by Built In
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:
- 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
- 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.
Hands-On Engineering & Tooling
Technical Project Management & Coordination
What you'll need:
- 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.
- 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.
Technical Skills
Project & Stakeholder Management
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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
Skills Required
- 5+ years experience in data engineering, analytics engineering, or technical data product management
- Strong proficiency in SQL
- Strong proficiency in Python
- Solid experience with large-scale data warehouses (Apache Hive)
- Experience with modern OLAP engines (Apache Doris, ClickHouse, StarRocks, or similar)
- Experience building interactive data tools or semantic layers (e.g., Cube.js) and AI/LLM-powered data tooling
- Familiarity with AI/LLM frameworks and APIs (e.g., LangChain, OpenAI APIs, Text-to-SQL pipelines)
- Deep understanding of dimensional modeling, star schemas, aggregations, and query optimization
- Proven cross-functional coordination and strong project management skills
Lalamove Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lalamove and has not been reviewed or approved by Lalamove.
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Strong & Reliable Incentives — Incentive programs such as missions, bonuses, and vehicle‑sticker promotions are highlighted as ways to boost driver earnings, with occasional commission reductions further enhancing take‑home. These extras can make the platform appealing for supplemental income and busy periods.
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Healthcare Strength — Corporate roles in some markets describe access to employer‑provided medical and dental coverage. This indicates a conventional health benefits baseline for office staff.
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Leave & Time Off Breadth — Office locations reference paid holidays, sick leave, and some work‑from‑home flexibility. This points to standard time‑off provisions for corporate employees in select markets.
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The Company
What We Do
Established in December 2013, Lalamove was created to make on-demand and same-day delivery possible for everyone at the touch of a button. Today, Lalamove operates in over 20 markets across Asia, Latin America, and the United States connecting over 7 million customers with a pool of over 700,000 driver partners. Our driver partners operate a vast array of vehicles to suit each market including lorries, trucks, vans and cars for deliveries of almost anything of any size. Fleets of two-wheel vehicles are also available for courier services providing fast and low-cost delivery solutions. Through dedicated mobile and web apps, Lalamove seamlessly connects users and drivers around the world to move things that matter.
