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CÔNG TY TNHH PUZZLE STUDIO
Phường Tân Sơn Nhất, Hồ Chí Minh

Head Of Data

⏳ Tin này đã hết hạn nhận hồ sơ (hạn nộp: 31/07/2026). Công ty có thể đã tuyển xong. Bạn vẫn đọc được mô tả bên dưới để tham khảo yêu cầu và mức lương của vị trí này.

12.2–22.6 triệu · tham khảo📍 Phường Tân Sơn Nhất, Hồ Chí MinhXem việc đang tuyển tại công ty →

Mô tả công việc

1. About the Company

Puzzle Studio is a fast-growing mobile game studio with a mission to create fun, creative, and high-quality puzzle games for players around the world.

We are guided by our core values of Determination, Dedication, Continuous Learning, Proactivity, and Collaboration, which shape how we work and grow together. At Puzzle Studio, we aim to deliver gaming experiences that bring joy and relaxation to our players.

If you are passionate about gaming, eager to learn, and excited to turn creative ideas into reality, we’d love to have you on our team.

2. Overview

We are looking for a Head of Data to lead the Data & BI Team, reporting directly to the CEO and Board of Directors (BOD) and managing the Data Engineering (DE) and Data Analytics (DA) teams.

Puzzle Studio is a fast-growing mobile game studio developing and publishing casual and puzzle games for global players. Our business operates across multiple user acquisition channels, including Direct UA and MCPE/Reward, together with advertising monetization (AppLovin MAX) and in-app purchases (IAP). Business decisions across campaign scaling, LTV:CAC optimization, fraud detection, and product optimization are all driven by data.

As the company continues building its Single Source of Truth (SSOT) data platform, all operational data is being centralized into a unified data warehouse (ClickHouse), standardized through multiple layers from Raw, Staging, Mart, Cohort, to KPI, and governed by a centralized Semantic Layer where business metrics are consistently defined across the organization. Our long-term vision is to evolve from traditional dashboards into an AI-powered Decision Intelligence Platform, enabling natural language analytics through AI technologies such as WrenAI and Large Language Models (LLMs).

As the owner of this vision, the Head of Data is responsible for ensuring that data becomes the company's single, trusted source of truth, empowering teams across Executive Management, User Acquisition, Product, Ad Monetization, and Finance to make faster, more accurate, and data-driven decisions.

3. Key Responsibilities

3.1. Data Strategy & Single Source of Truth (SSOT)

  • Develop and own the company's data roadmap, aligning Company OKRs with Strategic Initiatives (STR) and Jira Epics, while regularly reviewing and adjusting priorities based on business needs.
  • Establish and govern the company's Single Source of Truth (SSOT), including defining official data sources for each business domain, enforcing the principle of no direct KPI overrides in dashboards, and managing the KPI definition change process.
  • Serve as the Directly Responsible Individual (DRI) for resolving data discrepancies and ensuring a single source of truth across all teams.

3.2. Data Architecture & Platform

  • Own the company's BI infrastructure architecture, covering the entire data flow from Data Sources → AWS (collection, validation, routing) → ClickHouse Data Warehouse (Raw, Staging, Mart, Cohort, KPI) → Semantic Layer → Reporting → AI Analytics.
  • Ensure data pipelines (Airflow, ETL/ELT) operate reliably with monitoring, data quality controls (missing, duplicate, invalid data), and backup & recovery mechanisms.
  • Define the infrastructure strategy to optimize query performance, cloud costs, and scalability as the number of games and data volume continue to grow.

3.3. Semantic Layer & KPI Governance

  • Own the Semantic Layer, the core foundation of the data platform, by defining standardized cohort models (D0, D1, D7, D30, D90) and key business KPIs including LTV, CAC, ROAS, Retention, ARPPU, and ARPDAU.
  • Develop and maintain the company's KPI Dictionary, Business Glossary, Formula Catalog, and Threshold Framework as standardized references across the organization.
  • Own and govern business decision engines, including the Headroom Engine, Campaign Scoring, D7-to-D90 Proxy Analysis, and Cheat Metrics.

3.4. Business Decision Support

  • Support User Acquisition (Direct UA and MCPE) by building lifetime cohort-based LTV:CAC frameworks, distinguishing Direct fixed CAC from MCPE cumulative CAC, and providing headroom analysis and campaign classification to support campaign scaling and bidding decisions.
  • Support Product teams by analyzing retention, churn, level progression, feature adoption, and user journeys, focusing on identifying root causes rather than simply reporting metrics.
  • Support Ad Monetization through analysis of ARPDAU, eCPM, waterfall and floor optimization, and ad placement performance across Rewarded, Interstitial, and Banner formats.
  • Lead anti-cheat analytics by identifying fake installs, fraudulent IAP activities, and bot traffic while quantifying fraud costs for bidding optimization.
  • Provide Executive Management and Finance with executive dashboards, P&L reporting, profitability analysis, and unit economics aligned with the company's North Star metrics.

3.5. AI Analytics (Future Direction)

  • Lead the roadmap from ClickHouse → Semantic Layer → WrenAI → LLMs (Claude/GPT) → Chat Interface, enabling natural language access to business KPIs and insights.
  • Establish AI security principles by ensuring AI models only access the Semantic Layer rather than raw data, while developing an RCA (Root Cause Analysis) Library and internal knowledge base to support AI-driven insights.

3.6. Team Leadership & Development

  • Lead, recruit, and develop the Data Engineering and Data Analytics teams, with clear ownership between infrastructure & pipelines (DE) and business logic & semantic modeling (DA).
  • Manage Agile delivery processes including sprint planning, sprint reviews, story point estimation, backlog prioritization, and BI request tracking.
  • Promote self-service analytics to reduce dependencies between Data Engineering and Data Analytics while standardizing onboarding processes and technical documentation.

Yêu cầu ứng viên

4. Requirements

Must Have

  • At least 5 years of experience in Data, Business Intelligence, or Analytics, including a minimum of 2 years in a team leadership or management role overseeing Data Engineering and/or Data Analytics teams.
  • Strong experience designing and implementing layered data warehouse architectures and Single Source of Truth (SSOT) frameworks, including Semantic Layer and KPI governance.
  • CÔNG TY TNHH PUZZLE STUDIO · 📍 Phường Tân Sơn Nhất, Hồ Chí Minh

    Việc khác tại CÔNG TY TNHH PUZZLE STUDIO

Head Of Data12.2–22.6 triệu · tham khảo · 📍 Phường Tân Sơn Nhất, Hồ Chí Minh
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