Data Manager

JOB OVERVIEW

The Data Manager is responsible for leading the organization’s data and business intelligence strategy, ensuring the delivery of accurate, timely, and actionable insights to support strategic decision-making. This role oversees the development of a Single Source of Truth, manages data infrastructure, and drives data governance and analytics initiatives. The Data Manager acts as a strategic partner to business leaders, transforming data into business value while mentoring and developing the BI and Data Engineering teams.

Reports To: Head of IT

KEY RESPONSIBILITIES

1. Leadership & Team Management

• Lead, mentor, and develop a team to ensure high performance and continuous growth.

• Define team objectives, KPIs, and workflows aligned with organizational goals.

• Allocate resources and prioritize analytics initiatives across different business squads.

• Foster a data-driven culture and promote collaboration between technical and business teams.

• Conduct performance evaluations and support career development plans.

2. Data Strategy & Governance

• Define and execute the company’s data strategy aligned with business objectives.

• Establish and maintain a Single Source of Truth for all business metrics.

• Develop and enforce data governance policies, standards, and best practices.

• Build and maintain data dictionaries, documentation, and standardized KPI definitions.

• Ensure data quality, integrity, security, and compliance across all systems.

3. Business Intelligence & Analytics

• Oversee the design and delivery of interactive dashboards and executive reports for various business functions.

• Translate business questions into analytical frameworks and actionable insights.

• Conduct advanced analyses such as root cause analysis, cohort analysis, and performance optimization.

• Provide strategic recommendations to support decision-making and business growth.

• Enable self-service analytics for business users.

4. Data Engineering & Infrastructure

• Supervise the design, development, and optimization of data pipelines and ETL/ELT processes.

• Collaborate with the Data Engineer to ensure scalable and efficient data architecture.

• Support the development of data warehouses/lakes and integration of multiple data sources (CRM, ERP, Marketing platforms, APIs).

• Ensure system reliability, performance, and scalability.

5. Cross-Functional Collaboration

• Partner with Marketing, Commercial, Finance, Operations, and PMO teams to understand data needs and deliver impactful insights.

• Act as a strategic advisor to senior leadership on data-driven initiatives.

• Support forecasting, scenario planning, and performance monitoring.

• Drive continuous improvement in business processes through analytics.

6. Innovation & Continuous Improvement

• Identify opportunities to leverage advanced analytics, automation, and AI/ML.

• Stay updated with emerging trends in data management and business intelligence.

• Promote best practices in data visualization and storytelling.

1. Education

• Bachelor’s degree in Dat

Yêu cầu công việc

1. Education

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related field.

• A Master degree (MBA, Data Science, or Analytics) is a plus.

2. Experience

• Minimum 6–8 years of experience in Data Analytics or Business Intelligence, with at least 3 years in a leadership or managerial role.

• Proven experience in building and maintaining data pipelines, data modeling, and reporting systems.

• Experience in E-commerce, MarTech, AdTech, or Affiliate Marketing is highly preferred.

• Experience managing and maintaining large datasets from multiple sources and transforming them into actionable insights.

• Proven track record of enhancing data quality and reliability.

3. Technical Skills

• Strong background in data visualization, with hands-on experience in BI tools such as Superset, or Open Source, Tableau, Power BI, or similar platforms.

• Proficiency in SQL and programming languages like Python.

• Hands-on experience with DAX (Data Analysis Expressions) for building advanced calculations and custom metrics within BI tools such as Power BI.

• Advanced skills in data visualization and dashboard creation such as: Real-time Data Visualization, KPI Dashboards, etc.

• Experience with data modeling, including designing models to support business analysis.

4. Leadership & Soft Skills

• Strong leadership and people management skills.

• Excellent strategic thinking and problem-solving abilities.

• Excellent communication and presentation skills in both English and Vietnamese, with the ability to explain complex data concepts to non-technical stakeholders.

• High level of ownership, adaptability, and business acumen, attention to detail.

• Ability to work collaboratively across departments and with senior management.

Quyền lợi

• Chăm sóc sức khoẻ: Paid premium health insurance after probation
• Hoạt động nhóm: Team building and other various cash and non-cash benefits (holidays bonus, birthday…)
• Khác: A work-life harmony working schedule from 9 AM – 6 PM from Monday to Friday Competitive remuneration package and fully paid in probation period A multinational dynamic working environment that offers various development opportunities Opportunities to