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Head of Data

UrBox - Công ty Cổ phần Tiếp Thị Số Tô Quà ·
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Giám đốc
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Hồ Chí Minh, Quận Tân Bình

Tổng quan

  • Data Strategy
  • Define and execute UrBox‘s enterprise Data strategy aligned with business objectives.
  • Build and govern the enterprise data architecture to ensure scalability, reliability, security, and data consistency.
  • Identify and prioritize high-impact data initiatives and use cases that create measurable business value.
  • Drive data literacy and foster a data-driven culture to support business decision-making.
  • Data Platform & Engineering
  • Lead the development and continuous enhancement of the enterprise data platform, architecture, and data pipelines.
  • Ensure high-quality, reliable, and accessible data across customer, merchant, campaign, and transaction domains.
  • Build and maintain a scalable data foundation that supports reporting, analytics, and business growth.
  • Business Intelligence & Customer Analytics
  • Drive initiatives that improve customer retention, reward utilization, campaign ROI and revenue growth.
  • Develop reporting frameworks and monitor departmental KPIs, tracking monthly performance and progress against business objectives.
  • Generate actionable insights across customer behavior, loyalty engagement, merchant performance and campaign effectiveness.
  • Develop data products, dashboards, and self-service analytics that enable business teams to make faster and more informed decisions.
  • Develop and enhance data-driven fraud detection and anomaly monitoring capabilities to proactively identify suspicious transactions and mitigate business risks.
  • Data Security & Governance
  • Establish enterprise-wide data governance, including data access policies, role-based permissions, encryption standards, data lifecycle management, and compliance with applicable data protection and security requirements.
  • Define and enforce enterprise data standards, business definitions, and input validation rules to ensure consistent, accurate, and trusted data across all source systems.
  • Build sustainable data quality monitoring, validation, and governance processes to improve the trust, consistency, and reliability of enterprise data assets.
  • Leadership & Stakeholder Management
  • Build, lead and develop a high-performing Data organization.
  • Lead client-facing data and analytics initiatives, collaborating with internal teams and external stakeholders to deliver data-driven solutions and measurable business outcomes.
  • Partner closely with Product, Technology, Commercial, Marketing and Operations leaders to deliver business impact.
  • Mentor team members and strengthen data capabilities across the company.
  • Bachelor’s degree in computer science, Information Systems, Data Engineering, Mathematics, Business Analytics, or a related field.
  • Master’s degree in Business Administration (MBA), or a related discipline is preferred.
  • 10+ years of experience in Data, Analytics, Business Intelligence, Data Engineering or related fields.
  • 5+ years leading data teams and managing cross-functional stakeholders.
  • Experience in building and scaling enterprise data platforms, analytics capabilities, and data-driven organizations.
  • Deep knowledge of data modeling, data governance, data quality, and modern cloud-based data platforms.
  • Experience partnering with executive leadership teams to drive strategic initiatives.
  • Proven experience designing and implementing enterprise data platforms, data architecture, pipelines, and scalable data solutions.
  • Experience in defining and implementing business and operational KPIs to measure organizational performance.
  • Experience in advanced analytics and working with Data Science teams to deliver data-driven solutions.
  • Experience in designing and implementing customer and product data tracking frameworks to support analytics, customer insights, and business monetization strategies.
  • Experience leading Data & Analytics functions in B2C, loyalty, rewards, fintech, e-commerce or customer engagement businesses is highly preferred.
  • Kinh nghiệm: 8 Năm

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