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Head of CRM, Growth & Data Analytics

Job in Jakarta Selatan, Jakarta, Indonesia
Listing for: Taman Safari Indonesia
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Analyst, CRM Systems & Management, Business Systems & Technology Analysis, Data Science Manager
Job Description & How to Apply Below
Location: Jakarta Selatan

This role will play a critical part in enhancing customer engagement, optimizing business performance, and enabling data-driven decision-making across the organization.

Key Responsibilities

  • Lead the organization's CRM, Loyalty Program, Marketing Automation, Business Intelligence, and Data Analytics strategies.
  • Drive customer engagement initiatives through data-driven insights and personalized customer experiences.
  • Oversee CRM platforms, customer data, reporting, business intelligence, and analytics capabilities.
  • Lead cross-functional teams responsible for CRM, loyalty, marketing automation, business intelligence, data engineering, and AI analytics.
  • Develop strategies to improve customer retention, segmentation, personalization, and business performance.
  • Support enterprise digital transformation initiatives through advanced analytics and data governance.

Qualifications

  • Bachelor's Degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, Marketing, Business Administration, or a related field.
  • Master's Degree in Business Analytics, Artificial Intelligence, Digital Business, MBA, or equivalent is an advantage.
  • Minimum 5 years of experience in CRM, Customer Analytics, Business Intelligence, Data Analytics, Digital Marketing, or Digital Transformation.
  • Minimum 2 years of leadership experience managing CRM, Data Analytics, Business Intelligence, or Growth teams.
  • Experience in Hospitality, Tourism, Retail, E-commerce, Financial Services, Technology, or related industries.
  • Proven experience implementing CRM platforms, Loyalty Programs, Customer Data Platforms (CDP), Marketing Automation, Business Intelligence, Data Warehousing, AI-driven Analytics, Predictive Analytics, and Enterprise Data Governance.
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