Chief Data & Analytics Officer

Job Description : Chief Data & Analytics Officer (Retail) Job Code: EXP/CDAO-RTL/TH/0226 Location: Bangkok, Thailand Responsibilities: The Chief Data & Analytics Officer (CDAO) will lead the data strategy, governance, and analytics initiatives, CRM strategy and customer loyalty programs within the multiproduct, multi-brand retail business. This is a key leadership role responsible for transforming data into a strategic asset and fostering a culture of data-driven decision-making across the organization. Key responsibilities include: - Define and execute the enterprise-wide data strategy aligned with business goals. - Lead the design and implementation of advanced data analytics platforms to drive customer insights, sales growth, and operational efficiency. - Oversee CRM strategy, ensuring seamless integration of customer data to enhance personalization, retention, and lifetime value. - Lead the planning, launch, and scaling of a large-scale loyalty program, driving customer acquisition and engagement. - Champion data governance, ensuring data quality, security, compliance, and ethical use of customer data. - Collaborate with cross-functional teams including Marketing, IT, Merchandising, and Operations to embed data-driven approaches. - Build and lead a high-performing data and analytics team, fostering continuous learning and innovation. - Stay ahead of industry trends in retail analytics, CRM, loyalty programs, and emerging technologies. Qualifications & Experience: - Bachelor's degree in Data Science, IT, Computer Science, Business, or related fields. MBA or other post graduate qualifications preferred. - At least 15 years of experience in data analytics, CRM, and loyalty programs, with a strong focus on the retail sector, preferably Fashion, Footwear, Food or Non-Food FMCG - In-depth technical knowledge and hands-on experience with technologies, tools and platforms - Proven leadership in implementing large-scale customer loyalty programs. - Expertise in customer analytics, segmentation, predictive modeling, and CRM platforms. - Strong understanding of retail business models, customer lifecycle management, and omnichannel strategies. - Solid experience with data governance, privacy regulations, and ethical data usage. - Excellent stakeholder management and communication skills at the executive level. - Strong leadership with the ability to inspire, influence, and drive change.

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