Key Responsibility:

Leadership and Strategy

Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra's Retail & Wholesale businesses.
Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra's competitive edge.

Analytics and AI Execution

Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.

Business Partnership

Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
Evangelize the value of AI and data-driven decision-making across the organization.

People Leadership and Collaboration

Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.

Performance Monitoring and Optimization

Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
Continuously assess and optimize AI-driven processes to maximize business impact.
Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.

Qualifications:

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master's or PhD strongly preferred).
5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
Strong stakeholder management and communication skills across technical and business functions.
Proven ability to prioritize and deliver projects with business impact.
Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.

CP AXTRA | Lotus's

CP AXTRA Public Company Limited.

Nawamin Office: Buengkum, Bangkok 10230, Thailand

By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.

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