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.
