Total 2 Senior Executive supply chain operator job vacancies in Information Technology category

Get to Know the Team

The Deliveries Analytics team is the analytics and data powerhouse behind Grab's marketplace and on-demand grocery delivery ecosystem. The Supply Chain function focuses on powering one of the most complex parts of the business - instant grocery and retail delivery through 3P and 1P partners. It operates at intersection of inventory, demand forecasting, fulfillment operations, and last-mile logistics. Unlike traditional marketplaces, we manage highly dynamic catalogs, perishable inventory, and real-time fulfillment constraints across dark stores and merchant partners. Our mission is to ensure that what customers want is available, picked, and delivered—fast, reliably, and cost-effectively.

Get to Know the Role

Reporting to the Senior Analytics Manager, you will work with Product, Operations, and Business teams to optimize the inventory-led supply chain, from assortment and availability to fulfillment and delivery. Your work will directly shape how we scale our operations and deliver a seamless grocery experience to millions of users through AI and active experiments.

Your role involves in:

• Reducing stockouts and substitutions
• Improving catalog quality and assortment efficiency
• Optimizing dark store and merchant fulfillment performance
• Balancing freshness, waste, and availability for perishable goods

This role is base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Analyze and optimize inventory availability and assortment performance, including in-stock rates, substitution rates, and catalog health across dark stores and merchant partners
• Solve main supply chain challenges such as stockouts, overstocking, perishability, and demand-supply mismatch
• Develop and monitor core supply chain metrics (eg: in-stock rate, fill rate, substitution rate, waste/shrinkage, order fulfillment time)
• Partner with Product and Operations teams to design experiments (including A/B testing) to improve availability, fulfillment quality, and customer experience
• Build data models and tools to support demand forecasting, inventory planning, and replenishment strategies
• Optimize picker and packing efficiency, batching logic, and fulfillment workflows within dark stores and merchant operations
• Define data requirements and instrumentation for new supply chain features, ensuring accurate and scalable data capture
• Champion AI-first analytics workflows, using automation and new tools to improve forecasting, anomaly detection, and operational decision-making.
• Build dashboards and data products that allow real-time visibility into supply chain performance for operations and business teams

Get to Know the Team

The Product Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

Reporting to Analytics Manager, you'll collaborate across disciplines (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key product metrics and design experiments including A/B testing that shape the future of our products.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with the engineering teams.
• You will drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.