About the Team:
Walmart Global Logistics is a dynamic organization dedicated to delivering efficient, reliable, and innovative supply chain solutions worldwide. Our team manages the movement of goods from origin to destination, ensuring products reach Walmart stores and customers on time and in optimal condition. We focus on end-to-end logistics solutions, global transportation management, operational excellence, technology and innovation, and continuous improvement.
About the Role:
As a Sr Manager of Analytics and Data Science, you will lead the development and deployment of advanced analytics, AI, and data science solutions to drive operational excellence and data-driven decision-making across Global Logistics. You will be responsible for building scalable data architectures, upholding rigorous data governance, and fostering a data-literate, innovative culture. Your work will enable predictive and prescriptive analytics, support GenAI-powered insights, and ensure the highest standards of data quality, security, and compliance.
What you will do:
• Design, develop, and implement AI-powered models and tools, advancing the team from descriptive analytics to predictive and prescriptive insights.
• Build and maintain scalable data architectures and pipelines to support robust, compliant, and accessible data environments for advanced modeling.
• Maintain and refine the data blueprint, ensuring consistent, organized, and easy-to-use information across Global Logistics.
• Uphold and advance data governance standards to improve data completeness, timeliness, accuracy, quality, security, and compliance.
• Lead data integration efforts, defining information flows between systems and optimizing data usage across teams.
• Translate business needs into practical data requirements and future-focused, scalable solutions.
• Provide clear, actionable insights that connect data to business impact, enabling better planning, decision-making, and operational outcomes.
• Promote data literacy, self-service analytics, and GenAI-enabled insights for teams across Global Logistics.
• Mentor and support team members, fostering a culture of innovation, continuous learning, and responsible AI adoption.
• Track and report on key performance indicators (e.g., On Time Delivery, cost, model accuracy, business impact), leveraging analytics to generate actionable recommendations.
• Ensure all analytics and AI initiatives comply with data privacy, security, and governance requirements.
What you will bring:
• Advanced proficiency in machine learning, statistical modeling, and AI tool development, with a proven ability to deliver impactful solutions in complex, data-rich environments.
• Strong foundation in data engineering, including experience with data architecture, pipeline development, and data quality management.
• Proficiency in SQL and BigQuery, with the ability to write queries, troubleshoot data issues, and generate clear insights.
• Experience with analytical tools such as Python (Pandas, NumPy), Power BI, Tableau, and other data visualization platforms.
• Deep understanding of data stewardship, governance, and compliance, with a commitment to maintaining high standards of data integrity.
• Creative problem-solver with the ability to translate ambiguous business challenges into scalable, automated solutions.
• Ability to simplify complex information and connect data to clear business outcomes.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders and influence cross-functional partners.
• Passion for continuous learning, innovation, and the practical application of AI and analytics to deliver measurable business outcomes.
Success Metrics / KPIs:
• Increased data usage and adoption of self-service insights.
• Improved accuracy of data and reduction in data-related defects.
• Clear business impact demonstrated through better On Time Delivery (OTD), cost, and planning outcomes.
• Strong data stewardship reflected through improved quality, lineage, and compliance scores.
• Growth of GenAI-powered insights and responsible adoption of AI standards across Global Logistics.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.Walmart doesn’t charge any recruitment or similar fee in the recruitment process, including but not limited to interview, offering, and onboarding