This role supports the operation of a functional area through advanced analytics, business insight, and data-driven problem solving. The role may translate complex requirements into actionable solutions, support strategic initiatives, and enable informed decision-making through data quality, visualization, and analysis.The Senior Manager, Data Analytics & AI Transformation is responsible for leading the development, maintenance and continuous improvement of data, analytics and AI-enabled tools that support Merchandising Operations.

The Senior

Manager owns the ongoing performance, reliability and enhancement of existing Merchandise Operations tools, including forecasting and assortment planning capabilities. This includes ensuring tools remain accurate, relevant and effective as business needs evolve, proactively identifying opportunities to improve functionality, automate manual processes and enhance the user experience.A key mandate of this role is to drive AI and analytics transformation across Merchandise Operations. Through a deep understanding of the business, its financial priorities and operational challenges, the Senior Manager anticipates analytical needs and proactively develops reporting, insights and AI-enabled solutions that help teams identify risks, uncover opportunities and drive sales, gross profit and inventory productivity.

Acting as a critical link between business teams and Data/Engineering teams, the Senior Manager translates complex business needs into clear technical requirements and partners with engineering teams to design, develop, test and implement scalable solutions.



This includes ensuring tools and reporting are accurate, actionable and aligned with how teams operate, while bridging technical capabilities with practical business applications.The Senior Manager also champions the adoption and democratization of AI and analytics capabilities across Merchandise Operations. Rather than creating dependencies on a centralized team, the role focuses on developing reusable tools, enabling self-service analysis, and equipping associates with the knowledge and capabilities to independently leverage data and technology.

This includes driving change management, sharing best practices and fostering a culture of innovation, continuous improvement and ownership.This role may also support data quality, governance, and exploratory analysis activities.

Responsibilities may include profiling and validating data, promoting data quality awareness, applying statistical techniques, and supporting compliance with data policies.drives a positive associate and customer experience for all; Creates a discipline and focus around developing talent, through feedback, coaching, mentoring,



and developmental opportunities; empowers associates andpartners to act in the best interest of the customer and company; supports Walmart’s goalof becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.creating a sense of belonging, eliminating waste, participating in local giving).Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; Serve our Customers:Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team’s strategy.seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; Seeks and implements continuous improvements and encourages the team to leverage current digital tools and ways of working.Afin de soutenir la présélection des candidatures, les entrevues et les autres évaluations des candidats, nous pourrions utiliser des outils alimentés par l’intelligence artificielle, y compris des outils de prise de décision automatisée développés à l’interne ou par des tiers. Pour obtenir de plus amples renseignements, veuillez consulter l’Énoncé sur la protection des renseignements personnels des candidats de Walmart Canada.#

📌 Senior Manager, Data Analytics (Winnipeg)
🏢 Walmart
📍 Winnipeg