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OG
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Walmart

Senior Manager, Data Analytics

Mississauga, ON, Canada

The pay range for this position is $109,400.00 - $150,480.00. · Full-time

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Job details

Pay: The pay range for this position is $109,400.00 - $150,480.00.
Job type: Full-time
Posting language: English
Posted: Nov 4, 2026

Original job description

Position Summary...

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.

What you'll do...

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. This role plays a critical part in modernizing how the organization operates, leveraging technology and analytics to simplify processes, improve productivity and enable faster, more informed business decisions.

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. The role prioritizes initiatives based on business impact, scalability and efficiency gains, ensuring resources are focused on solutions that deliver meaningful value.

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.

Leadership Expectations:

Respect the Individual:

Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and experiences where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer experience for all; identifies, attracts, and retains the best team members.

Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer and company; and regularly recognizes others’ contributions and accomplishments.

Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.

Acts with Integrity:

Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., 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; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.

Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.

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.

Strive for Excellence:

Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.

Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

The pay range for this position is $109,400.00 - $150,480.00. Pay will be determined based on relevant experience.

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L’échelle salariale pour ce poste est de 109,400.00 à 150,480.00. La rémunération sera déterminée en fonction de l’expérience pertinente.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

Primary Location…

1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada

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Important Note: To support resume screening, interviews and other candidate evaluations, we may use artificial intelligence-powered tools, including internal or third-party developed automated decision-making tools. For more information, please see Walmart Canada Job Applicant Privacy Notice.

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More about this job

Responsibilities

The Senior Manager leads the development and improvement of AI-enabled tools and analytics to optimize Merchandising Operations. They act as a bridge between business and engineering teams to translate complex requirements into scalable, data-driven solutions.

Requirements

The role requires a deep understanding of business financial priorities and operational challenges to drive analytical transformation. Candidates must demonstrate leadership in managing data quality, fostering innovation, and enabling self-service analytics across the organization.

Skills

Data Analytics
AI Transformation
Merchandising Operations
Forecasting
Assortment Planning
Data Quality
Data Governance
Statistical Techniques
Change Management
Business Insight
Process Automation
Technical Requirements
Data Visualization
Strategic Initiatives
Cross-functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
AI
Artificial Intelligence
Merchandising Operations
Forecasting
Assortment Planning
Data Quality
Data Governance
Automation
Business Intelligence
Change Management
Data Visualization
Statistical Analysis
Process Improvement
Retail
Inventory Productivity
Strategic Planning
Engineering
Technical Requirements
Data Democratization

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