(USA) Senior Manager, Delivery Search, Arrival & Matching (Last Mile Delivery)

About the Role

The Last-Mile Delivery team integrates real-time intelligence with physical logistics, supporting a Spark Driver network that reaches 94% of U.S. households nationwide. This team operates in a fast-paced, technically advanced environment with significant national impact. Members apply expertise in data science, machine learning, and analytics to develop scalable solutions.

Collaboration with cross-functional partners drives innovation and operational excellence, ensuring efficient delivery experiences while advancing Walmart's strategic goals in logistics and technology.

What You Will Do

• Own the analytical and strategic layer for components of driver search, arrival staggering, and trip matching, serving as the business voice alongside technical partners.
• Lead business case development for roadmap investments, quantifying opportunity, sizing tradeoffs, and establishing success criteria.
• Apply AI tools as a core part of daily workflow, accelerating analysis, synthesizing signals, and scaling analytical output across the organization.
• Translate complex model outputs, experiment results, and platform telemetry into clear recommendations for senior leadership.
• Lead cross-functional workstreams, aligning engineers, scientists, and operators around a shared plan and holding the work accountable to outcomes.
• Develop and maintain strong relationships with key stakeholders, including data scientists, engineers, and operational leaders.
• Stay up-to-date with industry trends and emerging technologies in logistics and delivery, applying this knowledge to drive innovation and improvement.
• Collaborate with the data science team to design and implement experiments, analyze results, and inform product decisions.
• Work closely with the engineering team to develop and deploy new features and capabilities.

What We Are Looking For

• 7+ years of experience in analytics, strategy, product, or business operations in a technology-driven organization.
• Demonstrated fluency with AI tools, using them daily, knowing their limits, and building workflows around them.
• Strong quantitative skills and statistical understanding, including the ability to write SQL, build analytical models, and derive original insights from raw data.
• Clear, structured communication skills, able to compress complex analysis into an exec-ready narrative without losing precision.
• Track record of making and defending business recommendations under ambiguity.
• Proven ability to lead cross-functional teams or workstreams and drive outcomes through influence and clarity of direction.
• Experience with data visualization tools and techniques, and the ability to communicate complex data insights to non-technical stakeholders.
• Strong business acumen, with a deep understanding of the logistics and delivery industry.

Nice to Have

• Experience with machine learning algorithms and modeling techniques.
• Knowledge of programming languages such as Python or R.
• Familiarity with cloud-based data platforms and tools.
• Certification in data science, analytics, or a related field.

Benefits and Perks

• Competitive pay and performance-based bonus awards.
• Comprehensive health benefits, including medical, vision, and dental coverage.
• Financial benefits, including 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits, including PTO, parental leave, family care leave, bereavement, jury duty, and voting.
• Access to Walmart's education benefit program, Live Better U, which offers programs ranging from high school completion to bachelor's degrees.
• Opportunities for professional development and growth within the company.
• Remote work options and flexible scheduling.
• Access to cutting-edge technology and tools.
• Collaborative and dynamic work environment.

• Develop a strong portfolio showcasing your experience with AI tools, data analysis, and strategic planning.
• Highlight your ability to communicate complex data insights to non-technical stakeholders.
• Be prepared to discuss your experience leading cross-functional teams and driving operational excellence.
• Showcase your knowledge of the logistics and delivery industry, and your understanding of the challenges and opportunities in this space.
• Prepare examples of times when you had to make and defend business recommendations under ambiguity.
• Research the company culture and values, and be prepared to discuss how you align with them.
• Don't be afraid to ask about the company's approach to professional development and growth opportunities.