Join Walmart as Senior Director, Software Engineering – Transactional Systems Applied AI in our Global Technology EBS team.  Your work could help over 240 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.  From day one, you’ll be empowered and equipped to do the best work of your life.

Walmart’s Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

About the Team

Through our expertise in AI/ML, data analytics, engineering, and domain knowledge, we aim to create a safer, efficient, and connected world for our customers and business, to develop and deploy AI-powered solutions that advance payment processing, reduce fraud and abuse risk, enhance global governance, improve customer experiences, and drive business growth.  Moreover, we want to create a world where AI-powered solutions are seamlessly integrated into every aspect of our business, empower people to make informed decisions, drive growth, efficiency, and customer satisfaction.

We are committed to fostering a culture of innovation, collaboration, and continuous learning within our team and across the organization.

Position Summary

• Develop and lead the overall AI strategy for the organization, aligning it with business objectives.

• Identify areas where AI can drive business value and develop solutions to address these opportunities.

• Evaluate emerging AI technologies (e.g., Agentic AI, Generative AI, Machine Learning, Explainability, etc.) and their applicability to the organization's needs.

• Oversee the roadmap, development, and deployment of AI projects across various departments, delivering successful implementation and ROI.

• Assess and mitigate risks associated with AI projects, ensuring compliance with regulatory requirements.

• Lead a team of AI engineers, data scientists, and researchers, providing guidance, mentorship, and performance management.

• Manage budgets and resource allocation for AI initiatives, striving optimal use of resources and budgetary constraints.

• Collaborate with cross-functional teams (payments, fraud and risk, data intelligence, compliance, fraud strategy, customer care, operations, etc.), including business stakeholders, product managers, and IT leaders to achieve effective implementation and adoption of AI-powered solutions.

What You Wil Do

Cross-Functional Leadership: Partner with engineering, design, and business teams to prioritize and deliver high-impact product features and continuous improvements. 

Data-Driven Innovation: Leverage data insights and AI/ML to create automated resiliency, elevate customer experiences, and optimize revenue generation.

Performance Metrics: Define key performance indicators (KPIs) to assess the success of initiatives and provide regular updates to stakeholders on progress and outcomes. 

Partnership Development: Build strong relationships with Treasury, Merchandising, Membership, Asset Protection teams to optimize engagement and deliver business value

Market Awareness: Keep a pulse on industry trends, emerging technologies, and competitive dynamics to refine and adapt product strategies.

Cross-Department Collaboration: Work closely with finance, business, partner product and tech teams to align initiatives with broader business goals.

Focus on Our Associates: Build and lead high-performing, diverse teams by driving inclusive strategies, fostering strong relationships, and promoting collaboration across functions to achieve shared goals.

Key Skills

• Business Strategy, Data Strategy, AI and ML, Data Analysis, Stakeholder and Change Management 

• Experienced leader in retail or financial services industry

• Define vision and strategies for product content creation at Walmart, using domain expertise, internal and external best practices, identifying opportunities, building business cases, and gaining alignment in multiple internal and external stakeholder communities

• Experience in building data products leveraging data science (AI and ML) – for fraud and compliance risk management.

• Strong experience in successfully building and managing high-performing product teams

• Passion for technology, willingness to dive deep into the technical products Walmart is building, and commitment to learning and expanding technical knowledge

• Build compelling business cases and ROIs and proactively drive business insights and optimizations.

• Developing and delivering on the financial plan for area of responsibility.

• Developing and providing recommendations to business on long-term investments (for example, acquisitions, disruptive technology)

• Capitalizing on domain expertise; identifying and anticipating market opportunities based on an in-depth understanding of the market and competition; overseeing the execution of competitive assessments, identifying and facilitating disruptive innovation opportunities; approving business cases; prioritizing and allocating resources; and approving objectives and key performance indicators.

Preferred Qualifications

• Master’s degree in business administration, Computer Science, Engineering or related field.

• Experience building and leading a scalable and successful GenAI initiative

• 10 years’ experience gathering, identifying, defining, and communicating requirements

• 8 years’ experience consulting and advising business partners utilizing detailed analysis

• 5 years' experience building and leading high performing teams

• Proven track record of successful product creation with measurable and significant business impact.