Job Description
Position Summary...
What youll do... About the team:
The Revenue Intelligence & Customer Engagement team optimizes billions of payments through advanced analytics and machine learning. We build and operate a real-time data platform that powers revenue growth, fraud prevention, and enhanced customer experiences across Payments, Directed Spend, Checkout, and Incentives. Our team is responsible for developing and deploying ML models that improve payment authorization rates, strengthen payment resiliency, and increase the effectiveness of promotions and rewards programs. We also drive adoption of Directed Spend by providing actionable insights that help improve customer experience.
Our team supports cross divisional programs for Transactional Systems as a part of the Global Tech organization.
What youll do:
- Product Strategy: Define and execute the product strategy for Revenue Intelligence & Customer Engagement team with the vison to enhance revenue generation and customer engagement.
- 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.
What you will bring:
- Key Skills include Product Management, Business Strategy, AI and ML , Data Analysis, Stakeholder and Change Management
- Experience in GenAI / Agentic solutions is strongly preferred.
- Preferred experience - in Payments/Retail and specifically experience in disputes management
- Preferred experience - in building data products leveraging data science (AI and ML) - revenue growth, customer success, risk management.
- 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.
About Walmart Global Tech
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Flexible, hybrid work
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Benefits
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Belonging
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Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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 inclusive of all people
Minimum Qualifications...
Minimum Qualifications:Option 1: Bachelor s degree in computer science, engineering, or related area and 9 years experience in product management. Option 2: 11 years experience in product management or related area.
Preferred Qualifications...
Master s degree in Computer Science, Engineering, Business Administration, or related area and 8 years experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, Supervisory experience
Job Classification
Industry: Retail
Functional Area / Department: Product Management
Role Category: Product Management - Technology
Role: Product Manager
Employement Type: Full time
Contact Details:
Company: Walmart
Location(s): Bengaluru
Keyskills:
Computer science
Product management
Data analysis
Change management
Networking
Machine learning
Business strategy
Customer engagement
Risk management
Merchandising