Staff, Data Engineer - Customer Insights & GenAI

Position Summary...

As a Staff Data Engineer, you will lead data-driven projects and platform initiatives while taking ownership of end-to-end technical delivery. You will serve as the technical expert for your team and work closely with product stakeholders and senior leadership to align on strategic priorities and deliver measurable business outcomes. This role will play a critical part in transforming customer survey and feedback data into actionable business intelligence by building scalable data and AI platform capabilities that power intelligent automation, GenAI-powered experiences, and Agentic AI workflows across customer and business operations.

You will lead the development of next-generation Voice of Customer (VoC) solutions, including AI-powered VoC Agents that leverage structured and unstructured customer feedback to generate proactive insights, identify emerging trends, and enable data-driven decision-making across the enterprise. Operating at the intersection of large-scale distributed data platforms, near real-time intelligence, and AI-powered decision systems, you will help deliver advanced automation, intelligent insights, and enhanced customer experiences that drive impact across Walmart’s ecosystem.

About the Team:
By bringing the objective voice of the Walmart customer to all aspects of the business, the Customer Insights team is the trusted source of integrated customer insights for Walmart.

The MyCustomer team brings the voice of the Walmart customer into every aspect of the business by delivering actionable customer insights and experience intelligence at enterprise scale. Our team builds scalable data and AI-driven platforms that transform customer feedback into meaningful insights, enabling teams across Walmart to make faster, customer-centric decisions.

We are focused on modernizing the VoC ecosystem through advanced analytics, GenAI-powered experiences, and Agentic AI capabilities. As part of this team, you will help develop next-generation AI-powered VoC solutions that convert structured and unstructured customer feedback into proactive insights, trend detection, and intelligent recommendations that drive business impact across Walmart.

What you'll do...

What you'll do:

• Analyze complex business problems and recommend scalable data, analytics, and AI-driven solutions to deliver measurable business impact.
• Architect and build scalable data and AI platform solutions for large-scale structured and unstructured customer feedback datasets.
• Partner with Product, Ecommerce, Operations, and business teams to generate actionable insights and improve customer experience outcomes.
• Design and develop AI-powered Voice of Customer (VoC) solutions, including GenAI and Agentic AI workflows that enable proactive insights, intelligent recommendations, and automated decision support.
• Build and operationalize intelligent agents leveraging LLMs, Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems to enhance customer and business intelligence capabilities.
• Select and apply appropriate analytical, ML, and AI modeling techniques for complex business problems involving high-volume, multi-source data ecosystems.
• Employ modern ML, LLM, GenAI, and Agentic AI frameworks, tools, and platforms to accelerate intelligent automation and customer insight generation.
• Successfully navigate ambiguity and rapidly changing priorities in a fast-paced, customer-centric environment.
• Present technical solutions and business insights effectively to both engineering and executive leadership audiences.
• Influence and promote a strong culture of data curiosity, AI innovation, and engineering excellence across teams and stakeholders.
   

What you'll bring:

• Passion for solving complex business problems with a strong analytical mindset, critical thinking, and data-driven decision-making skills.
• Strong analytical, diagnostic, and problem-solving capabilities with the ability to translate ambiguous business needs into scalable technical solutions.
• Strong technical expertise in SQL, Python, R, or other programming languages commonly used in data engineering, analytics, and AI development.
• Experience designing and building large-scale data platforms and modern data environments including data lakes, warehouses, and cloud-native architectures.
• Hands-on experience with cloud technologies such as GCP (B