Role: Product Manager
Location: Bentonville, AR
Overview: This is a first-of-its-kind data product team within International Technology intended to build a centralized function responsible for creating and managing strategic data assets to support multiple international markets. Historically, each of six international markets had independent teams producing their own data products, leading to duplicative, inconsistent, and siloed efforts. This new team is tasked with centralizing those efforts creating standardized, scalable, and reusable data products across regions.
Ideal Candidate Profile:
- Product-Oriented Mindset, someone flexible and proactive, almost a start-up type atmosphere so need to be comfortable in that setting.
- Strong competency in data product management would be a huge plus (or previous Walmart experience). Concern otherwise is that they would require too much ramp up time.
- Expected to handle intake, scope definition, priority setting, and quarterly planning.
- Must demonstrate a clear ownership mindset, managing a specific product or data domain end-to-end.
- Data "products" themselves are comparable to data marts for supply chain data on GCP. Understanding the data requirements from the business for operational, analytics, data science, and AI use cases. What data needs to be ingested, overall development of the data mart, development of a roadmap, requirements. Understanding which processes can be repeatable across regions (i.e. Mexico, Canada)
Technical Skills:
- Proficient in SQL with the ability to write queries and understand data structures is highly desirable.
- Their platforms are built on GCP, but not a hard requirement. More about the core functionality vs particular tooling or platform knowledge.
- Need Jira experience for tracking and task management.
Consultative Thinking & Collaboration:
- Will work closely with market analysts, change managers, and leadership teams, including stakeholders across different regions.
- Should be able to navigate cross-functional environments, where prioritization and decision-making are collaborative rather than independent.
- Strong critical thinking and communication skills are required to support broad cross-market initiatives.
Nice to Have:
- Data governance experience is highly desirable.
- An analytics background provides a strong foundation for success.
- Candidates with a blend of governance and analytics will stand out.