Data Manager, eCommerce

Red Bull

Santa Monica, CA, United States$92,000 - $138,000Full-timePosted 3h ago

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Company Description

The eCommerce Product Owner serves as the bridge between business needs and technology solutions, helping the organization make smarter, data-driven decisions across online retail platforms. This role is responsible for shaping the vision, priorities, and requirements for eCommerce data and measurement products that support the optimization of digital commerce strategies.

Working closely with the eCommerce team, the Product Owner gathers business needs, translates them into actionable requirements for technical teams, and ensures solutions are aligned with both user needs and business goals. The role uses data and insights to identify trends, uncover opportunities, and develop tools that improve product visibility, digital shelf performance, and the effectiveness of media and promotional investments.

Key responsibilities include partnering with eCommerce stakeholders and leadership to deliver trusted reporting, scalable measurement frameworks, and practical solutions that enable continuous improvement in online execution and business performance. The Product Owner collaborates cross-functionally with IT teams, external vendors, consultants, and business partners, serving as a central point of connection across eCommerce data and measurement initiatives.

This role is ideal for someone who enjoys solving complex problems, translating data into actionable insights, and working collaboratively to create tools and solutions that drive meaningful business impact.

Job Description

UNIFIED E-COMMERCE DATA FRAMEWORK 

Own the business logic and requirements framework across eCommerce data and measurement projects,  partnering with relevant business owners to translate objectives, definitions, and decision into clear specifications for reporting and technical teams. 

Partner with IT/data engineering on the integration of new data sources and identify opportunities to improve scalability and reduce manual processes through automation.

Act as the eCommerce team's day-to-day point of contact into Data Engineering, IT, and Reporting Teams, translating reporting needs and business requirements and language into clear technical specifications. 

Partner with IT on the integration of new data sources, and highlight where automation would reduce manual reporting work. 

Lead sourcing, selection, and management of vendors/consultants engaged to build data models and measurement frameworks where in-house expertise doesn't exist, including cost negotiation and contract management. 

 

 

TRANSLATE DATA INTO INSIGHTS 

Define the business logic and KPI requirements that the team's reporting suite and underlying data is built against. 

Identify and define key performance indicators (KPIs) that effectively measure the impact of eCommerce activations. 

Work closely with the eCommerce team to ensure that data insights are integrated into daily operations and strategic planning. 

Foster a data-driven culture within the eCommerce team, promoting the use of analytics to inform decision-making. 

 

 

STAKEHOLDER SUPPORT 

Act as first point of contact for the team on reporting and dashboard questions. 

Help stakeholders get more from existing tools through informal coaching and clear documentation — not a formal training/change-management remit. 

 

 

BUSINESS REVIEWS & BENCHMARKING 

Own the data requirements, definitions, and measurement frameworks for total eCommerce sales, share, investment, and execution performance.

Drive investment analysis logic and architecture to ensure the budget is effectively allocated and spent. 

Develop a framework to benchmark internal performance across sales and online execution performance.

Track retailer and media network technology roadmaps, advising the business on how to prepare for upcoming platform enhancements, and negotiate costs and contract terms with vendors and retail media partners. 

Qualifications

6+ years of work experience in analytics, data analysis, or related fields, with at least 2 years of experience with eCommerce 

Working knowledge of data analysis tools (e.g., SQL, Tableau, Excel) sufficient to translate business requirements and validate vendor/IT output 

Excellent analytical, problem-solving, and critical-thinking skills 

Vendor/consultant management and contract negotiation experience 

Retail media and retailer platform fluency (e.g., Amazon, Walmart Connect, Target/Roundel) and familiarity with their technology roadmaps 

Experience working with retailer data, digital shelf data, product content syndication, or related B2B eCommerce data ecosystems.

Experience in beverage, CPG (Consumer Packaged Goods), or FMCG (Fast Moving Consumer Goods) industries preferred  

Project management experience, with the ability to manage priorities, requirements, dependencies, and delivery risks across multiple concurrent internal and vendor supported workstreams.

Bachelor's degree or equivalent work experience 

Must be fluent in English, additional language skills an advantage

Preferred: Knowledge of data modeling concepts, including data grain, dimensions, hierarchies, mappings, and relationships, with the ability to translate business requirements and evaluate data structures.

Additional Information

This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $92,000 - 138,000 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include:
Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location).

Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

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