Clubs, Teams & Franchises
Data Manager, eCommerce
Mid Level
Santa Monica, United States
in office
Full time
Digital, Product & TechData & CRM SystemsProduct Management
Job description
About the Role
This role acts as the bridge between business needs and technology solutions, helping the organisation make smarter, data-driven decisions across online retail platforms. It shapes the vision, priorities, and requirements for eCommerce data and measurement products that support the optimisation of digital commerce strategies. Working closely with the eCommerce team, the role gathers business needs, translates them into actionable requirements for technical teams, and ensures solutions align with user needs and business goals.
Key Responsibilities
- Own the business logic and requirements framework across eCommerce data and measurement projects, partnering with business owners and eCommerce leadership to deliver trusted reporting, scalable measurement frameworks
- And practical solutions that enable continuous improvement in online execution and business performance, and translating objectives, definitions, and decisions into clear specifications for reporting and technical teams.
- Partner with IT and data engineering to integrate new data sources, improve scalability, and reduce manual processes through automation.
- Serve as the eCommerce team's day-to-day point of contact for Data Engineering, IT, and Reporting Teams, translating reporting needs and business requirements into clear technical specifications.
- Lead sourcing, selection, and management of vendors and consultants engaged to build data models and measurement frameworks where in-house expertise does not exist, including cost negotiation and contract management.
- Define the business logic and KPI requirements for the team's reporting suite and underlying data, and identify KPIs that effectively measure the impact of eCommerce activations.
- Work closely with the eCommerce team to integrate data insights into daily operations and strategic planning, and foster a data-driven culture that promotes the use of analytics in decision-making.
- Act as first point of contact for reporting and dashboard questions, and help stakeholders get more from existing tools through informal coaching and clear documentation, rather than a formal training or change-management remit.
- Own data requirements, definitions, and measurement frameworks for total eCommerce sales, share, investment, and execution performance.
- Drive investment analysis logic and architecture to ensure budget is effectively allocated and spent, and develop a framework to benchmark internal sales and online execution performance.
- Track retailer and media network technology roadmaps, advise the business on preparing for upcoming platform enhancements, and negotiate costs and contract terms with vendors and retail media partners.
Required Experience & 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.
- 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.
- Fluency in English.
Preferred Skills
- Experience in beverage, CPG (Consumer Packaged Goods), or FMCG (Fast Moving Consumer Goods) industries.
- Additional language skills are an advantage.
- Knowledge of data modelling concepts, including data grain, dimensions, hierarchies, mappings, and relationships, with the ability to translate business requirements and evaluate data structures.
- Enjoys solving complex problems, translating data into actionable insights, and working collaboratively to create tools and solutions that drive meaningful business impact.
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