Senior Program Manager - Data Foundations, Customer Service
Amazon.com
We are seeking Senior Program Manager – Data Foundations to lead complex data initiatives that transform how we support business customers. This role is critical in ensuring the availability of essential data that powers our self-service tools, contact routing platforms, and customer service associate applications. The ideal candidate will bridge the gap between technical teams and business stakeholders to enable data-driven customer service operations.
Key job responsibilities
Data Strategy & Technical Leadership
• Own and deliver the CS-Business Data Strategy in close partnership with CS-Business Analytics team
• Lead attribute delivery roadmap development and execution
• Establish and maintain data pipelines with relevant teams
• Work closely with technical teams to design data-vending platforms
• Manage and coordinate software development activities. Attribute Management Program: Lead end-to-end
attribute management program:
• Identify and assess new attribute opportunities
• Prioritize attribute delivery based on business entitlement
• Develop and maintain the Priority Attribute List (PAL)
• Drive quarterly PAL reviews with stakeholders
• Program manage implementation across front-end products (CSALT, Carnac, AC3)
• Monitor attribute performance and usage
• Identify optimization opportunities and recommend improvements
Analytics Partnership:
• Partner with CS-Business Analytics to:
o Build data models and develop insights
o Define metrics and success criteria
o Establish data governance standards
o Drive analytical improvements
• Provide regular status updates to key stakeholders
• Identify and collaborate with product and data owners across the organization
About the team
The Technology and Product Experience (TPX) team develops and owns products that Customer Service-Business use to support Amazon Business (AB) Customers as they manage accounts and orders. As part of the Amazon Customer Service family, the TPX strategy aligns with the five CS priorities: (1) Strengthening our technical foundation, (2) Enhancing customer-facing experience, (3) Empowering our CSAs, (4) Eliminating defects and customer pain points, (5) Lowering our cost-to-serve. Our solutions encompass account monitoring, ingress, self-service & automated treatments, and Customer Service Associate (CSA) treatment. All require solid Data foundations.
Key job responsibilities
Data Strategy & Technical Leadership
• Own and deliver the CS-Business Data Strategy in close partnership with CS-Business Analytics team
• Lead attribute delivery roadmap development and execution
• Establish and maintain data pipelines with relevant teams
• Work closely with technical teams to design data-vending platforms
• Manage and coordinate software development activities. Attribute Management Program: Lead end-to-end
attribute management program:
• Identify and assess new attribute opportunities
• Prioritize attribute delivery based on business entitlement
• Develop and maintain the Priority Attribute List (PAL)
• Drive quarterly PAL reviews with stakeholders
• Program manage implementation across front-end products (CSALT, Carnac, AC3)
• Monitor attribute performance and usage
• Identify optimization opportunities and recommend improvements
Analytics Partnership:
• Partner with CS-Business Analytics to:
o Build data models and develop insights
o Define metrics and success criteria
o Establish data governance standards
o Drive analytical improvements
• Provide regular status updates to key stakeholders
• Identify and collaborate with product and data owners across the organization
About the team
The Technology and Product Experience (TPX) team develops and owns products that Customer Service-Business use to support Amazon Business (AB) Customers as they manage accounts and orders. As part of the Amazon Customer Service family, the TPX strategy aligns with the five CS priorities: (1) Strengthening our technical foundation, (2) Enhancing customer-facing experience, (3) Empowering our CSAs, (4) Eliminating defects and customer pain points, (5) Lowering our cost-to-serve. Our solutions encompass account monitoring, ingress, self-service & automated treatments, and Customer Service Associate (CSA) treatment. All require solid Data foundations.
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