As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. Working closely with Data Scientists, Business Intelligence Engineers, and Analysts, you'll implement custom solutions with market-changing potential. You will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities.

We're seeking experienced client service professionals with proven success in management consulting, corporate strategy, or marketing who combine analytical rigor with exceptional interpersonal skills. The ideal candidate will bring demonstrated leadership experience, strong problem-solving capabilities, and a track record of working effectively with executive teams. If you're a curious learner passionate about driving change, eager to expand your expertise in product management and data science, and ready to serve as a trusted advisor to business executives, this role offers an exceptional opportunity to make a lasting impact in the technology industry.

Key job responsibilities
• Insight Commercialization - Translate complex data and machine learning outputs into clear, actionable business recommendations that vendors can execute against
• Engagement Scoping & Problem Framing - Lead discovery conversations with senior vendor stakeholders to define problem statements, scope project deliverables, and align on success metrics before engagement kickoff
• Cross-functional Orchestration - Coordinate across internal Amazon teams to assemble the right resources and capabilities for each vendor engagement, ensuring holistic solution delivery
• Strategic Leadership - Lead complex integrated workstreams, plan and deliver executive and board-level presentations, and drive overall engagement success
• Client Partnership - Own client relationships and project outcomes, serving as the primary point of contact while ensuring exceptional delivery standards
• Innovation & Development - Collaborate with Product Managers and Data Scientists to enhance tools and frameworks based on engagement insights, continuously improving our vendor experience

About the team:

Amazon Vendor Services provides comprehensive support to enrolled partners through dedicated customer success management, strategic advice, operational execution, and advanced program access such as Project Midas. Our inclusive team values collaboration, innovation, and professional growth while working to enhance both vendor and customer experiences.

BASIC QUALIFICATIONS

- Bachelor's degree

- 5+ years of program or project management experience

- Experience using data and metrics to determine and drive improvements

- Experience owning program strategy, end to end delivery, and communicating results to senior leadership

- Experience working cross functionally with tech and non-tech teams

- Experience within e-commerce or Retail fields

- Experience delivering complex, data-driven recommendations to senior leaders

PREFERRED QUALIFICATIONS

- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps

- Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions

- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

- 4+ years of strategy, consultancy, financial analysis, category management, account management, product management, project management, buying or marketing experience

- Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling