Manager, Business Intelligence, Fba Analytics

Amazon Amazon · Big Tech · Bellevue, WA · Business Intelligence

Manager for a Business Intelligence team focused on building AI-powered analytics infrastructure and GenAI-enabled data products for FBA Inventory Optimization. The role involves leading a team, establishing technical standards, designing and building data/monitoring pipelines for AI-powered growth advisor products, architecting reusable data infrastructure, defining measurement frameworks for AI-driven experiences, and partnering with product/science teams on causal frameworks and attribution. The goal is to shift from traditional reporting to intelligent, AI-native data systems that deliver predictive insights and support AI agents.

What you'd actually do

  1. Lead, mentor, and grow a team of BIEs and Business Analysts, providing technical guidance, career development, and prioritization aligned with FBA's AI-native transformation objectives.
  2. Establish technical standards, code review practices, and documentation norms that ensure data quality, governance, and AI-readiness across FBA domains.
  3. Design and build data and monitoring pipelines for AI-powered growth advisor products across FBA's portfolio — including seller recommendations, inventory optimization, and inbound efficiency experiences.
  4. Architect reusable, shared data infrastructure across AI product teams — replacing one-off solutions with shared primitives (e.g., semantic layers, knowledge graphs, federated data models) that new teams can adopt from day one.
  5. Define measurement infrastructure for AI-driven experiences, capturing seller engagement, adoption of key recommended actions, and attributable sales impact — ensuring data consistency across real-time APIs and batch systems.

Skills

Required

  • 7+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
  • 5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
  • Experience with SQL
  • Experience with ETL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
  • Bachelor's degree

Nice to have

  • 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
  • 5+ years of working with Data & AI related technologies

What the JD emphasized

  • AI-native data systems
  • AI-powered analytics infrastructure
  • GenAI-enabled data products
  • AI product roadmap
  • AI agents
  • AI-native transformation objectives
  • AI-readiness
  • AI-powered growth advisor products
  • AI product teams
  • AI-driven experiences
  • AI-generated recommendations
  • GenAI enablement
  • AI-powered seller experiences

Other signals

  • AI-native data systems
  • AI-powered analytics infrastructure
  • GenAI-enabled data products
  • AI product roadmap
  • AI agents