Manager, Business Intelligence, FBA Analytics

About the role

The Manager, Business Intelligence, FBA Analytics role is central to FBA's generational transformation. The role involves leading the development of AI-powered analytics infrastructure and GenAI-enabled data products across FBA's Growth Optimization portfolio.

Responsibilities

• 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.
• Establish technical standards, code review practices, and documentation norms that ensure data quality, governance, and AI-readiness across FBA domains.
• 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.
• Arcure 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.
• 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.
• Partner with product and science teams to establish causal frameworks connecting seller actions to business outcomes, enabling reliable attribution of AI-generated recommendations to measurable growth.
• Ensure reliable delivery of weekly business reviews, performance metrics, and ad hoc analysis in support of goals and quarterly business reviews across FBA programs.
• Build prioritization frameworks that balance strategic infrastructure work (e.g., GenAI enablement, data governance) against recurring reporting commitments — investing in automation to reduce tactical work and shift team focus to strategic, AI-enabled delivery.
• Serve as the primary BI technical partner for product, science, and engineering across FBA, acting as the connective tissue between FBA's data estate and AI-powered seller experiences.

Qualifications

• 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

Preferred Qualifications

• 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, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience