The Growth Optimization team is on a mission to become the intelligent AI business advisor for every Selling Partner (SP) on Amazon. We build the data, science, and product systems that help SPs identify growth opportunities, co-develop strategies with AI, and execute those strategies across Amazon's core growth levers — advertising, promotions, pricing, listings, fulfillment, and more. Our work spans Seller Assistant (SA), Next Gen Selling (NGS), and a growing portfolio of AI-powered Growth Advisors (including High Velocity Event Advisor and Marketing Efficiency Advisor) that target billions of dollars in unrealized GMS for SPs in the US and internationally. As our AI development accelerates, Business Intelligence is becoming core infrastructure — not a supporting function. We are shifting from bespoke, one-off data solutions to building reusable data pipelines, shared analytics capabilities, and measurement frameworks that power every agent team we spin up.
We are looking for a Manager, Business Intelligence Engineering to lead and grow our BI and analytics team. You will be a player-coach: personally contributing hands-on to our most technically demanding data engineering work while providing the technical oversight, prioritization, and career development that enables our team to scale. You will lead a team of high-performing Business Intelligence Engineers and Business Analysts supporting a rapidly expanding AI product roadmap. You will own the full scope of our data needs: building and maintaining the pipelines that power our AI agents, creating the measurement frameworks that define how we track SP engagement and business impact, and ensuring our BAU reporting commitments are met without crowding out strategic infrastructure work. This is a high-impact, high-visibility role — you will be a primary technical partner to product and science leadership across Growth Optimization and will be expected to set the standard for how BI is done across our org as we scale.
The ideal candidate is a technically exceptional BI leader who is passionate about using data to unlock growth for the millions of Selling Partners who rely on Amazon for their livelihood. You thrive in dynamic, ambiguous environments where the roadmap is evolving, the problems are genuinely hard, and the stakes are high. You think big about what BI infrastructure can enable — not just for today's needs, but for the AI-powered experiences your organization is building toward — while maintaining a relentless bias for action that keeps the team moving. You earn trust through your craft: writing clean, scalable pipelines; designing measurement frameworks that hold up to scrutiny; and communicating technical complexity clearly to product and science stakeholders who depend on your judgment. You invent and simplify, always asking whether a shared, reusable solution can replace a one-off build. And you work backwards from Selling Partners — understanding that behind every metric is a business owner trying to grow, and that the data systems you build directly shape the guidance they receive.
Key job responsibilities Lead, mentor, and grow a team of BIEs and Business Analysts, providing technical guidance, career development, and prioritization
Establish technical standards, code review practices, and documentation norms for the team
Design and build data and monitoring pipelines for AI-powered growth advisor products across our portfolio
Architect reusable, shared data infrastructure across AI product teams — replacing one-off solutions with shared primitives 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
Partner with product and science teams to establish causal frameworks connecting seller actions to business outcomes
Ensure reliable delivery of weekly business reviews, performance metrics, and ad hoc analysis in support of goals and quarterly business reviews
Build prioritization frameworks that balance strategic infrastructure work against recurring reporting commitments
Serve as the primary BI technical partner for product, science, and engineering across Growth Optimization
Align stakeholders across product, advertising, promotions, and pricing teams on shared data contracts and analytical standards
Basic Qualifications
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management 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
Preferred Qualifications
- 4+ years of working with very large data warehousing environment experience
- 10+ 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
- Experience with A/B testing
- Experience building large-scale, high-throughput, 24x7 data systems
- Familiarity with agentic AI systems or LLM observability tooling
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,400.00 - 194,000.00 USD annually