Amazon.com Services LLC

Project/Program/Product Management--Technical, Business Intel Engineer, selling partner services

Manager,BusinessIntelligence,SellerDevelopment

$143–194k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Business Intelligence, Seller Development at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics. Lead BI team. Mentor BI team”

Industry & Context.

Project/Program/Product Management Technical, Business Intel Engineer, selling partner services
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

7+ years business intelligence experience, 5+ years managing BI team, Experience with SQL, Experience with ETL, Experience with data visualization, Experience with R, Python, Weka, SAS, Matlab

Nice to Have

4+ years large data warehousing, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years ETL/ELT experience, 10+ years reporting/analytic tools experience, 10+ years data structures experience, 10+ years hands-on SQL coding, Experience with A/B testing, Experience building large-scale data systems, Familiarity with agentic AI systems, Familiarity with LLM observability tooling

What You'll Do.

Provide technical guidance

Provide career development

Establish technical standards

Establish code review practices

Establish documentation norms

Design data pipelines

Design monitoring pipelines

Build monitoring pipelines

Architect reusable data infrastructure

Architect shared data infrastructure

Define measurement infrastructure

Capture seller engagement

Capture action adoption

Capture attributable sales

Partner with product teams

Partner with science teams

Establish causal frameworks

Ensure reliable delivery

Deliver weekly business reviews

Deliver performance metrics

Deliver ad hoc analysis

Build prioritization frameworks

Align on shared data contracts

Align on analytical standards

How You'll Work.

Team & Collaboration

Product leadership; Science leadership; Engineering teams; Advertising teams; Promotions teams; Pricing teams

Communication Scope

Communicate technical complexity

Process & Methodology

Prioritization frameworks

Full Job Description

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

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