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Business Intelligence Manager, Cross Border Science and Analytics

Amazon is hiring a Business Intelligence Manager, Cross Border Science and Analytics in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

We are looking for an L6 Business Intelligence Engineer (BIE) Manager to lead a team of BIEs supporting Cross Border Science at Amazon. This role sits at the intersection of data engineering, analytics, and applied science — owning the BI infrastructure and insights layer that powers AI-driven decision-making across 50+ Cross Border arcs and 8+ marketplace geographies. The ideal candidate will build and manage a team that delivers production-grade BI pipelines, experimentation frameworks, and business metrics instrumentation supporting science initiatives spanning forecasting, pricing, personalization, search, compliance, and generative AI. You will partner closely with Applied Scientists, Product Managers, and Software Engineers to translate complex, multi-marketplace data into actionable intelligence — defining KPIs, building self-service dashboards, and designing A/B test measurement frameworks that quantify the business impact of tech and AI solutions in production. This is a high-visibility role requiring both technical depth (SQL, Spark, Python, AWS data stack) and leadership maturity to hire, develop, and mentor BIEs while operating as a strategic partner to science and product leadership.

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 data visualization using Tableau, Quicksight, or similar tools
- Experience in SQL Server/MySQL, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in Redshift
- Experience including, building and maintaining data flows and pipelines
- Knowledge of product experimentation (A/B testing)

Preferred qualifications

- Experience leveraging LLMs and GenAI tools for analytics workflows — prompt-based data exploration, automated insight generation, natural language to SQL, or AI-assisted reporting
- Experience building semantic layers or self-service analytics platforms that democratize data access across technical and non-technical consumers
- Familiarity with AI-assisted data quality and anomaly detection — automated monitoring of data freshness, drift, and pipeline health using ML-based alerting

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.

How we rate this

Business Intelligence Manager, Cross Border Science and Analytics at Amazon rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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