BIE Manager, Ads Finance

Amazon • New York, NY

3d • Onsite

About The Position

Amazon Ads is seeking a highly experienced Business Intelligence Manager on Amazon Publisher Monetization (APM) Finance to lead the design, development, and scaling of advanced analytics, data infrastructure, and decision science capabilities across a large, complex business domain. This role defines the analytics vision, drives cross-organizational data strategy, and delivers scalable BI systems that power critical business decisions at Amazon Ads. As Business Intelligence Manager, you will operate as a strategic technical leader, influencing senior stakeholders, shaping data architecture, and mentoring senior engineers while delivering high-impact insights that drive multi-billion-dollar business decisions for Video, Audio and Display Ad formats and Supply Tech.

Requirements

• 8+ 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
• Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management
• Bachelor's degree

Nice To Haves

• 5+ 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 working directly with business stakeholders to translate between data and business needs

Responsibilities

• Define long-term analytics vision for Ads and partner with senior leadership (Directors/VPs) to influence business strategy, roadmaps, and metric standardization through data-driven insights.
• Translate ambiguous business problems into scalable analytical frameworks and data solutions enabling high-impact decision-making.
• Design and oversee large-scale data models, semantic layers, and distributed systems (S3, Redshift, Spark, EMR, Glue) with strong focus on performance, governance, and data quality.
• Apply causal inference, experimentation (A/B testing) etc., models to uncover insights, drive statistical rigor, and influence executive decisions.
• Champion best practices (SQL, Python, ETL), drive self-serve and AI-enabled analytics, and mentor/hire BIE/DE talent to build a high-performing data organization.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager