We are looking for a Business Operations Manager to join our team. The Academic Research Initiatives and Science Community team (ARI-SciCom) strategically aligns external academic research partnerships and internal scientific capabilities. Our team supports innovation by funding potential breakthrough academic research, building tools that empower our scientists, and fostering internal scientific excellence to accelerate long-term customer impact. We believe that external research only generates value when it flows back into the organization, and internal science only reaches its potential when connected to the frontier of academic discovery.
In this role, you will drive operational excellence by identifying and implementing process improvements, managing
cross-functional programs, and delivering data-driven insights that inform strategic decisions for Amazon’s vast scientific investment and community portfolio. You will work closely with leadership and partner teams to scale mechanisms, remove bottlenecks, and ensure the business runs efficiently.
Key job responsibilities
Process Improvement: Design, implement, and optimize scalable ARI-SciCom business processes and operational mechanisms
Data Analysis & Reporting: Build and maintain operational metrics, voice-of-partner mechanisms, dashboards, and reporting cadences to track business health and surface insights
Strategic Planning: Support annual and quarterly planning cycles including goal setting, resource allocation, and capacity planning
Stakeholder Management: Partner with leadership, finance, HR, and technical teams to align on priorities and drive execution
Operational Cadences: Manage recurring business reviews (MBR/QBR), ensuring the right inputs, outputs, and follow-through on action items
Documentation: Author and maintain standard operating procedures, runbooks, and process documentation
- 3+ years of analyzing and interpreting data with
Redshift,
Oracle, NoSQL etc. experience
- 1+ years of SQL,
ETL or
Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience with data visualization using
Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building
ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and
Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (
Python) to process data for modeling
- Experience with
AWS solutions such as
EC2,
DynamoDB,
S3, and
Redshift- Experience in data mining,
ETL, etc. and using databases in a business environment with large-scale, complex datasets
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 - 99,500.00 - 160,000.00 USD annually