Operations Lead Academic Research & Science Community

BIE, ARI-Sci Com Business Operations, Academic Research Initiatives & Science Community

Job :  |  Services LLC

We are looking for a Business Operations Manager to join our team. The Academic Research Initiatives and Science Community team (ARI-Sci Com) 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.

• Process Improvement:
  Design, implement, and optimize scalable ARI-Sci Com 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 (M /Q ), 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, No
  
  SQL 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, Dynamo
  
  DB, 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 (Use the "Apply for this Job" box below). 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 99,500. USD annually.

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 .