Senior Manager, Science and BI Lead, WWOS Tech

Have you ever wanted to solve a mystery or be part of solving a case Are you fascinated by detective stories or crime shows on TV Do you love to manage huge volumes of data have a science background and enjoy solving complex problems

WWOS Tech is transforming into an AI-first security technology organization and were seeking an exceptional Applied Science Manager to anchor this transformation. As the Science & BI Lead youll own the enterprise AI/ML roadmap lead an organization of scientists and BIEs and deliver production AI and ML models that will generate 1M efficiency hours annually.



Key job responsibilities
Lead AI/ML Strategy & Delivery

- Own the enterprise AI/ML roadmap across UNITE (theft detection investigation automation) PRISM (operational disruption risk management) and other WWOS Tech products
- Deliver net-new production AI models by EOY 2026 aligned to WWOS SPS goals: reduce theft/fraud loss from 0.30% to 0.19% of GMS and transform incident preparedness from reactive to proactive.
- Establish AI/ML delivery standards: model quality gates bias detection responsible AI compliance (Amazon Trust principles EU AI Act) and production readiness criteria
- Build centralized model registry shared experimentation platform (SageMaker) and MLOps infrastructure in partnership with Data Engineering

Build & Scale High-Performing Teams

- Lead Science & BI pillar within WWOS Tech: grow Science team over next 18 months manage 3 BIE managers overseeing BIEs across EESN Ops Disruption and Business Reporting teams

- Recruit onboard and retain top AI/ML talent in a highly competitive market; develop career paths for Scientists ML Solutions Architects and BIEs transitioning to AI-enabled strategic advisors

- Drive AI literacy across all of WWOS organization: 100% AI-trained by EOY 2026 across Technical Leadership and Cross-Skill tracks

- Establish operating rhythm: weekly Science pillar sync bi-weekly cross-pillar integration reviews monthly AI portfolio health inspections
Partner with Business & Technical Leaders

- Translate ambiguous business problems into AI/ML solutions through direct partnership with field leaders program vertical leaders and WWOS senior leadership.

- Represent WWOS Tech in Amazon-wide AI/ML forums: AWS AI partnerships responsible AI governance GOS AI forums

Drive Responsible AI & Governance

- Ensure all AI models touching sensitive security data meet Amazons responsible AI bar and evolving regulatory requirements (GDPR EU AI Act)
- Implement bias detection model explainability and human-in-the-loop mechanisms for high-risk applications
- Conduct quarterly AI risk assessments with Legal InfoSec and Privacy teams; maintain AI model inventory and compliance dashboard
- Partner with AI Ethics & Governance Specialist to establish enterprise-wide responsible AI frameworks

About the team
We are a team that cares about your work-life balance while challenging you to solve problems at high scale. You will be part of a strong team in a fast-paced start-up environment where agile development is embraced and innovation is encouraged. You will get support and resources from some of the smartest people in the industry to continue your personal and professional growth. Youll be joining a fun team that prides itself on a great work environment with an inclusive group of people that loves working together towards a common goal and make history in launching a new strategic service in the industry.

- 10 years of building large-scale machine learning and AI solutions at Internet scale experience
- Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10 years of practical work applying ML to solve complex problems for large-scale applications experience
- 5 years of hands-on work in big data machine learning and predictive modeling experience
- 5 years of people management experience
- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience with Java C or other programming language as well as with R MATLAB Python or an equivalent scripting language
- Experience researching actual applications

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 218800.00 - 295900.00 USD annually