Program Manager II , Buyer Risk - San Jose

Job Description

Have you ever thought about what it takes to detect and prevent fraudulent purchases among hundreds of millions of e-Commerce transactions in different countries? What would you do to create a trusted marketplace where millions of buyers and sellers can safely transact online? What kinds of processes and systems would you build to maximize customer satisfaction and proactively identify and neutralize new and growing fraud threats?? Amazon is seeking a Program Manager who has strong bias for action, ability to dive deep, and has experience leading multi-organizational initiatives for our global risk team.
Our mission in Buyer Risk Preventions (BRP) is to make Amazon the safest place to transact online. BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.




Key job responsibilities
Project Management: Lead projects for cross-functional teams focused on the delivery of a new feature, service, product, or system. Gather business requirements, document functional and design specifications, identify appropriate resources needed, assemble the right project team, assign individual responsibilities, and develop the milestones and launch schedule to ensure timely and successful delivery of the project.
Change Management & Innovation: Develops and/or influences new ideas/approaches. Establishes procedures, plans and practices which promote the adoption of appropriate solutions and sustainability of desired results in complex operational environments. Develops strategies to enhance decision making.
Results & Accountability: Ensures that effective controls are developed and maintained across the organization. Takes corrective action, as appropriate. Strong commitment towards goals and outcomes and to ensure the completion within established timeframes. Drives and facilitates moderately complex projects; focuses on results and measuring attainment of outcomes.
Reporting: Reporting on progress of multiple projects, KPIs for Amazon Business, and providing regular updates to senior management.
Collaboration: Partners with (advises and supports) the global process owners, Site leaders, Operation managers in identifying, defining and executing various process improvement projects.

Change Management & Innovation: Develops and/or influences new ideas/approaches. Establishes procedures, plans and practices which promote the adoption of appropriate solutions and sustainability of desired results in complex operational environments. Develops strategies to enhance decision making.

Results & Accountability: Ensures that effective controls are developed and maintained across the organization. Takes corrective action, as appropriate. Strong commitment towards goals and outcomes and to ensure the completion within established timeframes. Drives and facilitates moderately complex projects; focuses on results and measuring attainment of outcomes.

Reporting: Reporting on progress of multiple projects, KPIs for Amazon Business, and providing regular updates to senior management.

Collaboration: Partners with (advises and supports) the global process owners, Site leaders, Operation managers in identifying, defining and executing various process improvement projects

Basic Qualifications:

Bachelor's degree in business, engineering, operations, supply chain, transportation logistics or equivalent on-the-role experience (4+ years).

Experience working cross functionally with tech and non-tech teams.

Experience in leading large, cross functional projects.

Experience defining program requirements and using data and metrics to determine improvements.

Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization.

Preferred Qualifications:

Experience of Six Sigma/ Lean analytical techniques.

Masters degree or equivalent in years of experience (6+ yrs) is preferred.

Experience working with Machine Learning techniques, Data Scientists and AI-related technologies.