Drive consensus among Tech and Finance partners on strategic roadmaps and prioritization; influence the direction of multiple engineering teams and advise senior leaders on program strategy and trade-offs
Lead the transition from legacy financial reporting systems to a modern data lakehouse architecture with AI-powered automated workflows, managing schedules, risks, and success metrics across interdependent teams
Champion the adoption of Generative AI tools and automation across program management workflows, establishing best practices for AI-assisted planning, execution, and reporting
Mentor Technical Program Managers and cross-functional team members, sharing program management best practices and raising the quality of execution across the organization
A day in the life
You start your morning reviewing program metrics and dashboards to identify emerging risks. Mid-morning, you facilitate a cross-team alignment meeting where engineering leads debate technical trade-offs — your role is to guide the discussion toward a clear decision. After lunch, you draft a program update narrative for senior leadership, distilling technical progress into concrete business outcomes. Later, you connect with a partner team to negotiate a dependency timeline and unblock a critical deliverable.
About the team
The Stores Finance Tech Team builds and operates the data infrastructure and analytics platforms that power financial planning and reporting for Amazon's Global Customer Fulfillment network — a finance organization supporting hundreds of fulfillment and logistics sites worldwide. Our team of engineers, data scientists, and program managers partners closely with Operations Finance leaders to deliver reliable, timely insights that inform capital allocation, cost optimization, and operational decisions at scale.
We are in the middle of a multi-year platform modernization, migrating from legacy reporting systems to a lakehouse architecture augmented by Generative AI capabilities. If you want to shape how a large finance organization consumes and acts on data, this is the team to join.
10+ years of technical product or program management experience
10+ years of working directly with engineering teams experience
5+ years of software development experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
8+ years of hands-on work managing complex technology projects experience
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
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 - 177,000.00 - 239,400.00 USD annually
