Sr Program Manager, AI & Data Integration, Global Corporate Communications

Amazon Global Corporate Communications (GCC) is looking for a Senior Program Manager to lead the data and AI systems that GCC's teams rely on. You'll build the shared foundation beneath GCC's work: making its data usable by AI, delivering the AI systems on top of it, and connecting the work across GCC and its partners.

Today, a lot of GCC's most valuable data is scattered. Research, media coverage, agency reporting, processes, and planning documents live in different places and formats, with different access. That makes it hard for teams to bring it together, and hard for AI to do anything with it. You'll connect those sources, structure them so AI can actually retrieve and reason over the content, and design tools on top of them. The teams who produce the data still own it. You make sure it's structured, accessible, and fits together, so everyone gets more out of it.

A lot of this job comes down to giving people across the team more ownership of their work. That happens two ways. First, by reducing dependencies, the places where people are stuck waiting on a manual step, a handoff, or the one person who knows how something works. Second, by clearing away the rote, repetitive work that fills their days. You'll get to know how GCC operates, find where both of these slow people down, and build what it takes to help. Everyone here is a builder, and your job is to support that.

No two months in this role look the same. The data keeps growing, the tools keep changing, and there's always a new challenge worth taking on. It's a great fit for someone who likes to work independently, dig into complex problems, and see their work make a difference across a team.

Basic Qualifications

- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Experience implementing repeatable processes and driving automation or standardization
- Experience working cross functionally with tech and non-tech teams
- Experience in complex problem solving, and working in a tight schedule environment

Preferred Qualifications

- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Knowledge of general AI tools
- Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions

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 - 115,600.00 - 160,000.00 USD annually