Senior Program Manager, Relay Operations Center Tech and Operations Integration

Amazon; Tempe (AZ); On-site; USD 116,000 - 160,000; Full time

Job summary

Amazon is seeking a Senior Program Manager for ROC Tech and Operations Integration to scale AI-driven automation across the Relay Operations Center. The role focuses on prototyping GenAI-enabled workflows, partnering with engineering to productionize, and delivering measurable improvements in disruption management and throughput.

You will collaborate with product, engineering, and operations teams to define strategy, govern KPI reporting, and drive cross-organizational alignment while

Qualifications

• 5+ years of program or project management experience.
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership.
• Experience using data and metrics to determine and drive improvements.
• Experience with a variety of digital workflows.
• Experience carrying design concepts through exploration, development, and into deployment or mass production.
• Experience in creating process improvements with automation and analysis, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python).

Responsibilities

• Manage full lifecycle of complex cross-functional, tech and automation-related programs with considerable impact across multiple organizations.
• Identify, prototype, and scale AI-assisted automation solutions: build proof-of-concept workflows using GenAI/LLM tooling and AI workflow builders, validate them against real operational use cases, and partner with engineering teams to productionize.
• Lead scoping for cross-team AI opportunities, including evaluating external solutions for ROC applicability and assessing how ROC-built tools can scale to other teams and business units.
• Partner with engineering, legal, and security stakeholders to ensure AI solutions minimize risk through reliable performance, human-in-the-loop design where appropriate, and standardized integration with the existing tech stack.
• Work with various stakeholders to identify goals, roadblocks, gaps, and solutions, with a bias toward automation-first solution design.
• Ensure stakeholder policy documentation needs are met internally and externally for our customers' needs.
• Develop the overall program strategy (mission, vision, tenets), set objectives, and drive improvements that are quantified with metrics, tactically driving teams in and outside of your organization to deliver.
• Work autonomously in an ambiguous environment, seeking to understand business problems, automation limitations (including where LLMs are and are not the right tool), scaling factors, boundary conditions, and reasons behind leadership decisions.
• Partner with teams across the business you support and beyond to source, allocate, and coordinate resources.
• Partner with internal/external teams and engineering teams to determine what projects move forward and in what priority order, with prioritization grounded in data.
• Oversee gaps between teams, processes, and systems, helping teams reduce exposure to classic failure modes (e.g., requirements not sufficiently understood or documented, ineffective cross-team collaboration, long-term impact(s) from third-party solutions, security not considered, insufficient stakeholder review, etc.)
• Solve ambiguous problems and proactively identify and mitigate risks before they become roadblocks
• Work with program managers, business leaders, and the executive team to communicate and impact critical business initiatives
• Develop, implement, and govern Key Performance Indicator (KPI) reporting for a portfolio of programs, providing visibility to milestones and performance across all projects, including quantified automation impact (e.g., work items deflected, handle-time reduction, decision accuracy)
• Engage other Amazon business units globally to share AI automation best practices and improve end-to-end outcomes for Amazon customers
• Favor automation over human intervention; pursue and deliver enhancements that eliminate the need for manual communication and improve quality
• Prioritize long-term vision over short-term return
• Core understanding of intra-day operations and the broader supply chain middle mile network

Skills

Program management

End-to-end delivery

Data-driven improvements

Automation/AI familiarity

SQL

Python

Education

Master's degree or above in Management, Business Administration, Economics, Engineering, or Marketing

Job description

Description

The Relay Operations Center (ROC) Tech and Operations Integration (OI) team is dedicated to the development and integration of technology that advances efficiency and elevates operational standards of the ROC. We act as liaison between Amazon Transportation Services (ATS) Product and ROC Ops execution teams, to ensure that tech development aligns with customer needs and operations' priorities at a global scale. Beyond technology adoption, we build and deploy AI-powered automation that reshapes how disruption management work gets done across the ROC organization.

Key job responsibilities

• Manage full lifecycle of complex cross-functional, tech and automation-related programs with considerable impact across multiple organizations
• Identify, prototype, and scale AI-assisted automation solutions: build proof-of-concept workflows using GenAI/LLM tooling and AI workflow builders, validate them against real operational use cases, and partner with engineering teams to productionize
• Lead scoping for cross-team AI opportunities, including evaluating external solutions for ROC applicability and assessing how ROC-built tools can scale to other teams and business units
• Partner with engineering, legal, and security stakeholders to ensure AI solutions minimize risk through reliable performance, human-in-the-loop design where appropriate, and standardized integration with the existing tech stack
• Work with various stakeholders to identify goals, roadblocks, gaps, and solutions, with a bias toward automation-first solution design
• Ensure stakeholder policy documentation needs are met internally and externally for our customers' needs
• Develop the overall program strategy (mission, vision, tenets), set objectives, and drive improvements that are quantified with metrics, tactically driving teams in and outside of your organization to deliver
• Work autonomously in an ambiguous environment, seeking to understand business problems, automation limitations (including where LLMs are and are not the right tool), scaling factors, boundary conditions, and reasons behind leadership decisions
• Partner with teams across the business you support and beyond to source, allocate, and coordinate resources
• Partner with internal/external teams and engineering teams to determine what projects move forward and in what priority order, with prioritization grounded in data
• Oversee gaps between teams, processes, and systems, helping teams reduce exposure to classic failure modes (e.g., requirements not sufficiently understood or documented, ineffective cross-team collaboration, long-term impact(s) from third-party solutions, security not considered, insufficient stakeholder review, etc.)
• Solve ambiguous problems and proactively identify and mitigate risks before they become roadblocks
• Work with program managers, business leaders, and the executive team to communicate and impact critical business initiatives
• Develop, implement, and govern Key Performance Indicator (KPI) reporting for a portfolio of programs, providing visibility to milestones and performance across all projects, including quantified automation impact (e.g., work items deflected, handle-time reduction, decision accuracy)
• Engage other Amazon business units globally to share AI automation best practices and improve end-to-end outcomes for Amazon customers
• Favor automation over human intervention; pursue and deliver enhancements that eliminate the need for manual communication and improve quality
• Prioritize long-term vision over short-term return
• Core understanding of intra-day operations and the broader supply chain middle mile network

A day in the life

The Tech and Operations Integration Senior Program Manager will focus on developing strategy to scale the ATS middle mile network through AI-driven automation and technology standardization. A typical week blends builder work and program work: prototyping an LLM-assisted workflow for a Disruption Management use case, advancing a validated solution toward production with engineering partners, reviewing automation performance metrics with operations stakeholders, aligning with product on the WIMs roadmap, and presenting program status and risk mitigation plans to senior leadership. This Program Manager works between product, engineering, and operations, acting as a liaison to drive continuous improvement on behalf of internal and external Amazon customers.

About The Team

The ROC Tech and OI team is dedicated to the development of technology that advances efficiency and elevates operational standards of the Relay Operations Center. To that end, we act as liaison between MMPT (Middle Mile Product Team) and ROC Ops teams, to ensure that feature development aligns with customer needs and operations' priorities at global scale. The key objective of the ROC Tech Team is that all ROC Teams should on Relay technology to the extent that enables ROC to grow as a global organization with geographically agnostic team structures.

Basic Qualifications

• 5+ years of program or project management experience
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership
• Experience using data and metrics to determine and drive improvements

Preferred Qualifications

• Experience with a variety of digital workflows
• Experience carrying design concepts through exploration, development, and into deployment or mass production
• Experience in creating process improvements with automation and analysis, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
• Master's degree or above in Management, Business Administration, Economics, Engineering, or Marketing
• Experience in transportation or supply chain within a high-volume logistics, manufacturing or engineering environment
• Experience in data analysis and basic understanding of AI and Large Language Models (LLMs)

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, AZ, Tempe - 115,600.00 - 160,000.00 USD annually

USA, GA, Atlanta - 115,600.00 - 160,000.00 USD annually

Company

Amazon.com Services LLC

Job ID: A10505718