A

Amazon

Sells products online and rents cloud computing

Senior Program Manager - Relay Operations Center Tech, Operations Integration

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of program or project management experience.
  • Experience owning program strategy and end-to-end delivery, and communicating results to senior leadership.
  • Experience using data and metrics to determine and drive improvements.
  • Core understanding of intraday operations and the broader supply chain middle-mile network.

Responsibilities

  • Manage the full lifecycle of complex, cross-functional technology and automation programs with considerable impact across multiple organizations.
  • Identify, prototype, and scale AI-assisted automation solutions by building proof-of-concept workflows with generative AI and large language model tooling and AI workflow builders, validating them against operational use cases, and partnering with engineering teams to productionize solutions.
  • Lead scoping for cross-team AI opportunities, including evaluating external solutions for Relay Operations Center applicability and assessing how internally built tools can scale to other teams and business units.
  • Partner with engineering, legal, and security stakeholders to minimize risk through reliable performance, human-in-the-loop design where appropriate, and standardized integration with the existing technology stack.
  • Work with stakeholders to identify goals, roadblocks, gaps, and solutions, prioritizing automation-first solution design.
  • Ensure stakeholder policy documentation needs are met internally and externally for customer needs.
  • Develop program strategy, including mission, vision, and tenets; set objectives; and drive measurable improvements by directing teams inside and outside the organization.
  • Work autonomously in ambiguous environments to understand business problems, automation limitations, scaling factors, boundary conditions, and the reasons behind leadership decisions.
  • Source, allocate, and coordinate resources with teams across and beyond the supported business.
  • Work with internal and external teams and engineering teams to determine project selection and prioritization, grounding priorities in data.
  • Oversee gaps between teams, processes, and systems, helping teams reduce exposure to failure modes such as unclear or undocumented requirements, ineffective cross-team collaboration, long-term impacts of third-party solutions, security oversights, and insufficient stakeholder review.
  • Solve ambiguous problems and proactively identify and mitigate risks before they become roadblocks.
  • Communicate and influence critical business initiatives in partnership with program managers, business leaders, and the executive team.
  • Develop, implement, and govern key performance indicator reporting for a portfolio of programs, providing visibility into milestones and project performance, including quantified automation impact such as work items deflected, handling-time reduction, and decision accuracy.
  • Engage other Amazon business units globally to share AI automation best practices and improve end-to-end customer outcomes.
  • Prioritize automation over human intervention and deliver enhancements that eliminate manual communication and improve quality.
  • Develop strategy to scale the transportation middle-mile network through AI-driven automation and technology standardization.
  • Standardize technology advancements and drive global adoption of Work Item Management Systems.
  • Optimize resource allocation and achieve operational parity by scaling disruption-management technology standardization to new teams and geographies.

Desired Qualifications

  • Experience with a variety of digital workflows.
  • Experience carrying design concepts through exploration and development into deployment or mass production.
  • Experience creating process improvements with automation and analysis, or working with large-scale data mining and reporting tools such as SQL, Microsoft Power Query, or Python.
  • A Master's degree or higher 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 a basic understanding of artificial intelligence and large language models.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

Recently Posted Jobs

Explore more opportunities at Amazon

See more jobs