Senior Program Manager, Transformation

About the role

Join the Workforce Staffing (WFS) Transformation team in driving the future of WFS through data-driven program execution, process engineering, and strategic analysis. You'll play a pivotal role as a Program Manager supporting global hiring strategies and key initiatives, delivering end-to-end analytics-powered solutions that optimize global recruitment processes across tier 1 associate hiring—impacting more than 1 million hires and over 5 million applications worldwide annually.

This role sits at the intersection of program management and deep data analytics. You will own the strategy, execution, and delivery of programs leveraging advanced analytics, generative AI, and process engineering to drive measurable business outcomes. You'll translate complex data into actionable insights, build scalable solutions, and drive progress across cross-functional teams while operating with ambiguity and owning outcomes end-to-end.

The ideal candidate is a creative, demonstrated leader with a superior ability to learn new technology and make data-driven decisions. This is an opportunity to operate in a fast-paced environment where innovation meets scale, developing deep expertise in workforce analytics and process engineering while contributing to mission-critical hiring operations.

Responsibilities

• Drive end-to-end program execution for data analytics and process engineering initiatives across global workforce staffing operations (1M+ hires, 5M+ applications annually).
• Own program strategy, roadmaps, and delivery for analytics solutions—dashboards, automated reporting, and insight generation tracking hiring funnel performance, cost per hire, and fill rate metrics.
• Lead process engineering to drive global standardization of metrics and build scalable frameworks improving efficiency and quality of hire.
• Analyze large datasets using SQL to generate insights for workforce planning, risk detection, and early attrition signals enabling faster intervention on quality-of-hire indicators.
• Leverage generative AI to accelerate insight generation, automate workflows, and develop innovative solutions enhancing program delivery.
• Manage stakeholder relationships across multiple geographies, translating analytical insights into actionable recommendations tied to "Must Win" goals.
• Drive cross-team collaboration, manage dependencies and risks, and deliver executive-ready white papers and presentations communicating program outcomes to senior leadership.

A day in the life

Your day will be a dynamic blend of strategic program execution, deep data analysis, and cross-functional collaboration. You might start by querying large datasets to uncover optimization opportunities in recruitment processes, then shift to driving a stakeholder review on program milestones and dependencies. You'll leverage generative AI tools to accelerate insight generation, facilitate alignment across regional teams, and translate thousands of lines of data into clear, actionable recommendations for leadership. Expect to move fast, operate in ambiguity, and own outcomes—balancing process engineering with analytics to drive measurable progress rather than just output.

Requirements

• Bachelor's degree or equivalent in Business, Program Management, Human Resources, Employment Law, Computer Science, Finance, Computer Information Systems, Engineering, Operations Research, or a related field.
• 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 drive improvements.
• 3+ years of experience processing large, multi-dimensional datasets from multiple sources.
• Knowledge of data visualization tools such as QuickSight, Tableau, Power BI, or other BI packages.
• Experience defining program requirements and using data and metrics to drive improvements.
• Strong written and oral communication skills, including the ability to communicate with all levels in the organization (technical, business, executive).
• 2+ years of SQL experience.

Preferred Qualifications

• Experience developing, deploying, and managing AI products at scale.
• 4+ years of developing automated reporting experience.
• Experience in process engineering and operational improvement methodologies.
• Experience with ETL pipelines, data modeling, or scripting languages (Python).
• Track record of successfully launching programs that combine process engineering with analytics at scale.
• Ability to move fast, operate with ambiguity, and own outcomes end-to-end.
• Master's degree in Business, Data Analytics, Engineering, or related field.

Pay

The base salary range for this position is as follows:

• USA, AZ, Tempe: $125,800.00 - $170,200.00 USD annually
• USA, TN, Nashville: $113,300.00 - $160,000.00 USD annually
• USA, VA, Arlington: $125,800.00 - $170,200.00 USD annually
• USA, WA, Seattle: $125,800.00 - $170,200.00 USD annually

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.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP) and 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 amazon.jobs/en/benefits.