Sr. Manager, Business Operations, Workforce Staffing

We're looking for a strategic operational leader who will serve as the single-threaded owner of how Workforce Staffing (WFS) runs, scales, and improves. As Senior Manager for Business Operations, you'll own the operational backbone of Amazon's high-volume hiring engine, responsible for attracting, hiring, and onboarding hundreds of thousands of associates annually across global operations.

This isn't a role where you maintain existing mechanisms. You'll look around corners, translate leadership direction into strategy and execution plans, and act as a force multiplier across business operations, process engineering, knowledge management, and financial management. You'll connect the dots across verticals: if X happens, you'll anticipate why Y will happen and build the plan to get ahead of it.

This role demands someone who thrives in ambiguity, equally comfortable presenting a quarterly business review to VP-level leadership as diving deep into root-cause analysis on a broken SOP or budget variance. You'll use data to drive decisions (not just report on them), prioritize root cause over symptom, and demonstrate bias for action while managing calculated risk in a fast-paced, high-volume environment. You will identify opportunities to apply GenAI strategically across WFS workflows, validating new use cases and driving adoption beyond personal productivity.

Key job responsibilities
Strategic Operations & Business Rhythm: Establish and own WFS's end-to-end business rhythm incorporating finance cycles, corporate planning milestones, and cross-functional dependencies. Own preparation, facilitation, and follow-through for WBR, MBR, QBR, and MPR reviews. Steward annual planning (OP1/OP2) and goal-setting mechanisms. Translate organizational direction into clear execution plans with measurable outcomes.

Process Engineering & Transformation: Drive transformational improvements across WFS's hiring workflows (candidate attraction through Day 1) with measurable, data-driven impact. Identify systemic bottlenecks through root-cause analysis, design scalable solutions, and partner with technology teams to automate manual steps. Go beyond incremental optimization to deliver step-change improvements that reduce cost-per-hire and time-to-fill at scale.

Data-Driven Decision Making: Own the data architecture and metrics frameworks that enable WFS leadership to make informed decisions. Surface signals in data that alter direction, build mechanisms for proactive issue identification, and quantify impact with rigor. Dive deep into the details to uncover root causes, not just symptoms.

Knowledge Management: Own WFS knowledge management, ensuring operational playbooks, SOPs, runbooks, and best practices are documented, current, version-controlled, and accessible across all regions and teams.

Financial Operations: Manage budget planning, forecasting, variance analysis, cost allocation across programs, and T&E and controllable line items within budget. Apply analytical rigor to financial decision-making and proactively identify opportunities for cost optimization.

GenAI & Innovation: Identify and validate GenAI use cases across WFS operations that drive strategic value. Go beyond personal productivity tools to reshape how the organization operates, evaluating emerging technologies for scalable application across hiring workflows.

Team & Stakeholder Leadership: Develop, coach, and retain a high-performing team across business operations, process engineering, knowledge management, and finance. Lead cross-team projects ensuring regional and global alignment on strategic WFS initiatives. Influence program managers, tech teams, science partners, and process engineers to ensure WFS runs with discipline, scales with consistency, and improves continuously.

A day in the life
You might start by identifying an emerging trend in your hiring funnel data that no one else has connected yet, and building the case for leadership to act before it becomes a problem. You'll facilitate a Monthly Business Review, surfacing hiring funnel defects and financial variances with root-cause analysis, clear owners, and expected completion dates. You'll shift to reviewing a process engineering initiative you're driving, one that fundamentally changes how a workflow operates rather than incrementally improving it. You'll partner with technology teams on a GenAI application that could eliminate a manual step at scale. Throughout the day, you're connecting dots across WFS, translating leadership direction into actionable strategy, and ensuring dependencies are communicated and WFS's perspective is heard across Operations, PXT, Finance, and Tech.

About the team
Workforce Staffing (WFS) is Amazon's high-volume hiring engine, partnering with Operations, PXT, Finance, and Technology teams to deliver a world-class candidate and associate experience while continuously driving down cost-per-hire and time-to-fill through process innovation, operational rigor, and data-driven decision-making.

Basic Qualifications

- Bachelor's degree
- 7+ years of working cross functionally with tech and non-tech teams experience
- 7+ years of program or project management experience
- Experience in people management
- 7+ years of managing, analyzing and communicating results to senior leadership experience
- Experience implementing repeatable processes and driving automation or standardization
- Experience defining program requirements and using data and metrics to determine improvements

Preferred Qualifications

- Experience managing project delivery
- Experience in recruiting especially high volume hiring, both within direct hiring and outsourcing capacities
- Experience managing teams and building solutions in distributed systems or developing large-scale web applications
- Experience using Lean Process Improvement, Six Sigma methodologies or related performance metrics/process improvements to increase efficiency within processes, forecasting, planning, optimization, and logistics
- Experience working independently with minimal supervision, or 2+ years of Amazon experience

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 - 164,700.00 - 222,800.00 USD annually