Sr. Manager, Business Operations, Workforce Staffing

Benefits

Parental leave

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401(k) match

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About this role

Sr. Manager, Business Operations, Workforce Staffing Seattle, Washington, USA Own the operational backbone of Amazon's high-volume hiring engine. As Principal Program Manager for Business Operations, you'll serve as the single-threaded operational leader across business operations, process engineering, knowledge management, and financial management for Workforce Staffing (WFS) - the organization responsible for attracting, hiring, and onboarding hundreds of thousands of associates annually across global operations. Reporting to the Transformation leader, you'll influence program managers, tech teams, science partners, and process engineers to ensure WFS runs with discipline, scales with consistency, and improves continuously. This role demands a leader who thrives in ambiguity - equally comfortable presenting a quarterly business review to VP-level leadership as diving deep into a broken SOP or budget variance. You'll balance frugality with creativity, prioritize root cause over symptom, and demonstrate bias for action while managing calculated risk in a fast-paced, high-volume environment. Key job responsibilities Business Rhythm & Reviews: 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. Process Engineering: Lead process engineering across WFS's hiring workflows (candidate attraction through Day 1), identifying bottlenecks, designing scalable improvements, and partnering with technology teams to automate manual steps. 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

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