Amazon
From Amazon's careers page
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You'll be a scaling expert who changes how a global organization operates.
AWS Global Deal Strategy and Programs (GDSP) is looking for a Sr. Business Process Specialist to join the Scaling & Mechanisms team. You'll be a scaling expert who changes how a global organization operates. You'll design, build, and embed lasting mechanisms that help GDSP scale efficiently while raising the bar on consistency and quality.
You do your best work in ambiguity. GDSP moves fast and is agile, so you'll treat shifting priorities, incomplete information, and changing business needs as normal, not as obstacles. You bring structure where there is none, make progress before the full picture is clear, and adapt mechanisms as the organization evolves. Your solutions fit GDSP's culture because you understand how the organization works and what it needs.
You'll partner cross-functionally with teams across AWS and around the world, including HR, Finance, Legal, Operations, Compensation, and IT. You'll turn strategy into concrete operating mechanisms and make sure GDSP's goals and priorities stay on track across complex initiatives that compete for attention. To succeed, you need to align partners with different goals and priorities, use data to guide decisions, and deliver results through influence, often without direct authority.
You're a builder who designs and delivers AI solutions that transform how GDSP works. You draw on hands-on experience finding high-value AI use cases, then building, deploying, and scaling the solutions that bring them to life. You look across existing processes to spot manual, repetitive, or judgment-heavy work that AI and intelligent automation can re-engineer, and you take those solutions from idea to production. You pair this with rigorous, data-driven process improvement. You map workflows, question and put data in context, and check AI outputs against facts, business context, and logic. You use sound judgment to weigh business priorities, risk, and stakeholder needs so your solutions are trusted, adopted, and built to last. Your AI fluency changes how work gets done, not just how fast.
You'll own complex, high-visibility initiatives tied to GDSP's strategic goals. That means standardizing operating procedures, running several initiatives at once, setting clear milestones, and delivering measurable results. You'll also drive adoption at every level of the organization so new ways of working take hold and improvements last.
You're a systems thinker who cares about scalable solutions and thrives on change. You're as comfortable with the big picture as you are with the details. You find opportunities to scale the organization in ways that fit its culture, build mechanisms without waiting to be asked, and bring big, ambitious ideas to your work.
Design, build, and embed scalable mechanisms that improve consistency, quality, and efficiency across GDSP
Spot manual, repetitive, or judgment-heavy work and re-engineer it with intelligent automation and AI
Check AI outputs for accuracy against facts, business context, and logic before they're used in decisions
Partner with teams across AWS and around the world, including HR, Finance, Legal, Operations, Compensation, and IT, to turn GDSP strategy into concrete operating mechanisms
Align cross-functional partners on GDSP goals and priorities across complex initiatives that compete for attention, and deliver results through influence
Own complex, high-visibility initiatives from start to finish, including scope, milestones, and measurable results
Manage several initiatives at once and adjust plans as priorities and business needs change
Standardize operating procedures and document mechanisms so they can scale
Drive adoption at every level of the organization so new ways of working last
Find opportunities to scale the organization without waiting to be asked, and propose ambitious solutions that fit GDSP's culture
5+ years of in program management, workforce strategy development, or metrics-driven decision making experience
Bachelor's degree
Experience developing strategies that influence leadership decisions at the organizational level
Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
Experience interpreting data and making business recommendations across leadership and cross-functional teams
Experience using analytical tools for workforce metrics and reporting
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 - 147,900.00 - 200,100.00 USD annually
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Hi [Name], I just applied for the Senior Business Process Specialist, GDSP Scaling & Mechanisms, AWS role at Amazon. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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