Process Engineer, Operational Excellence, Strategic Planning & Engagement

Amazon; Dallas (TX); On-site; USD 116,000 - 160,000; Full time

Job summary

Amazon is seeking a Process Engineer in the Operational Excellence team to lead cross-functional process improvements and define scalable, measurable solutions. You will work with business leaders to implement data-driven changes and ensure they are operable at scale.

The role emphasizes collaboration with product, engineering, and business teams to translate ambiguous needs into repeatable, AI-enabled processes, while standardizing procedures and measuring impact.

Qualifications

• 5+ years of program or project management experience.
• Experience using data and metrics to determine and drive improvements.
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership.
• 2+ years of driving process improvements experience.
• Lean Six Sigma Green Belt or Black Belt certification.
• Experience in sales operations or sales strategy in a mid-to-large-scale tech company.
• Familiarity with AI-assisted tooling, process mining platforms, or automation frameworks.

Responsibilities

• Lead cross-functional process improvement initiatives from diagnosis through implementation.
• Observe processes, identify bottlenecks with quantitative analysis and process mining.
• Define and standardize processes for AI-enabled operation with decision logic and handoffs.
• Partner with business, product, and engineering teams to translate requirements into scalable solutions.
• Drive adoption of standardized methodologies across organizations and build repeatable frameworks.

Skills

Program management

Data analysis

Leadership

Process improvement

Lean Six Sigma

AI-assisted tooling awareness

Education

Master's degree in Engineering (Industrial or Mechanical) or Operations Research

Tools

Process mining platforms

AI tooling familiarity

Job description

Process Engineer, Operational Excellence, Strategic Planning & Engagement

Job ID: 10482707 | Amazon Web Services, Inc.

Are you someone who questions whether constraints should exist at all — rather than optimizing within them? Do you thrive on transforming broken, missing, or invisible processes into measurable, scalable systems? The Process Engineering team — part of Strategic Planning & Engagement (SPE) within Sales, Marketing & Global Services — is Amazon's operational excellence capability that combines Lean Six Sigma rigor with the ability to build scalable mechanisms that put diagnostic power in the hands of business leaders. We are looking for a Process Engineer who digs into root causes and redesigns processes from scratch — working backwards from the business problem and the customer. You will lead strategic initiatives spanning multiple teams within a VP-level organization, where the process is broken, missing, or invisible. Your job is to make it measurable, simple, and scalable. You will apply Lean Six Sigma methodology — not as a rigid framework, but as a thinking system adapted to each problem. Some engagements require full Define-Measure-Analyze-Improve-Control rigor across months; others demand rapid diagnostic cycles in days. What remains constant: you start with the problem, not the process. You simplify before you automate. You deliver outcomes, not reports. A differentiating capability of this role is defining and standardizing processes with enough fidelity to be operationalized by AI agents — specifying decision logic, branching conditions, exception-handling paths, and measurable acceptance criteria that determine when a process outcome is valid without human review.

Key job responsibilities

• Lead the full lifecycle of complex, cross-functional process improvement initiatives spanning multiple teams — from diagnosis through implementation — using Lean Six Sigma and data-driven methodologies to deliver measurable impact
• Conduct direct observation of processes where work happens, identify operational bottlenecks through quantitative analysis and process mining, and translate findings into structured process designs
• Define and standardize business processes with sufficient detail to be operationalized through AI agents and automation — specifying decision logic, exception-handling paths, role-accountable handoffs, and measurable acceptance criteria
• Partner with business, product, and engineering teams to translate ambiguous requirements into scalable solutions; define measurement frameworks that quantify business impact; and author initial standard operating procedures during process design
• Drive adoption of standardized methodologies across organizations, influence senior stakeholders without direct authority, and build repeatable frameworks that reduce complexity and sustain independently

A day in the life

You will start your week embedded in the business — observing how work actually flows and identifying where friction lives. Mid-week, you are deep in data: running root cause analysis, mapping value streams, and validating hypotheses with stakeholders across the organization. By end of week, you are translating findings into structured process designs — complete with decision logic, handoff accountabilities, and acceptance criteria detailed enough for AI-agent execution. You will regularly present to senior leaders, collaborate across teams, and coach colleagues on methodology.

About the team

Process Engineering is one of six functions within Strategic Planning & Engagement (SPE), a team whose mission is to be a force multiplier for SMGS Ops organizational effectiveness and excellence. We are Lean Six Sigma practitioners and operational excellence experts who drive efficiency through data-driven insights, strategic planning, and business optimization. We work across the organization on the hardest process problems — the ones that are ambiguous, cross-functional, and invisible until someone makes them measurable. We value curiosity over credentials, outcomes over activity, and sustainable systems over one-time fixes.

About AWS

Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• 5+ years of program or project management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership

Preferred Qualifications

• 2+ years of driving process improvements experience
• Master's degree in Engineering (Industrial or Mechanical), Operations Research, or related fields
• Lean Six Sigma Green Belt or Black Belt certification
• Experience in sales operations or sales strategy in a mid-to-large-scale tech company
• Familiarity with AI-assisted tooling, process mining platforms, or automation frameworks

Salary and Benefits

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, TX, Dallas - 115,600.00 - 160,000.00 USD annually

USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually

USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually

Job details

• USA, WA, Seattle
• USA, VA, Arlington
• Corporate Operations

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.