E-3 Visa Manufacturing Operations Manager Jobs
Manufacturing Operations Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in engineering, operations management, or a related field. Australian professionals bring globally competitive process improvement credentials that U.S. manufacturers actively seek, and the E-3's no-lottery structure means your application competes on merit, not chance.
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At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: 177,000.00 - 239,400.00 USD annually
DESCRIPTION
At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: 177,000.00 - 239,400.00 USD annually
See all 60+ E-3 Visa Manufacturing Operations Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Manufacturing Operations Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Manufacturing Operations Manager
Get your credentials formally assessed early
Australian three-year engineering or business degrees are generally accepted as U.S. bachelor's equivalents, but your employer's immigration counsel may require a credential evaluation report. Order one from a NACES-approved evaluator before you start applying.
Target manufacturers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify manufacturers that have filed LCAs for operations management roles. Companies with recent filings already understand the E-3 visa process and are far less likely to withdraw an offer over paperwork concerns.
Frame your Lean and Six Sigma credentials precisely
U.S. operations hiring managers compare your certifications against the specialty occupation standard. Listing 'Lean Six Sigma Black Belt' or 'ISO 9001 lead auditor' signals the degree-level expertise the E-3 requires and reduces the risk of an LCA denial on specialty occupation grounds.
Confirm your employer will file the LCA before accepting
The E-3 requires a certified LCA before your consulate appointment, and the employer must file it with the DOL. Clarify this step during the offer stage so there's no ambiguity about who owns the timeline once you've given notice to your current employer.
Use Migrate Mate to manage your filing end to end
Once you have a written offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. For operations managers with complex reporting structures or multi-site roles, having a dedicated E-3 expert review the specialty occupation documentation reduces the chance of an RFE or consulate delay.
Prepare for prevailing wage scrutiny on multi-site roles
If your role oversees facilities in more than one metro area, the DOL may require a separate LCA for each work location. Raise this with your employer's HR team before the LCA is submitted so the filing covers all sites from the start.
E-3 Visa Manufacturing Operations Manager: Frequently Asked Questions
How do I find Manufacturing Operations Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Manufacturing Operations Manager roles where employers are open to E-3 sponsorship, so you're not sifting through listings that will fall apart the moment you mention visa requirements. Filtering by role and visa type from the start saves weeks of dead-end applications.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Manufacturing Operations Manager role qualify as an E-3 specialty occupation?
Yes, provided the position genuinely requires a bachelor's degree or higher in a specific field such as industrial engineering, manufacturing engineering, or operations management. Roles where the employer would accept any degree discipline, or where a degree isn't actually required, can fail the specialty occupation test. The job description needs to reflect degree-level complexity, not just managerial responsibility.
How does the E-3 compare to the H-1B for a Manufacturing Operations Manager?
The E-3 has no annual lottery, so you can apply at any point in the year and your application is decided on its merits. The H-1B visa is capped at 85,000 per year and most applicants enter a random selection lottery. For an Australian professional with a confirmed offer, the E-3 is a direct path where the H-1B would mean waiting for a lottery result that may never come.
Can I transfer my E-3 status if I change employers or move to a different facility?
Yes, but each new employer must file a fresh LCA with the DOL before you start work for them, and you'll need to either attend a new consulate appointment or, if you're already in the U.S., file for a change of status. Moving to a different facility under the same employer generally requires a new LCA if the new location is in a different metropolitan statistical area with a different prevailing wage.