E-3 Visa Director Of People Jobs
Director of People roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in human resources, organizational psychology, or a related field. Australian HR leaders bringing strategic workforce experience to U.S. companies can secure renewable two-year status with no lottery and no annual cap.
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Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
DESCRIPTION
The People Technology team is looking for an AI Enablement Lead to partner with our business owners and engineering teams on re-engineering processes using new emerging technology.
This role sits squarely at the intersection of business strategy, technology, process design, and applied AI. The ideal candidate combines operational judgment with technical fluency - understanding both the realities of People processes and the practical considerations required to deploy AI-enabled workflows responsibly at enterprise scale.
This is a high-ownership, high-visibility role that will help influence how the People organization evolves its operational model over time.
Responsibilities
- Conduct structured assessments across People functions to identify workflows where AI-enabled automation can deliver meaningful improvements in user experience, effectiveness, scalability and accuracy
- Evaluate opportunities based on operational leverage, business value, process complexity, risk profile, governance considerations, and measurable impact
- Identify repetitive manual work, operational bottlenecks, fragmented workflows, and high-volume process areas suitable for intelligent automation
- Build and maintain a prioritized backlog and roadmap of AI deployment opportunities tied to clearly defined operational KPIs and business outcomes
- Map structured and unstructured data flows across enterprise platforms including Workday, ServiceNow, People EDW, collaboration platforms, project management tooling, and knowledge repositories
- Define human-in-the-loop review checkpoints, escalation paths, auditability requirements, and governance controls within deployed workflows
- Configure and operationalize AI-enabled workflows using APIs, MCP servers, orchestration tooling, integration layers, and enterprise operational platforms
- Translate operational requirements into scalable production-ready solutions with appropriate safeguards, monitoring, documentation, and support models
- Ensure deployed solutions remain maintainable, supportable, and operationally sustainable over time
- Operate and monitor deployed agents and AI-enabled workflows against defined operational KPIs including cycle time, exception rates, accuracy, reliability, adoption, and workflow quality
- Manage evaluations, regression testing, and workflow validation following significant model updates, schema changes, process modifications, or operational dependency changes
- Maintain operational documentation including workflow maps, data lineage, escalation models, governance considerations, and change logs
- Partner cross-functionally with People team leadership, operations teams, engineering, governance, security, and platform teams to ensure deployed workflows align with enterprise standards and operational controls
- Surface emerging automation opportunities as operational needs and organizational priorities evolve
- Drive iterative improvement of deployed workflows through operational feedback loops, usage patterns, testing, and ongoing refinement
- Support adoption of AI-enabled workflows through rollout planning, stakeholder engagement, operational enablement, documentation, and training support
- Establish and maintain People-specific knowledge repositories including process documentation, operational narratives, runbooks, LOB context, and workflow guidance
- Ensure knowledge assets remain current, governed, and accessible in ways that improve both workflow reliability and team self-service capabilities
- Contribute to operational best practices for deploying AI-enabled systems responsibly within enterprise People environments
PREFERRED QUALIFICATIONS
- Deep technical understanding of modern AI application architecture, including LLM-powered applications, tool calling, retrieval and grounding, context management, structured outputs, and agentic workflow orchestration.
- Experience designing agentic architectures such as tool-using agents, orchestrator/worker patterns, multi-agent workflows, event-driven agents, approval-based workflows, and human-in-the-loop systems.
- Experience building or integrating solutions using APIs, MCP servers, orchestration frameworks, enterprise integration layers, and reusable agent/tool interfaces.
- Understanding of enterprise hosting and deployment patterns for AI-enabled applications, including runtime environments, environment separation, scalability, reliability, configuration management, and production support.
- Strong knowledge of security patterns for AI and enterprise applications, including authentication, authorization, service identities, secrets management, least-privilege access, secure API design, auditability, and sensitive-data handling.
- Experience with AI evaluation and observability practices, including tracing, logging, regression testing, quality evaluation, latency and reliability monitoring, failure analysis, and production telemetry.
- Understanding of state management, retries, fallbacks, exception handling, escalation paths, and long-running workflow design for production agentic systems.
- Experience working with structured and unstructured enterprise data, including data access patterns, schemas, SQL, retrieval pipelines, knowledge repositories, and enterprise data platforms.
- Familiarity with software engineering practices such as source control, CI/CD, automated testing, release management, environment management, and operational support.
- Experience identifying reusable AI capabilities, integration patterns, shared services, and platform components that can scale across multiple business functions.
- Strong understanding of responsible AI, privacy, governance, and control requirements in environments involving sensitive employee or enterprise data.
- Experience within People, HR technology, People Operations, People Support, or adjacent enterprise business functions is a plus.
MINIMUM QUALIFICATIONS
- 8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
- Strong experience translating complex business and operational requirements into scalable technology solutions.
- Demonstrated experience designing, building, or enabling automated workflows across enterprise systems and business processes.
- Hands-on technical fluency with APIs, integrations, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
- Experience working with AI-enabled applications, agentic workflows, or intelligent automation solutions in an enterprise environment.
- Strong understanding of software delivery and production lifecycle concepts, including development, testing, deployment, monitoring, support, and continuous improvement.
- Experience partnering across engineering, business, security, governance, UX, and platform teams to deliver enterprise solutions.
- Ability to evaluate technical feasibility, operational complexity, business value, risk, and scalability when prioritizing automation opportunities.
- Strong communication and stakeholder-management skills with the ability to translate between technical teams and business partners.
- Ability to operate effectively in ambiguous environments, independently shape problems, and drive initiatives from discovery through implementation and adoption.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,200 and $249,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
DESCRIPTION
The People Technology team is looking for an AI Enablement Lead to partner with our business owners and engineering teams on re-engineering processes using new emerging technology.
This role sits squarely at the intersection of business strategy, technology, process design, and applied AI. The ideal candidate combines operational judgment with technical fluency - understanding both the realities of People processes and the practical considerations required to deploy AI-enabled workflows responsibly at enterprise scale.
This is a high-ownership, high-visibility role that will help influence how the People organization evolves its operational model over time.
Responsibilities
- Conduct structured assessments across People functions to identify workflows where AI-enabled automation can deliver meaningful improvements in user experience, effectiveness, scalability and accuracy
- Evaluate opportunities based on operational leverage, business value, process complexity, risk profile, governance considerations, and measurable impact
- Identify repetitive manual work, operational bottlenecks, fragmented workflows, and high-volume process areas suitable for intelligent automation
- Build and maintain a prioritized backlog and roadmap of AI deployment opportunities tied to clearly defined operational KPIs and business outcomes
- Map structured and unstructured data flows across enterprise platforms including Workday, ServiceNow, People EDW, collaboration platforms, project management tooling, and knowledge repositories
- Define human-in-the-loop review checkpoints, escalation paths, auditability requirements, and governance controls within deployed workflows
- Configure and operationalize AI-enabled workflows using APIs, MCP servers, orchestration tooling, integration layers, and enterprise operational platforms
- Translate operational requirements into scalable production-ready solutions with appropriate safeguards, monitoring, documentation, and support models
- Ensure deployed solutions remain maintainable, supportable, and operationally sustainable over time
- Operate and monitor deployed agents and AI-enabled workflows against defined operational KPIs including cycle time, exception rates, accuracy, reliability, adoption, and workflow quality
- Manage evaluations, regression testing, and workflow validation following significant model updates, schema changes, process modifications, or operational dependency changes
- Maintain operational documentation including workflow maps, data lineage, escalation models, governance considerations, and change logs
- Partner cross-functionally with People team leadership, operations teams, engineering, governance, security, and platform teams to ensure deployed workflows align with enterprise standards and operational controls
- Surface emerging automation opportunities as operational needs and organizational priorities evolve
- Drive iterative improvement of deployed workflows through operational feedback loops, usage patterns, testing, and ongoing refinement
- Support adoption of AI-enabled workflows through rollout planning, stakeholder engagement, operational enablement, documentation, and training support
- Establish and maintain People-specific knowledge repositories including process documentation, operational narratives, runbooks, LOB context, and workflow guidance
- Ensure knowledge assets remain current, governed, and accessible in ways that improve both workflow reliability and team self-service capabilities
- Contribute to operational best practices for deploying AI-enabled systems responsibly within enterprise People environments
PREFERRED QUALIFICATIONS
- Deep technical understanding of modern AI application architecture, including LLM-powered applications, tool calling, retrieval and grounding, context management, structured outputs, and agentic workflow orchestration.
- Experience designing agentic architectures such as tool-using agents, orchestrator/worker patterns, multi-agent workflows, event-driven agents, approval-based workflows, and human-in-the-loop systems.
- Experience building or integrating solutions using APIs, MCP servers, orchestration frameworks, enterprise integration layers, and reusable agent/tool interfaces.
- Understanding of enterprise hosting and deployment patterns for AI-enabled applications, including runtime environments, environment separation, scalability, reliability, configuration management, and production support.
- Strong knowledge of security patterns for AI and enterprise applications, including authentication, authorization, service identities, secrets management, least-privilege access, secure API design, auditability, and sensitive-data handling.
- Experience with AI evaluation and observability practices, including tracing, logging, regression testing, quality evaluation, latency and reliability monitoring, failure analysis, and production telemetry.
- Understanding of state management, retries, fallbacks, exception handling, escalation paths, and long-running workflow design for production agentic systems.
- Experience working with structured and unstructured enterprise data, including data access patterns, schemas, SQL, retrieval pipelines, knowledge repositories, and enterprise data platforms.
- Familiarity with software engineering practices such as source control, CI/CD, automated testing, release management, environment management, and operational support.
- Experience identifying reusable AI capabilities, integration patterns, shared services, and platform components that can scale across multiple business functions.
- Strong understanding of responsible AI, privacy, governance, and control requirements in environments involving sensitive employee or enterprise data.
- Experience within People, HR technology, People Operations, People Support, or adjacent enterprise business functions is a plus.
MINIMUM QUALIFICATIONS
- 8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
- Strong experience translating complex business and operational requirements into scalable technology solutions.
- Demonstrated experience designing, building, or enabling automated workflows across enterprise systems and business processes.
- Hands-on technical fluency with APIs, integrations, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
- Experience working with AI-enabled applications, agentic workflows, or intelligent automation solutions in an enterprise environment.
- Strong understanding of software delivery and production lifecycle concepts, including development, testing, deployment, monitoring, support, and continuous improvement.
- Experience partnering across engineering, business, security, governance, UX, and platform teams to deliver enterprise solutions.
- Ability to evaluate technical feasibility, operational complexity, business value, risk, and scalability when prioritizing automation opportunities.
- Strong communication and stakeholder-management skills with the ability to translate between technical teams and business partners.
- Ability to operate effectively in ambiguous environments, independently shape problems, and drive initiatives from discovery through implementation and adoption.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,200 and $249,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 134+ E-3 Visa Director Of People Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Director Of People Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Director Of People
Frame your credentials for U.S. specialty occupation
Your Australian HR qualifications need to map clearly to the specialty occupation standard. A three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but prepare documentation showing your field of study aligns with the Director of People role.
Target companies with existing LCA filing history
U.S. employers who've already filed Labor Condition Applications for HR or people operations roles understand the DOL certification step. Prioritize these organizations, they won't need educating on the E-3 visa process during offer negotiations.
Use Migrate Mate's E-3 filing service for your LCA
The LCA must be DOL-certified before your visa interview. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so your employer isn't navigating the process alone, which reduces delays between offer acceptance and your consulate appointment.
Address dual intent directly with hiring managers
The E-3 is a nonimmigrant visa, so you'll need to demonstrate nonimmigrant intent at your consulate interview. Brief your prospective employer on this distinction before the offer stage so it doesn't become a last-minute concern during the hiring process.
Negotiate your start date around consulate wait times
E-3 consulate appointment availability in Sydney, Melbourne, and Perth varies by season. Build at least four to six weeks between your signed offer and your intended start date to absorb scheduling gaps without breaching your employment contract.
Verify your prevailing wage tier matches the role scope
DOL prevailing wage levels for people operations roles depend on the job's actual duties and seniority. A Director of People title at a seed-stage startup may be classified differently than at a 500-person company, affecting your LCA wage requirement.
E-3 Visa Director Of People: Frequently Asked Questions
How do I find Director of People jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 eligible roles in the U.S. You can filter Director of People positions by employers with active sponsorship history, removing the guesswork of cold-applying to companies unfamiliar with the E-3 process. Most mainstream job boards don't filter by visa type, so you end up spending time on roles that won't move forward.
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 Director of People role qualify as a specialty occupation for the E-3?
Yes, provided the role genuinely requires a bachelor's degree or higher in a specific field such as human resources, organizational psychology, or business administration. The key is that the degree must be a minimum requirement for entry into the position, not just preferred. Generalist executive roles where any degree suffices can create issues during USCIS or consular review, so the job description should clearly tie the duties to a specific field of study.
How does the E-3 compare to the H-1B for Director of People roles?
The E-3 has no annual cap and no lottery, so you can apply any time of year and start as soon as your visa is issued, unlike the H-1B visa which requires lottery selection in April for an October start. For people operations leaders, this means you can pursue roles on your own timeline without a one-year wait. The trade-off is that the E-3 is available exclusively to Australian citizens.
Can I change employers after starting a Director of People role on an E-3?
Yes, but your new employer must file a fresh LCA with the DOL and you'll need a new E-3 visa stamp before re-entering the U.S. or, in some cases, a change of status if you're already in the country. Unlike the H-1B, there's no portability provision that lets you start the new role immediately upon filing. Confirm the new employer's timeline before giving notice at your current position.