Learning Program Manager Visa Sponsorship Jobs in New York
New York is one of the strongest markets in the country for learning program manager roles, with major employers including Google, Amazon, JPMorgan Chase, and Deloitte regularly hiring L&D professionals across Manhattan, Brooklyn, and Long Island City. The city's concentration of financial services, tech, and professional services firms creates consistent demand, including positions that offer visa sponsorship.
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We are seeking a Senior Program Manager to lead the AI-driven transformation of how the Learning Design and Development (LDD) team creates, manages, and delivers learning content. This role exists to fundamentally rethink how learning is built — using AI to generate content, enforce quality standards, close learning gaps against role profiles, and compress design timelines from months to days.
You will take ownership of foundational work already underway — a modular content ecosystem, AI-enabled workflows, and capability-based learning standards — and accelerate it from prototype to production-ready, AI-native operations. This role is one of two enabling functions that span all three LDD organizational pillars (Learning Design & Journey Architecture, Content Operations & Quality, and Learning Innovation) — you own the AI-powered infrastructure and systems that make them work as one integrated engine.
Your work directly enables GOLD’s unified architecture — building the infrastructure and content engine layers that cross-functional teams depend on to deliver learning at scale. This is a transformation leadership role: you will challenge the status quo, model what AI-first work looks like, and pull LDD and GOLD into the future of learning design.
Key job responsibilities
- Reimagine how learning content is built — by applying AI to fundamentally compress design and production cycles — replacing manual, sequential processes with AI-native workflows that produce, review, quality-check, and iterate on content in days, not months.
- Own the requirements and strategic direction for LDD’s centralized AI-accessible content repository — including metadata standards, taxonomy frameworks, version control, and governance tooling — partnering with enterprise product teams and technical partners to translate those requirements into a production-ready build designed for AI-first content creation, retrieval, and assembly.
- Design and deploy AI systems that enforce quality at scale — building automated governance, verification loops, and quality gates that ensure content meets standards without relying on manual review, and that proactively identify learning gaps against role profiles and capability requirements.
- Lead AI adoption and capability-building across the LDD team — by modeling AI-first behaviors daily, coaching designers to build their own production-ready AI workflows, and creating the playbooks, templates, and systems that make AI-enabled work the default across all three organizational pillars.
- Drive cross-platform integration strategy across enterprise learning systems – (LMS, talent ecosystems, content management platforms), translating LDD’s AI-enabled content architecture into scalable technical requirements and coordinating execution with enterprise technology partners.
- Operate with radical speed and a bias for action — measuring progress in days and weeks, not months. Thrive in ambiguity, build while learning, deliver working outputs iteratively, and ground infrastructure decisions in real user needs by validating assumptions with designers, program teams, and learners before scaling.
- Challenge existing processes and question whether they should exist — bringing fresh perspective to legacy workflows, proposing AI-native alternatives that eliminate categories of manual work, and helping the team see what’s possible when AI is the starting point for content creation, governance, and delivery.
BASIC QUALIFICATIONS
- 7+ 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
- Bachelor's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Experience developing, deploying and managing AI products at scale
- Experience using content management systems and content tools
- Experience delivering results for large, cross-functional initiatives/projects
- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
PREFERRED QUALIFICATIONS
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Knowledge of Six Sigma tools, Lean techniques, PMP or similar standards preferred
- Experience delivering results for large, cross-functional initiatives/projects, or experience in creating process improvements with automation and analysis
- Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience in learning design, learning science, instructional design, educational psychology, or a similar field
- Deep, demonstrated AI proficiency: you build production-ready AI workflows — not just use AI tools. You have designed automated processes, created reusable AI systems for team-wide adoption, integrated AI into operational workflows, and measurably changed how work gets done through AI enablement.
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, NY, New York - 127,200.00 - 185,000.00 USD annually
USA, TN, Nashville - 104,100.00 - 155,400.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually
DESCRIPTION
We are seeking a Senior Program Manager to lead the AI-driven transformation of how the Learning Design and Development (LDD) team creates, manages, and delivers learning content. This role exists to fundamentally rethink how learning is built — using AI to generate content, enforce quality standards, close learning gaps against role profiles, and compress design timelines from months to days.
You will take ownership of foundational work already underway — a modular content ecosystem, AI-enabled workflows, and capability-based learning standards — and accelerate it from prototype to production-ready, AI-native operations. This role is one of two enabling functions that span all three LDD organizational pillars (Learning Design & Journey Architecture, Content Operations & Quality, and Learning Innovation) — you own the AI-powered infrastructure and systems that make them work as one integrated engine.
Your work directly enables GOLD’s unified architecture — building the infrastructure and content engine layers that cross-functional teams depend on to deliver learning at scale. This is a transformation leadership role: you will challenge the status quo, model what AI-first work looks like, and pull LDD and GOLD into the future of learning design.
Key job responsibilities
- Reimagine how learning content is built — by applying AI to fundamentally compress design and production cycles — replacing manual, sequential processes with AI-native workflows that produce, review, quality-check, and iterate on content in days, not months.
- Own the requirements and strategic direction for LDD’s centralized AI-accessible content repository — including metadata standards, taxonomy frameworks, version control, and governance tooling — partnering with enterprise product teams and technical partners to translate those requirements into a production-ready build designed for AI-first content creation, retrieval, and assembly.
- Design and deploy AI systems that enforce quality at scale — building automated governance, verification loops, and quality gates that ensure content meets standards without relying on manual review, and that proactively identify learning gaps against role profiles and capability requirements.
- Lead AI adoption and capability-building across the LDD team — by modeling AI-first behaviors daily, coaching designers to build their own production-ready AI workflows, and creating the playbooks, templates, and systems that make AI-enabled work the default across all three organizational pillars.
- Drive cross-platform integration strategy across enterprise learning systems – (LMS, talent ecosystems, content management platforms), translating LDD’s AI-enabled content architecture into scalable technical requirements and coordinating execution with enterprise technology partners.
- Operate with radical speed and a bias for action — measuring progress in days and weeks, not months. Thrive in ambiguity, build while learning, deliver working outputs iteratively, and ground infrastructure decisions in real user needs by validating assumptions with designers, program teams, and learners before scaling.
- Challenge existing processes and question whether they should exist — bringing fresh perspective to legacy workflows, proposing AI-native alternatives that eliminate categories of manual work, and helping the team see what’s possible when AI is the starting point for content creation, governance, and delivery.
BASIC QUALIFICATIONS
- 7+ 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
- Bachelor's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Experience developing, deploying and managing AI products at scale
- Experience using content management systems and content tools
- Experience delivering results for large, cross-functional initiatives/projects
- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
PREFERRED QUALIFICATIONS
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Knowledge of Six Sigma tools, Lean techniques, PMP or similar standards preferred
- Experience delivering results for large, cross-functional initiatives/projects, or experience in creating process improvements with automation and analysis
- Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience in learning design, learning science, instructional design, educational psychology, or a similar field
- Deep, demonstrated AI proficiency: you build production-ready AI workflows — not just use AI tools. You have designed automated processes, created reusable AI systems for team-wide adoption, integrated AI into operational workflows, and measurably changed how work gets done through AI enablement.
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, NY, New York - 127,200.00 - 185,000.00 USD annually
USA, TN, Nashville - 104,100.00 - 155,400.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually
Learning Program Manager Job Roles in New York
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Search Learning Program Manager Jobs in New YorkLearning Program Manager Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for learning program managers in New York?
Large employers with established HR and immigration infrastructure are the most consistent sponsors. In New York, that includes financial institutions like JPMorgan Chase, Citigroup, and Goldman Sachs, tech companies like Google and Amazon with offices in the city, and consulting firms like Deloitte, McKinsey, and Accenture. These organizations have dedicated legal teams and sponsor H-1B visa and other work visas for learning and development roles regularly.
Which visa types are most common for learning program manager roles in New York?
The H-1B is the most common visa category for learning program manager positions in New York. These roles typically qualify as specialty occupations because they require a bachelor's degree or higher in instructional design, education, organizational development, or a related field. Candidates already holding L-1 visa or O-1 visa status may also find employers willing to support those categories, depending on their background and the employer's legal preferences.
How to find learning program manager visa sponsorship jobs in New York?
Migrate Mate is built specifically for this search. You can filter by role and state to surface learning program manager positions in New York where employers have indicated visa sponsorship availability. This saves significant time compared to sifting through general postings where sponsorship willingness is unclear. Migrate Mate also provides context on which employers and industries are actively hiring international candidates for L&D roles in the New York market.
Which cities in New York have the most learning program manager sponsorship jobs?
Manhattan accounts for the majority of learning program manager openings in New York state, driven by the concentration of corporate headquarters in finance, consulting, media, and technology. Brooklyn and Long Island City have grown as secondary hubs, particularly for tech and startup employers. Albany occasionally surfaces openings tied to state government agencies and healthcare systems, but the volume remains heavily weighted toward New York City.
Are there any New York-specific considerations for learning program manager visa sponsorship candidates?
New York's prevailing wage requirements under H-1B rules reflect the city's high cost of living, so employers sponsoring learning program manager roles must meet Department of Labor wage thresholds for the New York metropolitan area. Candidates with graduate degrees from universities in the SUNY or CUNY systems, or institutions like Columbia and NYU, may find that local employer networks and alumni connections provide a practical advantage when identifying sponsorship-willing hiring managers.
What is the prevailing wage for sponsored learning program manager jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.