Retail H-1B1 Chile Sponsorship Jobs in Texas
H-1B1 Chile visa sponsorship jobs in Texas retail are concentrated with large national chains operating major distribution hubs and flagship stores across Dallas-Fort Worth, Houston, and Austin. Employers like Walmart, Target, and Amazon regularly file Labor Condition Applications for specialty occupation retail roles, making Texas one of the more active states for Chilean professionals pursuing retail careers in the U.S.
See All Retail JobsOverview
Showing 5 of 37+ Retail H-1B1 Chile Sponsorship Jobs in Texas
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 37+ Retail H-1B1 Chile Sponsorship Jobs in Texas
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Retail H-1B1 Chile Sponsorship Jobs in Texas.
Get Access To All JobsAbout Gap Inc.
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture. Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers. Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement. We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world. We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.
About The Role
Gap Inc. is seeking a Strategic Transformation Lead to drive two of its most consequential technology bets: the execution of its enterprise GCP Data and AI transformation, and the design and stand-up of an AI-native technology delivery entity built the emerging agentic development toolchain. This is a senior role for an executive-caliber operator who has done this before — someone who can anchor a complex, multi-year platform transformation while simultaneously helping Gap design what technology delivery looks like in an AI-native world. The two mandates are sequential in emphasis but parallel in mindset: get the data and AI foundation right and use that foundation to define and build the delivery model that runs on top of it.
GCP Data & AI Program Execution
The GCP Data and AI transformation is Gap’s foundational bet. A strong data and AI platform is the prerequisite for everything that follows — personalization at scale, agentic automation, AI-driven decision-making across brands and functions. This mandate is about making that bet pay off.
The Advisor Will Be Accountable For:
Enterprise Transformation Strategy
- Translate Gap’s Data and AI vision into an executable multi-quarter transformation roadmap with clear sequencing, milestones, dependencies, and value measures tied to business outcomes — not technical deployments.
- Convert high-level strategic objectives into actionable multi-year transformation plans with defined outcomes, operating principles, and success criteria.
- Partner with executive leaders to align roadmap priorities with enterprise goals, business demand, and platform scalability needs.
- Balance near-term delivery objectives with long-term architectural integrity and operating model maturity.
Data & AI Program Leadership
- Drive integrated execution across platform modernization, analytics enablement, data operations, AI capabilities, and engineering delivery — across multiple teams, vendors, and strategic partners including our execution partners and Google.
- Coordinate dependencies across product, engineering, architecture, infrastructure, security, and operations.
- Bring structure and discipline to program delivery in a fast-moving, evolving transformation environment.
- Ensure the transformation delivers durable business outcomes. The GCP Data and AI program is not a collection of projects. It is a coordinated enterprise capability-building agenda.
Executive Governance and Decision Support
- Serve as a trusted advisor to SVP and executive leadership on transformation progress, risk posture, tradeoffs, investment decisions, and sequencing — with the judgment to surface the hard things early.
- Design and run executive governance forums — portfolio reviews, QBRs, steering committees, and escalation mechanisms — that produce decisions, not status updates.
- Produce high-quality executive communications, decision memos, dashboards, and board-ready updates.
- Enable leadership teams to make faster, better-informed decisions through structured reporting, forward-looking insights, and clear recommendations.
Operating Model and Organizational Effectiveness
- Help define and evolve the operating model required to scale Data and AI delivery across the enterprise.
- Introduce or strengthen governance mechanisms for planning, intake, prioritization, capacity alignment, execution reviews, and issue management.
- Improve transparency, accountability, and predictability across teams by standardizing reporting, delivery rhythms, and performance measures.
- Foster cross-functional ways of working that enable business, product, data, and engineering teams to operate as one aligned system.
People & Culture Leadership
- Build, inspire, and develop a high-performing team that embodies accountability, collaboration, and innovation.
- Foster a culture of one team while modeling full ownership to delivery and outcomes expected.
- Serve as a mentor and coach to emerging leaders—raising the organizational bar for performance and development.
Portfolio, Financial, and Resource Governance
- Contribute to annual and quarterly planning processes for the transformation portfolio, including sequencing, prioritization, funding alignment, and value realization.
- Maintain visibility into capital and operating budgets, partner and vendor investments, resource utilization, and portfolio health.
- Partner with Finance and senior leaders to support business cases, investment prioritization, and transformation tradeoff decisions.
- Ensure program execution remains tightly connected to budget discipline, delivery commitments, and measurable enterprise value.
Risk, Readiness, and Execution Discipline
- Establish rigorous mechanisms for identifying, escalating, and resolving risks, dependencies, and execution bottlenecks.
- Improve delivery confidence through strong forecasting, milestone management, capacity planning, and issue resolution.
- Assess organizational readiness and help leaders proactively address change impacts, adoption risks, and execution constraints.
AI-Driven Technology Delivery
The future of technology delivery at Gap is not human developers augmented by AI tools. It is an AI-native delivery model where emerging agentic development platforms are the foundation.
The Advisor Will Be Accountable For:
Structure and Operating Model
- Define the structure, operating model, and capability architecture of an AI-native technology delivery entity — one built from the ground up the broader agentic development toolchain.
- Establish the overall AI operating model based on the existing transformation governance work: the AI-native SDLC, the toolchain governance model, delivery standards, quality and security posture, and the operating principles that make AI-driven delivery safe, repeatable, and measurable at scale.
Talent and Resource Model
- Design the talent and resource model for an AI-native delivery shop — what roles exist, how they differ fundamentally from traditional engineering roles, what the human-to-AI ratio looks like across different delivery contexts, and how the org scales without scaling headcount linearly.
- Define the relationship for the AI operating model and Gap’s existing engineering, product, and platform organizations — what moves into the new entity, what stays in the current model, and how the two operate in parallel during the transition.
Sequencing and Transition
- Map the path from Gap’s current technology delivery operating model to the AI-native target state, with clear milestones, decision points, toolchain adoption gates, and value realization markers.
- Partner with TMO, Engineering, Office of AI, and Enterprise & Solution Architecture to ensure the AI operating model is built on and extends Gap’s existing investments — Agentic SDLC, AI governance posture — rather than creating a parallel track that fragments the portfolio. TMO’s program governance, delivery standards, and portfolio oversight is foundational to how the new entity operates from day one, not an afterthought.
Governance and Quality
- Establish the governance model that ensures AI-driven delivery meets Gap’s security, compliance, architecture, and quality standards — including how code generated by agents is reviewed, tested, deployed, and monitored in production.
- Define year-one success measures — velocity, quality, cost per delivery unit, adoption rate across teams — and work backwards to the decisions that need to be made now to get there.
Executive Investment Case
- Develop the executive narrative and investment case required to move from concept to commitment — operating model options, cost and productivity framing, risk considerations, and a clear phased recommendation.
- Design the business case with operating model options, cost and benefit framing, risk considerations, and a clear recommendation for the path forward.
Who You Are
You have led enterprise transformations at scale— and have either built or advised on the design of new operating models or AI-native capability entities in a complex enterprise environment. You are equally comfortable in an executive governance forum and a working session with engineering leads. You bring a point of view, not just a process.
Transformation and Strategic Leadership
- Proven success leading enterprise transformation programs in complex, matrixed organizations.
- Strong ability to connect strategic ambition to executable plans, governance structures, and measurable outcomes.
- Demonstrated ability to serve as a trusted advisor to senior executives during periods of change, modernization, or operating model evolution.
- Passionate about leading teams, developing people and creating a culture of ownership and continuous improvement.
Data, Technology, and Platform Fluency
- Strong technical fluency across modern cloud, data, platform, and enterprise technology environments.
- Working understanding of data platforms, AI and analytics enablement, cloud ecosystems (GCP preferred), security and compliance considerations, and modern software delivery practices.
- Familiarity with AI-native development toolchains and agentic SDLC frameworks.
- Ability to engage credibly with engineering, architecture, infrastructure, and product leaders on technical tradeoffs and execution implications.
Program and Portfolio Delivery Excellence
- Deep experience running large, cross-functional programs with multiple workstreams, interdependencies, and executive stakeholders.
- Strong command of portfolio planning, milestone management, risk governance, capacity alignment, and delivery reporting.
- Track record of improving execution predictability, organizational transparency, and operational discipline.
Executive Communication and Influence
- Exceptional communication skills with the ability to distill complexity into clear, concise, decision-oriented narratives.
- Strong executive presence and credibility with senior business and technology stakeholders.
- Ability to unify divergent points of view, surface options and tradeoffs, and drive alignment without relying solely on direct authority.
Financial and Operational Acumen
- Experience managing portfolio budgets, capital and operating planning, investment prioritization, and value realization.
- Strong analytical orientation with the ability to use data to guide decisions, manage tradeoffs, and improve outcomes.
- Comfortable operating at both strategic and operational levels simultaneously.
Operating Model and Organizational Design
- Strong capability in operating model design, organizational effectiveness, and stakeholder orchestration.
- Experience standing up new organizational entities, AI centers of excellence, or capability organizations in enterprise environments.
- Demonstrated ability to sustain momentum through ambiguity, competing priorities, and enterprise complexity.
Preferred Additional Experience
- 15+ years of leadership experience spanning enterprise transformation, program leadership, technology strategy, or engineering and data operations.
- Experience leading large-scale GCP, data, analytics, platform, or AI-related transformations — retail, consumer, or digital environments strongly preferred.
- Experience designing or standing up AI-native delivery organizations, innovation entities, or new operating model structures.
- Familiarity with modern enterprise delivery and planning tools such as Jira, Confluence, Smartsheet, Clarity, Power BI, or equivalent platforms.
- Bachelor’s degree in a relevant discipline required. Advanced degree, GCP certification, or program management certification advantageous.
Benefits at Gap Inc.
- Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
- One of the most competitive Paid Time Off plans in the industry.
- Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.
- Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.
- Employee stock purchase plan.
- Medical, dental, vision and life insurance.*
- See more of the benefits we offer.
For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
About Gap Inc.
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture. Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers. Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement. We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world. We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.
About The Role
Gap Inc. is seeking a Strategic Transformation Lead to drive two of its most consequential technology bets: the execution of its enterprise GCP Data and AI transformation, and the design and stand-up of an AI-native technology delivery entity built the emerging agentic development toolchain. This is a senior role for an executive-caliber operator who has done this before — someone who can anchor a complex, multi-year platform transformation while simultaneously helping Gap design what technology delivery looks like in an AI-native world. The two mandates are sequential in emphasis but parallel in mindset: get the data and AI foundation right and use that foundation to define and build the delivery model that runs on top of it.
GCP Data & AI Program Execution
The GCP Data and AI transformation is Gap’s foundational bet. A strong data and AI platform is the prerequisite for everything that follows — personalization at scale, agentic automation, AI-driven decision-making across brands and functions. This mandate is about making that bet pay off.
The Advisor Will Be Accountable For:
Enterprise Transformation Strategy
- Translate Gap’s Data and AI vision into an executable multi-quarter transformation roadmap with clear sequencing, milestones, dependencies, and value measures tied to business outcomes — not technical deployments.
- Convert high-level strategic objectives into actionable multi-year transformation plans with defined outcomes, operating principles, and success criteria.
- Partner with executive leaders to align roadmap priorities with enterprise goals, business demand, and platform scalability needs.
- Balance near-term delivery objectives with long-term architectural integrity and operating model maturity.
Data & AI Program Leadership
- Drive integrated execution across platform modernization, analytics enablement, data operations, AI capabilities, and engineering delivery — across multiple teams, vendors, and strategic partners including our execution partners and Google.
- Coordinate dependencies across product, engineering, architecture, infrastructure, security, and operations.
- Bring structure and discipline to program delivery in a fast-moving, evolving transformation environment.
- Ensure the transformation delivers durable business outcomes. The GCP Data and AI program is not a collection of projects. It is a coordinated enterprise capability-building agenda.
Executive Governance and Decision Support
- Serve as a trusted advisor to SVP and executive leadership on transformation progress, risk posture, tradeoffs, investment decisions, and sequencing — with the judgment to surface the hard things early.
- Design and run executive governance forums — portfolio reviews, QBRs, steering committees, and escalation mechanisms — that produce decisions, not status updates.
- Produce high-quality executive communications, decision memos, dashboards, and board-ready updates.
- Enable leadership teams to make faster, better-informed decisions through structured reporting, forward-looking insights, and clear recommendations.
Operating Model and Organizational Effectiveness
- Help define and evolve the operating model required to scale Data and AI delivery across the enterprise.
- Introduce or strengthen governance mechanisms for planning, intake, prioritization, capacity alignment, execution reviews, and issue management.
- Improve transparency, accountability, and predictability across teams by standardizing reporting, delivery rhythms, and performance measures.
- Foster cross-functional ways of working that enable business, product, data, and engineering teams to operate as one aligned system.
People & Culture Leadership
- Build, inspire, and develop a high-performing team that embodies accountability, collaboration, and innovation.
- Foster a culture of one team while modeling full ownership to delivery and outcomes expected.
- Serve as a mentor and coach to emerging leaders—raising the organizational bar for performance and development.
Portfolio, Financial, and Resource Governance
- Contribute to annual and quarterly planning processes for the transformation portfolio, including sequencing, prioritization, funding alignment, and value realization.
- Maintain visibility into capital and operating budgets, partner and vendor investments, resource utilization, and portfolio health.
- Partner with Finance and senior leaders to support business cases, investment prioritization, and transformation tradeoff decisions.
- Ensure program execution remains tightly connected to budget discipline, delivery commitments, and measurable enterprise value.
Risk, Readiness, and Execution Discipline
- Establish rigorous mechanisms for identifying, escalating, and resolving risks, dependencies, and execution bottlenecks.
- Improve delivery confidence through strong forecasting, milestone management, capacity planning, and issue resolution.
- Assess organizational readiness and help leaders proactively address change impacts, adoption risks, and execution constraints.
AI-Driven Technology Delivery
The future of technology delivery at Gap is not human developers augmented by AI tools. It is an AI-native delivery model where emerging agentic development platforms are the foundation.
The Advisor Will Be Accountable For:
Structure and Operating Model
- Define the structure, operating model, and capability architecture of an AI-native technology delivery entity — one built from the ground up the broader agentic development toolchain.
- Establish the overall AI operating model based on the existing transformation governance work: the AI-native SDLC, the toolchain governance model, delivery standards, quality and security posture, and the operating principles that make AI-driven delivery safe, repeatable, and measurable at scale.
Talent and Resource Model
- Design the talent and resource model for an AI-native delivery shop — what roles exist, how they differ fundamentally from traditional engineering roles, what the human-to-AI ratio looks like across different delivery contexts, and how the org scales without scaling headcount linearly.
- Define the relationship for the AI operating model and Gap’s existing engineering, product, and platform organizations — what moves into the new entity, what stays in the current model, and how the two operate in parallel during the transition.
Sequencing and Transition
- Map the path from Gap’s current technology delivery operating model to the AI-native target state, with clear milestones, decision points, toolchain adoption gates, and value realization markers.
- Partner with TMO, Engineering, Office of AI, and Enterprise & Solution Architecture to ensure the AI operating model is built on and extends Gap’s existing investments — Agentic SDLC, AI governance posture — rather than creating a parallel track that fragments the portfolio. TMO’s program governance, delivery standards, and portfolio oversight is foundational to how the new entity operates from day one, not an afterthought.
Governance and Quality
- Establish the governance model that ensures AI-driven delivery meets Gap’s security, compliance, architecture, and quality standards — including how code generated by agents is reviewed, tested, deployed, and monitored in production.
- Define year-one success measures — velocity, quality, cost per delivery unit, adoption rate across teams — and work backwards to the decisions that need to be made now to get there.
Executive Investment Case
- Develop the executive narrative and investment case required to move from concept to commitment — operating model options, cost and productivity framing, risk considerations, and a clear phased recommendation.
- Design the business case with operating model options, cost and benefit framing, risk considerations, and a clear recommendation for the path forward.
Who You Are
You have led enterprise transformations at scale— and have either built or advised on the design of new operating models or AI-native capability entities in a complex enterprise environment. You are equally comfortable in an executive governance forum and a working session with engineering leads. You bring a point of view, not just a process.
Transformation and Strategic Leadership
- Proven success leading enterprise transformation programs in complex, matrixed organizations.
- Strong ability to connect strategic ambition to executable plans, governance structures, and measurable outcomes.
- Demonstrated ability to serve as a trusted advisor to senior executives during periods of change, modernization, or operating model evolution.
- Passionate about leading teams, developing people and creating a culture of ownership and continuous improvement.
Data, Technology, and Platform Fluency
- Strong technical fluency across modern cloud, data, platform, and enterprise technology environments.
- Working understanding of data platforms, AI and analytics enablement, cloud ecosystems (GCP preferred), security and compliance considerations, and modern software delivery practices.
- Familiarity with AI-native development toolchains and agentic SDLC frameworks.
- Ability to engage credibly with engineering, architecture, infrastructure, and product leaders on technical tradeoffs and execution implications.
Program and Portfolio Delivery Excellence
- Deep experience running large, cross-functional programs with multiple workstreams, interdependencies, and executive stakeholders.
- Strong command of portfolio planning, milestone management, risk governance, capacity alignment, and delivery reporting.
- Track record of improving execution predictability, organizational transparency, and operational discipline.
Executive Communication and Influence
- Exceptional communication skills with the ability to distill complexity into clear, concise, decision-oriented narratives.
- Strong executive presence and credibility with senior business and technology stakeholders.
- Ability to unify divergent points of view, surface options and tradeoffs, and drive alignment without relying solely on direct authority.
Financial and Operational Acumen
- Experience managing portfolio budgets, capital and operating planning, investment prioritization, and value realization.
- Strong analytical orientation with the ability to use data to guide decisions, manage tradeoffs, and improve outcomes.
- Comfortable operating at both strategic and operational levels simultaneously.
Operating Model and Organizational Design
- Strong capability in operating model design, organizational effectiveness, and stakeholder orchestration.
- Experience standing up new organizational entities, AI centers of excellence, or capability organizations in enterprise environments.
- Demonstrated ability to sustain momentum through ambiguity, competing priorities, and enterprise complexity.
Preferred Additional Experience
- 15+ years of leadership experience spanning enterprise transformation, program leadership, technology strategy, or engineering and data operations.
- Experience leading large-scale GCP, data, analytics, platform, or AI-related transformations — retail, consumer, or digital environments strongly preferred.
- Experience designing or standing up AI-native delivery organizations, innovation entities, or new operating model structures.
- Familiarity with modern enterprise delivery and planning tools such as Jira, Confluence, Smartsheet, Clarity, Power BI, or equivalent platforms.
- Bachelor’s degree in a relevant discipline required. Advanced degree, GCP certification, or program management certification advantageous.
Benefits at Gap Inc.
- Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
- One of the most competitive Paid Time Off plans in the industry.
- Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.
- Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.
- Employee stock purchase plan.
- Medical, dental, vision and life insurance.*
- See more of the benefits we offer.
For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
Retail Job Roles in Texas
See all 37+ Retail Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Retail Jobs in TexasRetail Jobs in Texas: Frequently Asked Questions
Which retail companies in Texas sponsor H-1B1 Chile visas?
Large-format retailers and e-commerce operators with significant Texas footprints are among the most active H-1B1 Chile sponsors in retail. Companies such as Walmart, Target, Amazon, and Home Depot have filed Labor Condition Applications for specialty occupation roles in Texas. Department store chains, luxury retailers, and retail technology divisions of national brands also appear in DOL disclosure data for H-1B1 Chile filings.
Which Texas cities have the most retail H-1B1 Chile sponsorship jobs?
Dallas-Fort Worth leads Texas for retail H-1B1 visa Chile sponsorship activity, driven by corporate headquarters, regional offices, and major distribution centers. Houston follows closely given its size and retail density. Austin has grown significantly as retail technology and e-commerce companies expand there. San Antonio also sees sponsorship activity from national chains with large store networks across the metro area.
What retail roles typically qualify for H-1B1 Chile sponsorship in Texas?
H-1B1 Chile sponsorship in retail applies to specialty occupation positions requiring at least a bachelor's degree in a directly related field. Qualifying roles commonly include merchandise planning analysts, retail data scientists, supply chain analysts, e-commerce product managers, buyer and category management specialists, and retail technology engineers. General sales associate or store management roles without a specific degree requirement typically do not qualify under the specialty occupation standard.
How do I find retail H-1B1 Chile sponsorship jobs in Texas?
Migrate Mate is built specifically for this search. You can filter by visa type, including H-1B1 Chile, by industry such as retail, and by Texas as your target state. Migrate Mate surfaces employers with verified DOL Labor Condition Application filing histories, so you can see which retail companies have actively sponsored H-1B1 Chile positions rather than relying on employers who may be unfamiliar with the visa category.
Are there Texas-specific considerations for H-1B1 Chile retail sponsorship?
Texas has no state income tax, which affects how employers structure compensation packages, but it does not change federal H-1B1 Chile prevailing wage requirements. Texas's large retail market and concentration of distribution infrastructure mean more employers are experienced with specialty occupation sponsorship than in smaller states. However, roles must still meet the specialty occupation standard regardless of Texas labor market conditions, and employers must file a certified Labor Condition Application with DOL before the visa application proceeds.
What is the prevailing wage for H-1B1 Chile retail jobs in Texas?
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.