Director Of Data Analytics Jobs in USA with Visa Sponsorship
Director of Data Analytics roles attract H-1B, O-1, and EB-1/EB-2 sponsorship at scale. Employers regularly file LCAs for this title under SOC 15-2051, and the specialty occupation standard is straightforward to meet with a qualifying graduate degree. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsWHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
Overview
We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement. This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices.
Responsibilities
- Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy.
- Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics.
- Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence.
- Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action.
- Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership.
- Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility.
- Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact.
- Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level.
QUALIFICATIONS
- A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems.
- Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance.
- Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis.
- Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value.
- Adept at building teams, culture, and operating models that scale across functions and geographies.
- Pragmatic, impact-driven, and allergic to vanity metrics.
- 12+ years in analytics, data science, or AI, with significant leadership experience.
- Strong foundation in statistics, machine learning, and experimentation.
- Experience in retail, e-commerce, consumer products, or digital platforms.
- Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks.
- Proven track record of driving measurable outcomes through data and AI initiatives.
- Exposure to generative AI at scale and AI-enabled product development.
- Prior ownership of company-wide analytics standards or AI governance.
The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
For CA residents, Job Applicant Privacy Policy HERE.
WHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
Overview
We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement. This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices.
Responsibilities
- Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy.
- Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics.
- Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence.
- Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action.
- Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership.
- Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility.
- Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact.
- Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level.
QUALIFICATIONS
- A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems.
- Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance.
- Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis.
- Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value.
- Adept at building teams, culture, and operating models that scale across functions and geographies.
- Pragmatic, impact-driven, and allergic to vanity metrics.
- 12+ years in analytics, data science, or AI, with significant leadership experience.
- Strong foundation in statistics, machine learning, and experimentation.
- Experience in retail, e-commerce, consumer products, or digital platforms.
- Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks.
- Proven track record of driving measurable outcomes through data and AI initiatives.
- Exposure to generative AI at scale and AI-enabled product development.
- Prior ownership of company-wide analytics standards or AI governance.
The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
For CA residents, Job Applicant Privacy Policy HERE.
How to Get Visa Sponsorship in Director Of Data Analytics
Target companies with LCA filing history
Employers who have previously filed Labor Condition Applications for data analytics directors are far more likely to sponsor again. DOL disclosure data shows which companies have sponsored this exact title, saving you time targeting dead ends.
Lead with your graduate degree upfront
H-1B specialty occupation approval for this role is strongest with a master's or PhD in statistics, computer science, or a quantitative field. Listing your degree prominently on your resume signals immediate eligibility and reduces employer hesitation around sponsorship risk.
Position yourself as an O-1 candidate if you qualify
Directors with published research, industry awards, or media coverage may qualify for O-1A status, which has no lottery and no annual cap. Frame your career narrative around measurable impact and recognition rather than job duties alone.
Address sponsorship directly in your cover letter
Employers often hesitate because they assume sponsorship is complicated. A brief, confident sentence explaining the process, typical timeline, and that H-1B transfer costs are modest can remove that objection before your application reaches a recruiter's desk.
Focus on large enterprises and mature tech companies
Fortune 500 companies, large financial institutions, and established technology firms have dedicated immigration counsel and routine sponsorship workflows. They sponsor Director of Data Analytics roles regularly and are less deterred by the process than smaller organizations.
Pursue EB-2 NIW if you have a research or policy angle
Directors whose work has national implications, such as healthcare analytics, public sector data infrastructure, or AI policy, may self-petition under EB-2 National Interest Waiver without employer sponsorship, offering a parallel green card path alongside your job search.
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Get Access To All JobsFrequently Asked Questions
Is Director of Data Analytics a qualifying specialty occupation for H-1B?
Yes. The role consistently qualifies as a specialty occupation under H-1B because it normally requires at least a bachelor's degree in a specific technical field such as statistics, computer science, or applied mathematics. USCIS has approved this title at high rates when petitions document the theoretical and practical application of that degree. A generic business or liberal arts background without quantitative coursework creates risk, so degree alignment matters.
What degree do I need for an employer to sponsor me in this role?
Most employers require a master's degree in data science, statistics, computer science, or a closely related quantitative discipline for director-level roles. A bachelor's in one of those fields combined with progressive experience can work, but graduate credentials significantly strengthen the H-1B petition and reduce the risk of an USCIS Request for Evidence. Some employers also accept equivalent experience under the three-for-one substitution rule.
How do I find Director of Data Analytics jobs that offer visa sponsorship?
Migrate Mate filters job listings specifically for roles offering visa sponsorship, so you're not wasting time applying to companies that won't consider international candidates. The platform surfaces employers with active LCA filings and sponsorship history for this title, which is a strong signal that the hiring team is already equipped to handle the process.
Can I transfer my H-1B to a new employer for this role without losing status?
Yes. H-1B portability lets you start working for a new employer as soon as they file a transfer petition, as long as you're maintaining valid status and your prior petition was approved. For Director of Data Analytics roles, the new employer files a fresh I-129 with an updated LCA reflecting the new position. You don't need to restart the cap count or re-enter the lottery.
Does the H-1B lottery affect my chances of getting sponsored for this role?
If you're currently outside the U.S. and need a new H-1B, yes, the annual lottery applies and selection isn't guaranteed. However, if you're already in H-1B status, a transfer to a new employer is cap-exempt. Candidates on F-1 OPT or STEM OPT can work while their sponsoring employer enters them in the next lottery. O-1A is an alternative that bypasses the lottery entirely for candidates with documented recognition.
What is the prevailing wage requirement for sponsored Director Of Data Analytics jobs?
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.
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