Director Of Data Analytics Jobs in USA with Visa Sponsorship
Director of Data Analytics roles attract H-1B visa, 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 JobsINTRODUCTION
A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states.
We are seeking a strategic and hands-on Director of Data & Analytics Engineering to lead our data engineering and analytics engineering functions. This leader will oversee the development of scalable data platforms, pipelines, and models that empower teams, applications, and agents across Amplify to make data-informed decisions and tell compelling stories with data.
In this role, you will partner closely with data science, AI, product, and engineering teams to deliver reliable, high-quality data solutions while building and developing a high-performing team of managers and engineers.
ESSENTIAL RESPONSIBILITIES:
This is a key leadership role responsible for developing and supporting engineering managers within the data department, overseeing both the data platform and analytics engineering functions.
- Leadership: Own and drive technical vision, architectural strategy, and cross-functional alignment across data and analytics engineering, while developing and empowering engineering managers to build, grow, and retain high-performing teams.
- Technical Leadership & Guidance: Guide and oversee architectural decisions to innovative architectures and tech stack decisions while fostering strong technical practices across data modeling, ingestion, ELT pipelines, MLOps, and platform operations.
- Strategy: Develop and implement data engineering and analytics engineering strategy in collaboration with the VP of Data and peer directors.
- People Management: Provide leadership, career development, coaching, mentoring, and building a strong leadership bench within the department.
- Delivery: Be accountable for the successful delivery of annual OKRs and ensuring consistent execution against roadmap commitments across teams, leveraging best practices in estimation, requirements analysis, and balancing trade-offs.
- Communication and Collaboration: Work closely with business, product, data science, and engineering teams to ensure the data department develops tools that solve the most critical analytics challenges.
- Vendor & Cost Management: Evaluate build vs. buy decisions for tooling, manage vendor relationships, and optimize cloud infrastructure costs.
- Agentic Tooling: Champion the adoption and responsible use of agentic coding and analytics tools (e.g. Claude Code, Snowflake Cortex), establishing best practices for AI-assisted development and AI-augmented analytics workflows.
REQUIRED QUALIFICATIONS:
- Bachelor’s degree in a relevant field (e.g. computer science, data science, engineering, mathematics) or equivalent experience
- 10+ years of experience in data engineering, analytics engineering, or related fields, including hands-on experience with modern data stack technologies (e.g., dbt, Snowflake, SQL, Python, Terraform)
- 5+ years of people management experience, including 3+ years managing managers.
- Proven ability to develop multi-year strategy and facilitate goal-setting processes (e.g. annual OKRs, product roadmaps) across multiple teams
- Experience with ETL/ELT pipeline design, data modeling, data platform architecture, and BI tools such as Looker and Tableau
- Experience with data observability and reliability tools (e.g. Monte Carlo, dbt tests, Great Expectations) to proactively monitor pipeline health and data quality.
- Familiarity with agentic coding tools (e.g. Claude Code, Snowflake Cortex), and AI-assisted development workflows, and a demonstrated ability to drive adoption of emerging technologies
- Excellent communication and interpersonal skills, especially with non-technical partners
PREFERRED QUALIFICATIONS:
- Experience with metadata management tools such as Atlan
- Understanding of data modeling paradigms within a lakehouse environment and the judgment to apply the right architecture for the problem, from dimensional modeling (Kimball) and one-big-table (OBT)
- Familiarity with emerging agentic analytics tools such as natural language querying (NLQ), text-to-analytics
- Demonstrated curiosity and continuous learning through open-source contributions, personal projects, or ongoing education
- Experience in education or ed-tech
WHAT WE OFFER:
Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, stock options, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $220,000 - $250,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.
Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.
If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.
Amplify is an E-Verify participant.
INTRODUCTION
A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states.
We are seeking a strategic and hands-on Director of Data & Analytics Engineering to lead our data engineering and analytics engineering functions. This leader will oversee the development of scalable data platforms, pipelines, and models that empower teams, applications, and agents across Amplify to make data-informed decisions and tell compelling stories with data.
In this role, you will partner closely with data science, AI, product, and engineering teams to deliver reliable, high-quality data solutions while building and developing a high-performing team of managers and engineers.
ESSENTIAL RESPONSIBILITIES:
This is a key leadership role responsible for developing and supporting engineering managers within the data department, overseeing both the data platform and analytics engineering functions.
- Leadership: Own and drive technical vision, architectural strategy, and cross-functional alignment across data and analytics engineering, while developing and empowering engineering managers to build, grow, and retain high-performing teams.
- Technical Leadership & Guidance: Guide and oversee architectural decisions to innovative architectures and tech stack decisions while fostering strong technical practices across data modeling, ingestion, ELT pipelines, MLOps, and platform operations.
- Strategy: Develop and implement data engineering and analytics engineering strategy in collaboration with the VP of Data and peer directors.
- People Management: Provide leadership, career development, coaching, mentoring, and building a strong leadership bench within the department.
- Delivery: Be accountable for the successful delivery of annual OKRs and ensuring consistent execution against roadmap commitments across teams, leveraging best practices in estimation, requirements analysis, and balancing trade-offs.
- Communication and Collaboration: Work closely with business, product, data science, and engineering teams to ensure the data department develops tools that solve the most critical analytics challenges.
- Vendor & Cost Management: Evaluate build vs. buy decisions for tooling, manage vendor relationships, and optimize cloud infrastructure costs.
- Agentic Tooling: Champion the adoption and responsible use of agentic coding and analytics tools (e.g. Claude Code, Snowflake Cortex), establishing best practices for AI-assisted development and AI-augmented analytics workflows.
REQUIRED QUALIFICATIONS:
- Bachelor’s degree in a relevant field (e.g. computer science, data science, engineering, mathematics) or equivalent experience
- 10+ years of experience in data engineering, analytics engineering, or related fields, including hands-on experience with modern data stack technologies (e.g., dbt, Snowflake, SQL, Python, Terraform)
- 5+ years of people management experience, including 3+ years managing managers.
- Proven ability to develop multi-year strategy and facilitate goal-setting processes (e.g. annual OKRs, product roadmaps) across multiple teams
- Experience with ETL/ELT pipeline design, data modeling, data platform architecture, and BI tools such as Looker and Tableau
- Experience with data observability and reliability tools (e.g. Monte Carlo, dbt tests, Great Expectations) to proactively monitor pipeline health and data quality.
- Familiarity with agentic coding tools (e.g. Claude Code, Snowflake Cortex), and AI-assisted development workflows, and a demonstrated ability to drive adoption of emerging technologies
- Excellent communication and interpersonal skills, especially with non-technical partners
PREFERRED QUALIFICATIONS:
- Experience with metadata management tools such as Atlan
- Understanding of data modeling paradigms within a lakehouse environment and the judgment to apply the right architecture for the problem, from dimensional modeling (Kimball) and one-big-table (OBT)
- Familiarity with emerging agentic analytics tools such as natural language querying (NLQ), text-to-analytics
- Demonstrated curiosity and continuous learning through open-source contributions, personal projects, or ongoing education
- Experience in education or ed-tech
WHAT WE OFFER:
Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, stock options, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $220,000 - $250,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.
Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.
If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.
Amplify is an E-Verify participant.
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Get Access To All JobsTips for Finding Director Of Data Analytics Jobs
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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Find Director Of Data Analytics 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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