H-1B Visa Director Of Data Analytics Jobs
Director of Data Analytics roles qualify as H-1B specialty occupations because they require a bachelor's degree or higher in statistics, computer science, or a related field. Large tech, finance, and healthcare employers file H-1B petitions for this title regularly, and the role's SOC code maps cleanly to prevailing wage Level III and IV determinations.
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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 H-1B Visa Sponsorship in Director Of Data Analytics
Verify your degree maps to the role
USCIS requires your degree field to directly relate to data analytics leadership. A degree in statistics, information systems, or applied mathematics strengthens the specialty occupation argument more than a general business degree paired with work experience alone.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your specific SOC code and metro area before accepting an offer. Director-level data roles often land at wage Level III or IV, and accepting a below-prevailing offer means your employer's LCA will be flagged during DOL review.
Target employers with analytics leadership pipelines
Search Migrate Mate for companies with repeated H-1B LCA filings under data analytics job titles. Employers who've sponsored this role before have established internal processes, reducing the risk of delays caused by HR unfamiliarity with the petition workflow.
Request cap-exempt filing if your employer qualifies
Universities, affiliated nonprofits, and certain research institutions are cap-exempt, meaning your petition bypasses the annual lottery entirely. If you're considering academia-adjacent analytics roles, confirm the employer's cap-exempt status with USCIS before counting on lottery selection.
Document your managerial scope for the I-129
For Director-level petitions, your employer's I-129 support letter should detail the number of direct reports, budget authority, and cross-functional influence. Thin organizational evidence is a common RFE trigger for analytics leadership roles where the title can mask individual contributor work.
File for premium processing if your start date is firm
Standard H-1B processing can run several months. Premium processing guarantees a USCIS decision within 15 business days for an additional fee. For Director roles with defined onboarding timelines, this removes the risk of a delayed petition disrupting the hiring plan.
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Find Director Of Data Analytics JobsDirector Of Data Analytics H-1B Visa: Frequently Asked Questions
Does a Director of Data Analytics role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Director of Data Analytics as a specialty occupation because the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, or information systems. The O*NET profile for this occupation confirms the degree requirement, which is the foundation of the specialty occupation determination.
How do I find employers who sponsor H-1B visas for this role?
Use Migrate Mate to filter for companies with verified H-1B LCA filing history under data analytics and analytics leadership job titles. DOL LCA disclosure data shows which employers have sponsored this specific role, so you can prioritize outreach to companies that already have an established sponsorship process rather than educating hiring managers from scratch.
What prevailing wage level applies to a Director of Data Analytics?
Director of Data Analytics positions typically fall at wage Level III or Level IV under DOL prevailing wage determinations, which correspond to experienced and fully competent workers in that occupation and geography. Use the OFLC Wage Search to look up the exact prevailing wage for your SOC code and metro area before evaluating any offer.
Can my H-1B petition be denied even if the employer has sponsored others before?
Yes. USCIS evaluates each petition individually. For Director-level analytics roles, RFEs often target whether the position genuinely requires a specific degree rather than broad experience. Your employer's support letter needs to clearly articulate the specialized theoretical knowledge required, not just list technical tools or general leadership duties.
What happens to my H-1B status if I'm laid off from a Director of Data Analytics position?
You have a 60-day grace period from your last day of employment to find a new H-1B employer, change to another visa status, or depart the U.S. During this window, a new employer can file an H-1B transfer petition on your behalf. The 60-day period applies once per authorized validity period, per USCIS rules.
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