STEM OPT Data Strategy Lead Jobs
Data Strategy Lead roles sit at the intersection of analytics, business intelligence, and organizational decision-making, making them a strong fit for STEM OPT graduates in computer science, statistics, or information systems. Your 24-month STEM OPT extension applies here, provided your employer is enrolled in E-Verify and your role aligns with your degree's CIP code.
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Get Access To All JobsINTRODUCTION
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.
ROLE AND RESPONSIBILITIES
You will:
- Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
- Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
- Build out pipeline infrastructure to ensure quality and efficiency
- Train, coach, and manage dynamic and global teams
- Build analytics to make data-driven decisions
- Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
- Give regular progress updates to Scale’s executive team
BASIC QUALIFICATIONS
You will have:
- A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes
- 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
- Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
- Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to:
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $151,200—$189,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.
ROLE AND RESPONSIBILITIES
You will:
- Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
- Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
- Build out pipeline infrastructure to ensure quality and efficiency
- Train, coach, and manage dynamic and global teams
- Build analytics to make data-driven decisions
- Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
- Give regular progress updates to Scale’s executive team
BASIC QUALIFICATIONS
You will have:
- A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes
- 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
- Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
- Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to:
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $151,200—$189,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data Strategy Lead
Verify your CIP code maps correctly
Data Strategy Lead roles can fall under multiple CIP codes depending on your degree. Confirm your program's CIP code qualifies as STEM using the official STEM Designated Degree Program list published by the Department of Homeland Security before accepting an offer.
Check employer E-Verify status early
Your STEM OPT extension is invalid without an E-Verify-enrolled employer. Ask hiring managers directly during interviews, or search the E-Verify employer search tool before investing time in the offer negotiation stage.
Target companies with existing data leadership structures
Companies that already employ directors of analytics or chief data officers have established reporting lines for a Data Strategy Lead. That organizational maturity signals they understand what the role does and can complete your I-983 training plan accurately.
Draft your I-983 training plan around measurable outcomes
Your DSO needs a concrete training plan tied to your STEM degree. For Data Strategy Lead roles, frame learning goals around data governance frameworks, model deployment cycles, or cross-functional analytics programs rather than vague leadership development language.
Use Migrate Mate to filter for E-Verify employers
Search Data Strategy Lead openings on Migrate Mate, which surfaces roles at E-Verify-enrolled companies so you're not manually screening out ineligible employers during an already competitive offer process.
Benchmark your offer against OFLC Wage Search data
Before signing, look up the prevailing wage for your job title and location using OFLC Wage Search. If your employer later files for H-1B sponsorship, your offered salary must meet or exceed the DOL prevailing wage for that SOC code.
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Find Data Strategy Lead JobsFrequently Asked Questions
Does a Data Strategy Lead role qualify for the STEM OPT extension?
It depends on your degree, not just the job title. Data Strategy Lead roles typically involve statistical modeling, data architecture, or systems analysis, which align with STEM CIP codes in computer science, information systems, or applied mathematics. Your DSO verifies the match between your degree's CIP code and the role's core functions. If the connection is clear and your employer is E-Verify enrolled, the extension applies.
What should my I-983 training plan include for a Data Strategy Lead position?
Your I-983 must describe how the job provides practical training directly related to your STEM degree. For a Data Strategy Lead, that means documenting specific learning goals tied to data governance, predictive analytics, or enterprise data infrastructure, not generic management skills. Both you and your employer sign the plan, and your DSO must approve it before your STEM OPT extension starts. USCIS may audit the plan, so specificity matters.
How do I confirm my employer is enrolled in E-Verify before accepting an offer?
Ask the hiring manager or HR contact directly whether the company is enrolled in E-Verify. You can also search the E-Verify employer search portal using the company's name or location. Enrollment in E-Verify is a hard requirement for STEM OPT, and your extension will be invalid if your employer is not enrolled at the time you begin work. Don't wait until after signing an offer to verify this.
What happens to my STEM OPT if my employer hasn't filed for H-1B sponsorship before my extension ends?
If your employer files an H-1B petition for you before your STEM OPT expires and USCIS selects you in the lottery, cap-gap protection extends your work authorization through September 30 of that year. If you're not selected or your employer doesn't file, your work authorization ends when your STEM OPT expires. Planning your H-1B timeline 12 to 18 months before your extension ends gives you the most options.
Where can I find Data Strategy Lead jobs at E-Verify employers?
Migrate Mate lets you search Data Strategy Lead roles filtered for E-Verify-enrolled employers, which removes the most time-consuming manual step in your job search. Because STEM OPT requires E-Verify enrollment as a baseline condition, starting your search on a platform that pre-screens for this requirement lets you focus on evaluating roles rather than vetting employer eligibility from scratch.
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