STEM OPT AI Data Engineer Jobs
AI Data Engineer roles in machine learning infrastructure, data pipelines, and model deployment qualify for STEM OPT's 24-month extension if your degree is in computer science, data science, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your start date.
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Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
- Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
- Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
- Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
- Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
- Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
- Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
- Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
- You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
- You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
- You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
- You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
- You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
- Advanced degree such as an MBA or related graduate-level qualification.
- Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
- Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
- Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
- Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 days per week on campus.
- No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
- Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
- Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
- Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
- Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
- Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
- Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
- Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
- You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
- You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
- You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
- You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
- You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
- Advanced degree such as an MBA or related graduate-level qualification.
- Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
- Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
- Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
- Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
- This role is based in South San Francisco and offers a hybrid schedule working 3 days per week on campus.
- No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
See all 554+ STEM OPT AI Data Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Data Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field on USCIS's list. Computer science, data science, and information systems CIP codes all qualify, but applied mathematics or statistics degrees sometimes require closer review by your DSO.
Confirm E-Verify enrollment before accepting offers
Search the E-Verify employer search tool by company name before signing anything. Startups and smaller data teams frequently lack E-Verify enrollment, which disqualifies them as STEM OPT employers regardless of how well the role fits your training plan.
Build your I-983 training plan around AI pipeline work
Map your job duties to specific learning objectives in the I-983: model training workflows, data orchestration tools, and MLOps practices all count as structured training activities. A vague plan citing only 'data engineering tasks' increases the risk of DSO rejection or an ICE audit.
Target employers with LCA filing history in AI roles
Use Migrate Mate to filter AI Data Engineer roles by employers who have filed Labor Condition Applications for H-1B visa workers in similar SOC codes. LCA history signals an existing immigration compliance infrastructure, which matters for STEM OPT employers managing reporting obligations.
Negotiate your offer letter to reflect the I-983 structure
Ask HR to specify your reporting structure, supervision arrangement, and core technical responsibilities in writing before onboarding. ICE's STEM OPT regulations require that the employer mentor you in a formal capacity, and a vague offer letter makes the required I-983 supervisor attestation harder to complete accurately.
Time your OPT application to protect cap-gap eligibility
If you plan to transition to H-1B, file your USCIS I-765 renewal at least 90 days before your initial OPT EAD expires. A timely H-1B registration combined with an in-time OPT filing preserves cap-gap authorization through October 1 if you're selected.
Frequently Asked Questions
Does an AI Data Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in an approved STEM field such as computer science, data science, electrical engineering, or applied mathematics, and the role involves substantive technical work in areas like data pipeline development, model deployment, or ML infrastructure. Your DSO confirms eligibility by matching your degree's CIP code to the STEM Designated Degree Program List maintained by USCIS before authorizing the extension.
How do I check whether an employer is enrolled in E-Verify for STEM OPT?
Use the E-Verify employer search tool, which is publicly accessible and searchable by company name and location. Enrollment status can change, so search close to your offer stage rather than at initial application. If a company recruits STEM OPT students but doesn't appear in E-Verify, they must enroll before your extension can be authorized, which adds time to the onboarding process.
What should an AI Data Engineer include in the I-983 training plan?
Your I-983 must describe specific learning goals tied to your job duties, the supervision and mentorship structure, and how the work connects to your STEM degree. For AI Data Engineer roles, this typically includes training objectives around data architecture, feature engineering, model monitoring, and workflow automation tools. Generic descriptions without measurable goals are the most common reason DSOs request revisions before signing.
How do I find AI Data Engineer roles at employers already set up for STEM OPT?
Migrate Mate filters AI Data Engineer listings by employers with verified E-Verify enrollment and LCA filing history in relevant SOC codes, so you're not wasting applications on companies that can't legally hire STEM OPT students. Filtering by this criteria early shortens the offer-to-authorization timeline significantly compared to sorting it out after receiving an offer.
Does the STEM OPT cap-gap rule cover me if I'm working as an AI Data Engineer?
Yes, if your employer files an H-1B petition on your behalf before your OPT EAD expires and you filed your I-765 on time, cap-gap authorization extends your work authorization through September 30 of the fiscal year in which you were selected. This applies regardless of your specific role title, as long as your underlying STEM OPT status is valid and the petition was filed while your OPT period was still active.