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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Get Access To All JobsINTRODUCTION
Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™.
Global Reach with a Local Touch
- 140+ years serving healthcare
- Over 14,000 teammates worldwide
- Serving healthcare partners in 80 countries
- Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland
- 40+ distribution centers
- Portfolio of 300 proprietary and branded product offerings
- 1,000 branded medical product suppliers
- 4,000 healthcare partners served
Benefits
- Comprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates.
- Educational Assistance - We offer educational assistance to all eligible teammates enrolled in an approved, accredited collegiate program.
- Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability coverage.
- Voluntary Supplemental Programs – We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.
- Support for your Growing Family – Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.
- Health Savings Account (HSA) and 401(k) - We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.
- Paid Leave - In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, and additional types of leave – including parental leave.
- Well-Being – Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs – all at no cost to you.
- The anticipated salary range for this position is $130,000 USD Annual with 15% bonus potential. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.
ROLE AND RESPONSIBILITIES
The Products Data and AI Lead is the trusted-data and insight engine of the product organization and serves as the owner of product master data “lighthouse” attributes and of the calculation methodology behind the metrics that underpin our product strategy.
The role will lead or co-lead Data Governance initiatives to establish a solid data products foundation that can drive intelligence and AI capabilities through cross functional data dependency alignment.
Establish a single, governed source of product master data including a master hierarchy, attributes, contract data, as core inputs while fixing the methodology behind core product metrics (product profitability & profitability drivers, end-market penetration, product cross referencing, pricing);
Translate that foundation into a redefined set of Product KPIs aligned to new ELT strategy and value proposition work that redirect product leadership toward where value actually is, rather than reporting the activity metrics of the past. Creation of a “fact pack” that supports product strategy. The analyses that compose the fact pack should connect to the true north KPIs.
This position will work upstream the ops-data analytics team, reporting to the Senior Director of Supply Chain Strategy and AI Enablement, and partnering closely with the Product GMs to ensure all product data initiatives are measurable and traceable to North Star EBITDA and drive a change from backward-looking reporting to forward-looking transparency and accountability. The scope of this role is expected to expand to the product master data lighthouse as the foundation matures and has a path to leading the full data team if candidate performs well.
- Trusted product master (the product lighthouse): a hierarchy and attributes for the Global Products (First Party), OEM, and third-party. This would enable product cross-referencing, correct costing and profitability, and rapid sourcing events (among other activities)
- A connection through a common UID to financial Hierarchy and cost allocation systems (e.g., SAP), enabling all business functions to create analyses and run their operations; note that the hierarchy itself should be consistent – it’s okay that different functions utilize different attributes to run their domains
- Fixed, codified metric methodology that serves as one trusted source of truth: a documented, defensible calculation methodology for product profitability, product penetration / market opportunities, cross-reference library
- Initiative tracking linked to EBITDA: a live tracking model where every transformation initiative is linked to its EBITDA impact (calculation owned by Finance) and rolls up to the North Star
Owns:
- Product master data methodology and governance: hierarchy logic, attributes – and how that interfaces with finance, operations, commercial, and sourcing
- Calculation, methodology, and source of truth for derived product metrics (share-of-wallet, penetration, potential/addressable value)
- Design of Product KPIs including what is measured, how it is defined, and how it drives focus and accountability
- Initiative tracking model: tracking commercial transformation initiatives and linking each to its EBITDA impact
Recommends:
- Analyses and methodologies to systematically identify growth, margin-up, and portfolio optimization opportunities
- Opportunities to utilize AI to streamline data tracing and enable quicker insights, inclusive of predictive analytics
- Product data governance, especially for sunsetting SKUs and launching new products
Informs:
- Product Margin Up strategy, in support of Project Rocketman
- Product Master Data Management, in support of Project Astra
- Cross-functional and Finance leadership on data-quality gaps, unowned stewardship, and methodology changes that affect reported numbers
Internal:
- Product Quarterly Reviews and Monthly Reviews — hands trusted metrics, segmentation inputs, and methodology into governance reviews, with a defined methodology and so action is executed
- Finance: this role links tracked initiatives to their financial impact and aligns the North Star bridge
- IT / Master Data Management: the enterprise lighthouse initiative, MDM platform, and identifier crosswalks
BASIC QUALIFICATIONS
- Advanced degree in a quantitative discipline (statistics, data science, economics, engineering, or similar) or equivalent experience
- 3+ years in commercial/sales analytics, data science, or master data management — distribution, healthcare, or med-surg strongly preferred
- Working command of master data management, with a clear grasp of the difference between master, reference, and derived data (share-of-wallet and penetration are computed methodologies, not tables)
- Demonstrated ability to define a calculation methodology and defend it to both Finance and commercial leaders
- Strong SQL and analytics tooling; fluency with the modern data stack; PowerBI for last-mile reporting
- The judgment to design KPIs that change behavior rather than simply report it — technical depth paired with commercial acumen
- Ability to lead and influence upstream of an analyst team without direct authority, across commercial, ops-data, IT, and Finance
- Understanding of healthcare procurement, GPO/IDN dynamics, and med-surg distribution economics preferred; familiarity with third-party healthcare market data (e.g., Definitive Healthcare) a plus
LOCATION
Remote is possible with ~25% travel to Richmond
If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.
Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.
INTRODUCTION
Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™.
Global Reach with a Local Touch
- 140+ years serving healthcare
- Over 14,000 teammates worldwide
- Serving healthcare partners in 80 countries
- Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland
- 40+ distribution centers
- Portfolio of 300 proprietary and branded product offerings
- 1,000 branded medical product suppliers
- 4,000 healthcare partners served
Benefits
- Comprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates.
- Educational Assistance - We offer educational assistance to all eligible teammates enrolled in an approved, accredited collegiate program.
- Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability coverage.
- Voluntary Supplemental Programs – We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.
- Support for your Growing Family – Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.
- Health Savings Account (HSA) and 401(k) - We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.
- Paid Leave - In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, and additional types of leave – including parental leave.
- Well-Being – Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs – all at no cost to you.
- The anticipated salary range for this position is $130,000 USD Annual with 15% bonus potential. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.
ROLE AND RESPONSIBILITIES
The Products Data and AI Lead is the trusted-data and insight engine of the product organization and serves as the owner of product master data “lighthouse” attributes and of the calculation methodology behind the metrics that underpin our product strategy.
The role will lead or co-lead Data Governance initiatives to establish a solid data products foundation that can drive intelligence and AI capabilities through cross functional data dependency alignment.
Establish a single, governed source of product master data including a master hierarchy, attributes, contract data, as core inputs while fixing the methodology behind core product metrics (product profitability & profitability drivers, end-market penetration, product cross referencing, pricing);
Translate that foundation into a redefined set of Product KPIs aligned to new ELT strategy and value proposition work that redirect product leadership toward where value actually is, rather than reporting the activity metrics of the past. Creation of a “fact pack” that supports product strategy. The analyses that compose the fact pack should connect to the true north KPIs.
This position will work upstream the ops-data analytics team, reporting to the Senior Director of Supply Chain Strategy and AI Enablement, and partnering closely with the Product GMs to ensure all product data initiatives are measurable and traceable to North Star EBITDA and drive a change from backward-looking reporting to forward-looking transparency and accountability. The scope of this role is expected to expand to the product master data lighthouse as the foundation matures and has a path to leading the full data team if candidate performs well.
- Trusted product master (the product lighthouse): a hierarchy and attributes for the Global Products (First Party), OEM, and third-party. This would enable product cross-referencing, correct costing and profitability, and rapid sourcing events (among other activities)
- A connection through a common UID to financial Hierarchy and cost allocation systems (e.g., SAP), enabling all business functions to create analyses and run their operations; note that the hierarchy itself should be consistent – it’s okay that different functions utilize different attributes to run their domains
- Fixed, codified metric methodology that serves as one trusted source of truth: a documented, defensible calculation methodology for product profitability, product penetration / market opportunities, cross-reference library
- Initiative tracking linked to EBITDA: a live tracking model where every transformation initiative is linked to its EBITDA impact (calculation owned by Finance) and rolls up to the North Star
Owns:
- Product master data methodology and governance: hierarchy logic, attributes – and how that interfaces with finance, operations, commercial, and sourcing
- Calculation, methodology, and source of truth for derived product metrics (share-of-wallet, penetration, potential/addressable value)
- Design of Product KPIs including what is measured, how it is defined, and how it drives focus and accountability
- Initiative tracking model: tracking commercial transformation initiatives and linking each to its EBITDA impact
Recommends:
- Analyses and methodologies to systematically identify growth, margin-up, and portfolio optimization opportunities
- Opportunities to utilize AI to streamline data tracing and enable quicker insights, inclusive of predictive analytics
- Product data governance, especially for sunsetting SKUs and launching new products
Informs:
- Product Margin Up strategy, in support of Project Rocketman
- Product Master Data Management, in support of Project Astra
- Cross-functional and Finance leadership on data-quality gaps, unowned stewardship, and methodology changes that affect reported numbers
Internal:
- Product Quarterly Reviews and Monthly Reviews — hands trusted metrics, segmentation inputs, and methodology into governance reviews, with a defined methodology and so action is executed
- Finance: this role links tracked initiatives to their financial impact and aligns the North Star bridge
- IT / Master Data Management: the enterprise lighthouse initiative, MDM platform, and identifier crosswalks
BASIC QUALIFICATIONS
- Advanced degree in a quantitative discipline (statistics, data science, economics, engineering, or similar) or equivalent experience
- 3+ years in commercial/sales analytics, data science, or master data management — distribution, healthcare, or med-surg strongly preferred
- Working command of master data management, with a clear grasp of the difference between master, reference, and derived data (share-of-wallet and penetration are computed methodologies, not tables)
- Demonstrated ability to define a calculation methodology and defend it to both Finance and commercial leaders
- Strong SQL and analytics tooling; fluency with the modern data stack; PowerBI for last-mile reporting
- The judgment to design KPIs that change behavior rather than simply report it — technical depth paired with commercial acumen
- Ability to lead and influence upstream of an analyst team without direct authority, across commercial, ops-data, IT, and Finance
- Understanding of healthcare procurement, GPO/IDN dynamics, and med-surg distribution economics preferred; familiarity with third-party healthcare market data (e.g., Definitive Healthcare) a plus
LOCATION
Remote is possible with ~25% travel to Richmond
If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.
Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.
See all 410+ 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.