AI Data Analyst Visa Sponsorship Jobs in Virginia
AI data analyst jobs in Virginia attract strong visa sponsorship from federal contractors, defense tech firms, and cloud companies concentrated in Northern Virginia and the Washington D.C. corridor. Employers like Booz Allen Hamilton, Leidos, Palantir, and Amazon Web Services regularly file for specialty occupation workers in this role across McLean, Arlington, and Herndon.
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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.
AI Data Analyst Job Roles in Virginia
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Search AI Data Analyst Jobs in VirginiaAI Data Analyst Jobs in Virginia: Frequently Asked Questions
Which visa types realistically cover ai data analyst roles in Virginia?
AI data analyst roles qualify as specialty occupations requiring a bachelor's degree in computer science, data science, statistics, or a related field, making H-1B visa the primary path. Australian nationals can pursue the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa. For longer-term residence, EB-2 and EB-3 employment-based green cards are common employer-sponsored options. TN visa does not cover this role.
Which companies sponsor visas for ai data analysts in Virginia?
Northern Virginia's federal contracting and technology sectors produce consistent sponsorship activity. Booz Allen Hamilton, Leidos, SAIC, Palantir, and Amazon Web Services are among the most active filers for data and AI roles in the state. Capital One, headquartered in McLean, also sponsors data analysts regularly. Many of these employers have established immigration support programs given Virginia's heavy reliance on international STEM talent.
Which cities in Virginia have the most ai data analyst sponsorship jobs?
Northern Virginia dominates, with McLean, Arlington, Herndon, and Reston accounting for the majority of sponsorship filings for AI and data roles. This corridor benefits from proximity to federal agencies and the dense presence of defense contractors and cloud infrastructure companies. Richmond is a secondary market, with Capital One and state government technology offices generating additional demand for data analysts.
How to find ai data analyst visa sponsorship jobs in Virginia?
Migrate Mate lists AI data analyst roles in Virginia filtered to employers with verified visa sponsorship history, so you can focus on companies that have already filed for this type of role rather than guessing. Northern Virginia's federal contractor ecosystem and cloud sector make it one of the more active sponsorship markets for AI and data talent in the country. Search Migrate Mate by role and state to see current openings.
Are there any Virginia-specific considerations for ai data analysts seeking visa sponsorship?
Virginia's large federal contracting sector means many AI data analyst roles require security clearances, which can complicate sponsorship for international candidates still on nonimmigrant status. Employers like Booz Allen Hamilton and Leidos do sponsor H-1B workers, but cleared positions are typically restricted. University programs at Virginia Tech, George Mason, and UVA feed strong local pipelines of data science graduates, making competition for sponsored roles particularly active in this state.
What is the prevailing wage for sponsored ai data analyst jobs in Virginia?
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.