AI Data Analyst Visa Sponsorship Jobs in Ohio
AI data analyst jobs in Ohio draw sponsorship from employers across Columbus's growing tech sector, Cleveland's healthcare and finance industries, and Dayton's defense and aerospace ecosystem. Companies like Nationwide, KeyBank, and Battelle regularly seek candidates who combine machine learning expertise with analytical workflows, making Ohio a viable destination for internationally sponsored AI data analyst roles.
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Get Access To All JobsJob Summary:
We are looking for an AI Data Analyst experienced in Palantir Foundry, ontology modeling, data governance, and advanced SQL. The candidate will design, manage, and optimize ontology models while collaborating with business stakeholders, data engineers, product owners, and analytics teams to align business concepts with enterprise data governance standards.
Roles & Responsibilities:
Ontology Management:
- Design and maintain Foundry Ontology objects, links, actions, and business logic.
- Define semantic data models that accurately represent business processes and operational workflows.
- Establish ontology governance standards and best practices.
Data Governance & Quality:
- Ensure consistency, accuracy, and traceability of ontology objects.
- Monitor ontology health, lineage, and data quality metrics.
- Manage ontology versioning and change control processes.
Stakeholder Collaboration:
- Partner with business users to translate requirements into ontology models.
- Facilitate workshops to define entities, relationships, and business rules.
- Support the adoption of ontology-driven applications across business units.
Platform Administration:
- Configure Foundry Ontology Manager and related Foundry applications.
- Manage access controls, permissions, and stewardship workflows.
- Support deployment and continuous improvement initiatives.
Documentation & Training:
- Create ontology documentation, standards, and user guides.
- Train business users and technical teams on ontology concepts and usage.
- Maintain metadata and business glossary alignment.
Required Technical Skills:
Palantir Foundry:
- Strong experience with the Palantir Foundry platform.
- Ontology Manager configuration and administration.
- Foundry applications and operational workflows.
- Data lineage and metadata management.
- Workflow and Action configuration.
Data & Analytics:
- Advanced SQL
- Data Modeling
- Python (preferred)
Integration & Architecture:
- REST APIs
- JSON/XML
- Data Pipelines
Business Skills:
- Business Process Modeling
- Requirements Gathering
- Stakeholder Management
- Data Stewardship
- Change Management
- Problem Solving
- Analytical Thinking
Preferred Qualifications:
- Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related field.
- 2+ years of experience in Data Governance, Data Modeling, or Data Stewardship.
- 2+ years of experience with Palantir Foundry.
- Experience supporting ontology-driven operational applications.
- Knowledge of manufacturing, supply chain, engineering, or automotive domains is preferred.
Desired Certifications:
- Palantir Foundry Certification (preferred).
- DAMA CDMP (Certified Data Management Professional).
- Azure Data Engineer Associate.
- AWS Data Analytics Specialty.
Job Summary:
We are looking for an AI Data Analyst experienced in Palantir Foundry, ontology modeling, data governance, and advanced SQL. The candidate will design, manage, and optimize ontology models while collaborating with business stakeholders, data engineers, product owners, and analytics teams to align business concepts with enterprise data governance standards.
Roles & Responsibilities:
Ontology Management:
- Design and maintain Foundry Ontology objects, links, actions, and business logic.
- Define semantic data models that accurately represent business processes and operational workflows.
- Establish ontology governance standards and best practices.
Data Governance & Quality:
- Ensure consistency, accuracy, and traceability of ontology objects.
- Monitor ontology health, lineage, and data quality metrics.
- Manage ontology versioning and change control processes.
Stakeholder Collaboration:
- Partner with business users to translate requirements into ontology models.
- Facilitate workshops to define entities, relationships, and business rules.
- Support the adoption of ontology-driven applications across business units.
Platform Administration:
- Configure Foundry Ontology Manager and related Foundry applications.
- Manage access controls, permissions, and stewardship workflows.
- Support deployment and continuous improvement initiatives.
Documentation & Training:
- Create ontology documentation, standards, and user guides.
- Train business users and technical teams on ontology concepts and usage.
- Maintain metadata and business glossary alignment.
Required Technical Skills:
Palantir Foundry:
- Strong experience with the Palantir Foundry platform.
- Ontology Manager configuration and administration.
- Foundry applications and operational workflows.
- Data lineage and metadata management.
- Workflow and Action configuration.
Data & Analytics:
- Advanced SQL
- Data Modeling
- Python (preferred)
Integration & Architecture:
- REST APIs
- JSON/XML
- Data Pipelines
Business Skills:
- Business Process Modeling
- Requirements Gathering
- Stakeholder Management
- Data Stewardship
- Change Management
- Problem Solving
- Analytical Thinking
Preferred Qualifications:
- Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related field.
- 2+ years of experience in Data Governance, Data Modeling, or Data Stewardship.
- 2+ years of experience with Palantir Foundry.
- Experience supporting ontology-driven operational applications.
- Knowledge of manufacturing, supply chain, engineering, or automotive domains is preferred.
Desired Certifications:
- Palantir Foundry Certification (preferred).
- DAMA CDMP (Certified Data Management Professional).
- Azure Data Engineer Associate.
- AWS Data Analytics Specialty.
AI Data Analyst Job Roles in Ohio
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Search AI Data Analyst Jobs in OhioAI Data Analyst Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for AI data analysts?
Ohio employers with active visa sponsorship histories for data and AI roles include Nationwide Insurance and JPMorgan Chase in Columbus, KeyBank and Progressive Insurance in Cleveland, and Battelle Memorial Institute in Columbus. Tech-forward healthcare systems such as Cleveland Clinic and OhioHealth also sponsor analytical and AI-focused positions, particularly for candidates with machine learning or predictive modeling expertise.
Which visa types realistically apply to AI data analyst roles in Ohio?
AI data analyst roles qualify as specialty occupations because they require at least a bachelor's degree in a directly related field such as computer science, data science, or statistics. That makes the H-1B visa the most common path. Workers from Australia may qualify for the E-3 visa, and those from Chile or Singapore may qualify for the H-1B1 visa. F-1 students can use OPT, and those with a STEM-designated degree may extend authorization through STEM OPT. EB-2 and EB-3 green card categories are also viable for longer-term sponsorship.
Which cities in Ohio have the most AI data analyst sponsorship jobs?
Columbus leads Ohio for AI data analyst sponsorship activity, driven by its concentration of insurance, financial services, and technology employers alongside Ohio State University's research output. Cleveland follows, with demand from healthcare systems, banking, and manufacturing analytics. Cincinnati and Dayton also post sponsorship positions, particularly tied to defense contracting, aerospace research, and consumer goods companies with large analytics teams.
How to find ai data analyst visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for this search: it lists Ohio employers with verified visa sponsorship histories for AI and data analyst roles, so you can focus on companies already familiar with the sponsorship process. Filtering by city lets you target Columbus, Cleveland, or Cincinnati specifically. Because sponsorship history is verified through Labor Condition Application filings, the results reflect real employer behavior rather than self-reported information.
Are there state-specific factors that affect AI data analyst sponsorship in Ohio?
Ohio's combination of large research universities and established employers creates a steady pipeline for sponsored AI data analyst roles. Ohio State University, Case Western Reserve, and the University of Cincinnati produce graduate-level talent that many employers already know how to sponsor. The state's strong presence in insurance, healthcare analytics, and defense research means demand for AI data analysts extends well beyond the typical tech-startup context, with large institutions that have established immigration compliance teams.
What is the prevailing wage for sponsored ai data analyst jobs in Ohio?
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.