Data Manager Visa Sponsorship Jobs in Ohio
Ohio's data manager job market spans healthcare systems like Cleveland Clinic and OhioHealth, financial institutions in Columbus, and manufacturing firms across Dayton and Akron. Employers in these sectors regularly sponsor H-1B visas for qualified data managers. Columbus, Cleveland, and Cincinnati are the state's primary hiring hubs for this role.
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Summary
The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools, as well as, being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure Huntington’s data conforms to business rules and is accurate, complete, consistent, and uniform.
Duties and Responsibilities:
- Architecting, creating and maintaining data pipelines.
- Assist with renovating the data management infrastructure to drive automation in data integration and management.
- Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
- Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
- Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
- Demonstrated ability to communicate complex results to technical and non-technical audiences.
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
- Strategic, intellectually curious thinker with focus on outcomes.
- Professional image with the ability to form relationships across functions.
- Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
- Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
- Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
- Coaches' individuals through change and serves as a role model.
- Performs other duties as assigned.
Basic Qualifications:
- Bachelor's Degree in computer science, statistics, related field, or relevant work experience
- 7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
- 7+ years of experience with database programming languages and advanced analytics
Preferred Qualifications:
- Master's degree in computer science, statistics or related field
- Hands on data testing experience
- Demonstrated success working with data preparation tools
- Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS)
- Expert knowledge of BI software tools
- Expert experience with open-source and commercial data science platforms
- Learn and/or Agile methodology
- Strong experience with various Data Management architectures and processes
- Strong ability to design, build and manage data pipelines for data
- Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
- Demonstrated success in working with large, heterogeneous datasets to extract business value
- Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Ability to train more junior analysts regarding day-to-day activities, as necessary
- Proven ability to lead cross-functional teams
- Willingness and ability to learn new technologies on the job
Exempt Status: Yes (not eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Description
Summary
The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools, as well as, being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure Huntington’s data conforms to business rules and is accurate, complete, consistent, and uniform.
Duties and Responsibilities:
- Architecting, creating and maintaining data pipelines.
- Assist with renovating the data management infrastructure to drive automation in data integration and management.
- Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
- Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
- Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
- Demonstrated ability to communicate complex results to technical and non-technical audiences.
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
- Strategic, intellectually curious thinker with focus on outcomes.
- Professional image with the ability to form relationships across functions.
- Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
- Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
- Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
- Coaches' individuals through change and serves as a role model.
- Performs other duties as assigned.
Basic Qualifications:
- Bachelor's Degree in computer science, statistics, related field, or relevant work experience
- 7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
- 7+ years of experience with database programming languages and advanced analytics
Preferred Qualifications:
- Master's degree in computer science, statistics or related field
- Hands on data testing experience
- Demonstrated success working with data preparation tools
- Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS)
- Expert knowledge of BI software tools
- Expert experience with open-source and commercial data science platforms
- Learn and/or Agile methodology
- Strong experience with various Data Management architectures and processes
- Strong ability to design, build and manage data pipelines for data
- Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
- Demonstrated success in working with large, heterogeneous datasets to extract business value
- Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Ability to train more junior analysts regarding day-to-day activities, as necessary
- Proven ability to lead cross-functional teams
- Willingness and ability to learn new technologies on the job
Exempt Status: Yes (not eligible for overtime pay)
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer.
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
Data Manager Job Roles in Ohio
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Search Data Manager Jobs in OhioData Manager Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for data managers?
Healthcare organizations are among the most active sponsors for data managers in Ohio. Cleveland Clinic, OhioHealth, and Nationwide Children's Hospital have histories of H-1B filings for data-related roles. Large employers in financial services and insurance, including Nationwide and Progressive, also sponsor regularly. Manufacturing and logistics companies headquartered in the state, such as Procter and Gamble's Ohio operations, round out the sponsoring employer pool.
What visa types are most common for data manager roles in Ohio?
The H-1B is the most common visa category for data manager positions in Ohio. The role generally qualifies as a specialty occupation when it requires a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already holding an L-1B intracompany transferee visa or an O-1 visa may also fill data manager roles, depending on their employer and qualifications.
Which Ohio cities have the most data manager visa sponsorship jobs?
Columbus accounts for the largest share of data manager sponsorship activity in Ohio, driven by its concentration of insurance, finance, and technology employers. Cleveland follows closely, anchored by its large healthcare systems and hospital networks. Cincinnati and Dayton also have active markets, with Cincinnati's corporate headquarters base and Dayton's defense and aerospace sector both generating consistent demand for data management professionals.
How to find data manager visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international job seekers and filters data manager roles in Ohio by visa sponsorship availability, saving you from manually screening hundreds of listings. You can browse active openings from employers who have a documented history of sponsoring work visas. Filtering by Ohio and the data manager role category gives you a focused list relevant to your situation without any guesswork about which employers are open to sponsorship.
Are there state-specific factors that affect data manager sponsorship hiring in Ohio?
Ohio's strong university system, including Ohio State University and Case Western Reserve University, creates a consistent pipeline of data professionals that employers are accustomed to hiring and sponsoring. Prevailing wage requirements under the H-1B program apply statewide and vary by metro area, so Columbus and Cleveland typically have different wage benchmarks than smaller markets. Healthcare, which dominates sponsorship in Ohio, tends to have structured HR processes that are familiar with the LCA and H-1B filing requirements.
What is the prevailing wage for sponsored data manager 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.