Data Contributor Visa Sponsorship Jobs in Florida
Florida's data contributor job market draws from a mix of technology, healthcare, financial services, and defense sectors, with major hiring activity in Miami, Orlando, Tampa, and Jacksonville. Companies like Citi, AdventHealth, Lockheed Martin, and a growing wave of Miami-based tech startups have sponsored international workers for data-focused roles in recent years.
See All Data Contributor JobsOverview
Showing 5 of 744+ Data Contributor Jobs in Florida with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 744+ Data Contributor Jobs in Florida with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs in Florida with Visa Sponsorship.
Get Access To All JobsPosition Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Job Description
FIS is seeking a senior, hands-on leader to drive delivery across Risk Analytics and Data Quality initiatives. In this role, you will lead a hybrid team (domestic and offshore) and partner closely with stakeholders to plan, execute, and continuously improve analytics and data-quality solutions supporting risk and compliance priorities.
What you will do:
- Lead day-to-day delivery for Risk Analytics and Data Quality workstreams, balancing people leadership with hands-on analytical execution.
- Supervise, coach, and develop a team of domestic and offshore data professionals; coordinate workload, priorities, and delivery commitments.
- Partner with stakeholder teams across Risk Analytics and Enterprise Data Management to scope work, set expectations, and deliver results.
- Own project planning, execution, and reporting for assigned initiatives; manage resources and risks to meet timelines and quality expectations.
- Establish and maintain standards for documentation, reproducibility, scalability, and model/data governance.
Risk Analytics responsibilities
- Plan, develop, and deliver analytical models including classification and predictive models, scoring and rules-based models, and other advanced analytics techniques (machine learning and artificial intelligence).
- Perform problem framing and analysis; lead data collection, integration, exploration, and preparation to support modeling objectives.
- Guide model implementation in partnership with technology and business teams, ensuring solutions are production-ready and measurable.
- Support analytics needs across Fraud Prevention, Anti-Money Laundering (AML), Compliance, Credit Risk, Market Risk, Operational Risk, and Finance.
- Apply appropriate methodology across the model lifecycle, including tracking, documentation, reproducibility, scalability, monitoring, and actionable insights.
Data Quality responsibilities
- Develop and oversee analytical controls and reporting to identify and track data-flow issues across systems and data sources.
- Define and monitor critical data elements; detect unexpected values and potential quality defects.
- Drive issue triage and resolution by partnering with stakeholders; track remediation through to closure.
Team & working style
You will lead a high-performing, globally distributed team supporting Risk Analytics and Data Quality initiatives. Success in this role requires strong collaboration across time zones and the ability to translate stakeholder needs into clear, executable plans.
Required Qualifications:
- 10+ years of experience in banking and analytics, including senior-level stakeholder engagement and delivery ownership.
- Graduate degree in Statistics, Data Science, Applied Economics, Machine Learning, or a related field (or equivalent experience).
- Strong foundation in statistics, data science, and modern analytical techniques, including machine learning and AI concepts.
- Proficiency with analytical programming and data tools such as Python, SAS, R, and SQL.
- Experience leading teams and delivering work through clear planning, prioritization, and execution.
- Excellent written and verbal communication skills, with the ability to explain complex analytical topics to technical and non-technical audiences.
- Proficiency with Windows productivity tools (e.g., Microsoft Office).
Preferred Qualifications:
- Working knowledge of Power BI.
- Experience with Monday.com or a similar project management tool.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
Position Type:
Full time
Type Of Hire:
Experienced (relevant combo of work and education)
Job Description
FIS is seeking a senior, hands-on leader to drive delivery across Risk Analytics and Data Quality initiatives. In this role, you will lead a hybrid team (domestic and offshore) and partner closely with stakeholders to plan, execute, and continuously improve analytics and data-quality solutions supporting risk and compliance priorities.
What you will do:
- Lead day-to-day delivery for Risk Analytics and Data Quality workstreams, balancing people leadership with hands-on analytical execution.
- Supervise, coach, and develop a team of domestic and offshore data professionals; coordinate workload, priorities, and delivery commitments.
- Partner with stakeholder teams across Risk Analytics and Enterprise Data Management to scope work, set expectations, and deliver results.
- Own project planning, execution, and reporting for assigned initiatives; manage resources and risks to meet timelines and quality expectations.
- Establish and maintain standards for documentation, reproducibility, scalability, and model/data governance.
Risk Analytics responsibilities
- Plan, develop, and deliver analytical models including classification and predictive models, scoring and rules-based models, and other advanced analytics techniques (machine learning and artificial intelligence).
- Perform problem framing and analysis; lead data collection, integration, exploration, and preparation to support modeling objectives.
- Guide model implementation in partnership with technology and business teams, ensuring solutions are production-ready and measurable.
- Support analytics needs across Fraud Prevention, Anti-Money Laundering (AML), Compliance, Credit Risk, Market Risk, Operational Risk, and Finance.
- Apply appropriate methodology across the model lifecycle, including tracking, documentation, reproducibility, scalability, monitoring, and actionable insights.
Data Quality responsibilities
- Develop and oversee analytical controls and reporting to identify and track data-flow issues across systems and data sources.
- Define and monitor critical data elements; detect unexpected values and potential quality defects.
- Drive issue triage and resolution by partnering with stakeholders; track remediation through to closure.
Team & working style
You will lead a high-performing, globally distributed team supporting Risk Analytics and Data Quality initiatives. Success in this role requires strong collaboration across time zones and the ability to translate stakeholder needs into clear, executable plans.
Required Qualifications:
- 10+ years of experience in banking and analytics, including senior-level stakeholder engagement and delivery ownership.
- Graduate degree in Statistics, Data Science, Applied Economics, Machine Learning, or a related field (or equivalent experience).
- Strong foundation in statistics, data science, and modern analytical techniques, including machine learning and AI concepts.
- Proficiency with analytical programming and data tools such as Python, SAS, R, and SQL.
- Experience leading teams and delivering work through clear planning, prioritization, and execution.
- Excellent written and verbal communication skills, with the ability to explain complex analytical topics to technical and non-technical audiences.
- Proficiency with Windows productivity tools (e.g., Microsoft Office).
Preferred Qualifications:
- Working knowledge of Power BI.
- Experience with Monday.com or a similar project management tool.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
Data Contributor Job Roles in Florida
See all 744+ Data Contributor Jobs in Florida
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Contributor Jobs in FloridaData Contributor Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for data contributors in Florida?
Florida employers that have sponsored international workers for data-related roles include Citi (processing operations in Tampa), AdventHealth and other large health systems, Lockheed Martin in Orlando, and a range of fintech and tech companies concentrated in Miami's Brickell district. Larger enterprises with established HR and legal infrastructure are generally the most consistent sponsors for data contributor positions.
Which visa types are most common for data contributor roles in Florida?
The H-1B is the most commonly used visa for data contributor roles in Florida, provided the position qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or information systems. Some roles may also be filled through the OPT and STEM OPT extensions for recent graduates, or through L-1 transfers for employees relocating from a foreign affiliated office.
How to find data contributor visa sponsorship jobs in Florida?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data contributor roles in Florida without sorting through positions that don't sponsor. The platform aggregates openings across Florida's major hiring hubs, including Miami, Tampa, and Orlando, making it more efficient than browsing general job boards where sponsorship status is rarely disclosed upfront.
Which cities in Florida have the most data contributor sponsorship jobs?
Miami leads Florida for data contributor sponsorship activity, driven by its concentration of fintech firms, international banks, and a maturing tech startup ecosystem. Tampa follows closely, with strong demand from healthcare systems, financial services firms, and cybersecurity companies. Orlando sees consistent hiring through its defense and simulation industry presence, while Jacksonville contributes openings from logistics and financial operations centers.
Are there any Florida-specific considerations for data contributor roles and visa sponsorship?
Florida has no state income tax, which factors into prevailing wage comparisons that employers must submit with H-1B Labor Condition Applications. The state's large university system, including the University of Florida and University of South Florida, produces a pipeline of international graduates on OPT who are actively sought by Florida employers for data contributor roles. Defense-adjacent employers in the Orlando corridor may also require security clearance eligibility, which can affect sponsorship decisions.
What is the prevailing wage for sponsored data contributor jobs in Florida?
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.
See which data contributor employers are hiring and sponsoring visas in Florida right now.
Search Data Contributor Jobs in Florida