TN Visa Data Manager Jobs
Data Manager roles qualify for TN visa sponsorship under the USMCA's Systems Analyst and Computer Systems Analyst categories when the position requires a bachelor's degree in computer science, information systems, or a related field. Canadian citizens can apply at the border; Mexican citizens need consular processing.
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Get Access To All JobsINTRODUCTION
The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks a Professor of Practice in Data to teach introductory and multi-disciplinary courses in data literacy, data visualization, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the broader community through courses, workshops, events, student internship, seed grants, statistical consulting, and supporting interdisciplinary research groups.
This is a full-time, non-tenure-track position eligible for promotion to Senior Professor of Practice. The initial appointment is renewed every three years and later up to five or seven years. Renewal is based on an evaluation of teaching, service, and research. Professors of Practice are eligible to be considered for promotion to Senior Professor of Practice after at least three years.
Required Application Materials
Interested candidates should submit the following materials:
- Cover Letter
- Curriculum Vitae (CV)
- Teaching statement/philosophy (upload to the Miscellaneous Document section)
The cover letter and/or teaching statement should address the candidate’s interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management to a diverse student body, especially students with minimal background in data, statistics, or computer science. Additional documents may be requested at a later date.
REQUIRED EDUCATION AND EXPERIENCE
- A Ph.D. in a data-related field* and teaching experience as an instructor or teaching experience in a data-focused course; OR
- A Master’s degree in a data-related field,* with at least five (5) years of combined experience teaching in post-secondary or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.
- Data-related fields include, but are not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration), humanities with a data focus, public health, education with a data focus, and numerous STEM fields such as Engineering, Computer Science, Natural Sciences, etc. Applicants with a background in qualitative research methodology will also be considered if they are able to teach basic quantitative methods in addition to qualitative methods.
REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY
- Demonstrated ability to teach in post-secondary institutions, particularly to students with minimal background in data, statistics, or computer science.
- Ability to initiate and manage programming and initiatives with minimal supervision.
- Ability to teach Introduction to Data and Data Visualization.
- Ability to develop practical and creative post-secondary education programming and services that promote faculty and student engagement in data-related research.
- Experience developing data visualizations, including graphs, charts, and interactive tools such as dashboards, using applications such as Excel, PowerBI, Flourish, Tableau, or R.
- Commitment to continuous improvement in pedagogy and data science.
- Demonstrated commitment to engaging diverse populations in data literacy.
- Demonstrated ability to interact well with diverse groups of people, including students from varied backgrounds, university leadership, staff, and faculty from different disciplines.
- Excellent written and oral communication skills.
PREFERRED QUALIFICATIONS
- Experience teaching data-focused post-secondary course(s) as the instructor of record.
- Training or education in teaching or pedagogy.
- Experience developing or managing post-secondary programming such as workshops, internships, events, and research services.
- Ability to provide data, statistical, computer science, or applied AI consulting services to faculty.
- Ability to develop industry or community relationships that lead to service-learning opportunities, student internships, community partnerships, or external grant proposals.
- Ability to engage with students in data storytelling methods through data visualization.
- Willingness to cover and engage with data visualization theories and methods using both scientific and creative techniques.
- Ability and desire to learn and teach multiple data visualization theories or methodologies across multiple fields including arts, humanities, social sciences, liberal arts, public health, and STEM.
TEACHING
This position has a 2/2 teaching load (two courses per semester) to accommodate service work. The Professor of Practice will be expected to teach:
- DATA 1010: Introduction to Data, a course that introduces students to fundamental skills in data literacy, analysis, communication, and ethics.
- DATA 2030: Data Visualization, a course surveying creative and analytical theories and techniques for understanding and developing data visualizations, including graphs, charts, maps and interactive tools such as dashboards.
At least one multi-disciplinary undergraduate course in their area of interest or expertise. We are particularly interested in candidates who can add new courses to our existing curriculum including, but not limited to, analysis of image, audio, and other non-standard data types; survey and polling design and analysis; biostatistics, bioinformatics, or analysis of clinical trial/experimental data, and courses that could fit into the AI Literacy Minor. All CAIDS courses draw from multi-disciplinary perspectives and are open to students of all backgrounds and abilities, usually without a prerequisite.
SERVICE
In addition to teaching, the Professor of Practice will develop and facilitate CAIDS programs and services that increase faculty and student participation in data-related research while upholding CAIDS’s mission of being inclusive to all data fields. Based on the candidate’s expertise, possible service roles may include:
- developing and coordinating internal and external internship and research-assistant programs;
- facilitating collaborative grant applications;
- providing statistical, data, or applied-AI consulting services;
- coordinating research-related programming such as seminars, workshops, data-thons, and poster sessions; and
- supporting interdisciplinary research groups in the Professor of Practice’s areas of expertise or interest.
This position will also support data visualization co-curricular activities. Responsibilities include working closely with librarians at Howard-Tilton Memorial Library to plan the Love Data Week Data Visualization and Physicalization competitions and exhibits, promoting and coordinating student participation in Tulane poster sessions, developing and facilitating occasional data visualization workshops, and undertaking related service activities.
The Professor of Practice will contribute to shaping CAIDS’s priorities and future direction, serving as an active partner in managing the institute’s programs and initiatives.
RESEARCH
Conducting research is not a requirement, but data-related research or scholarship on data science teaching and learning can be incorporated into the workload.
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
INTRODUCTION
The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks a Professor of Practice in Data to teach introductory and multi-disciplinary courses in data literacy, data visualization, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the broader community through courses, workshops, events, student internship, seed grants, statistical consulting, and supporting interdisciplinary research groups.
This is a full-time, non-tenure-track position eligible for promotion to Senior Professor of Practice. The initial appointment is renewed every three years and later up to five or seven years. Renewal is based on an evaluation of teaching, service, and research. Professors of Practice are eligible to be considered for promotion to Senior Professor of Practice after at least three years.
Required Application Materials
Interested candidates should submit the following materials:
- Cover Letter
- Curriculum Vitae (CV)
- Teaching statement/philosophy (upload to the Miscellaneous Document section)
The cover letter and/or teaching statement should address the candidate’s interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management to a diverse student body, especially students with minimal background in data, statistics, or computer science. Additional documents may be requested at a later date.
REQUIRED EDUCATION AND EXPERIENCE
- A Ph.D. in a data-related field* and teaching experience as an instructor or teaching experience in a data-focused course; OR
- A Master’s degree in a data-related field,* with at least five (5) years of combined experience teaching in post-secondary or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.
- Data-related fields include, but are not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration), humanities with a data focus, public health, education with a data focus, and numerous STEM fields such as Engineering, Computer Science, Natural Sciences, etc. Applicants with a background in qualitative research methodology will also be considered if they are able to teach basic quantitative methods in addition to qualitative methods.
REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY
- Demonstrated ability to teach in post-secondary institutions, particularly to students with minimal background in data, statistics, or computer science.
- Ability to initiate and manage programming and initiatives with minimal supervision.
- Ability to teach Introduction to Data and Data Visualization.
- Ability to develop practical and creative post-secondary education programming and services that promote faculty and student engagement in data-related research.
- Experience developing data visualizations, including graphs, charts, and interactive tools such as dashboards, using applications such as Excel, PowerBI, Flourish, Tableau, or R.
- Commitment to continuous improvement in pedagogy and data science.
- Demonstrated commitment to engaging diverse populations in data literacy.
- Demonstrated ability to interact well with diverse groups of people, including students from varied backgrounds, university leadership, staff, and faculty from different disciplines.
- Excellent written and oral communication skills.
PREFERRED QUALIFICATIONS
- Experience teaching data-focused post-secondary course(s) as the instructor of record.
- Training or education in teaching or pedagogy.
- Experience developing or managing post-secondary programming such as workshops, internships, events, and research services.
- Ability to provide data, statistical, computer science, or applied AI consulting services to faculty.
- Ability to develop industry or community relationships that lead to service-learning opportunities, student internships, community partnerships, or external grant proposals.
- Ability to engage with students in data storytelling methods through data visualization.
- Willingness to cover and engage with data visualization theories and methods using both scientific and creative techniques.
- Ability and desire to learn and teach multiple data visualization theories or methodologies across multiple fields including arts, humanities, social sciences, liberal arts, public health, and STEM.
TEACHING
This position has a 2/2 teaching load (two courses per semester) to accommodate service work. The Professor of Practice will be expected to teach:
- DATA 1010: Introduction to Data, a course that introduces students to fundamental skills in data literacy, analysis, communication, and ethics.
- DATA 2030: Data Visualization, a course surveying creative and analytical theories and techniques for understanding and developing data visualizations, including graphs, charts, maps and interactive tools such as dashboards.
At least one multi-disciplinary undergraduate course in their area of interest or expertise. We are particularly interested in candidates who can add new courses to our existing curriculum including, but not limited to, analysis of image, audio, and other non-standard data types; survey and polling design and analysis; biostatistics, bioinformatics, or analysis of clinical trial/experimental data, and courses that could fit into the AI Literacy Minor. All CAIDS courses draw from multi-disciplinary perspectives and are open to students of all backgrounds and abilities, usually without a prerequisite.
SERVICE
In addition to teaching, the Professor of Practice will develop and facilitate CAIDS programs and services that increase faculty and student participation in data-related research while upholding CAIDS’s mission of being inclusive to all data fields. Based on the candidate’s expertise, possible service roles may include:
- developing and coordinating internal and external internship and research-assistant programs;
- facilitating collaborative grant applications;
- providing statistical, data, or applied-AI consulting services;
- coordinating research-related programming such as seminars, workshops, data-thons, and poster sessions; and
- supporting interdisciplinary research groups in the Professor of Practice’s areas of expertise or interest.
This position will also support data visualization co-curricular activities. Responsibilities include working closely with librarians at Howard-Tilton Memorial Library to plan the Love Data Week Data Visualization and Physicalization competitions and exhibits, promoting and coordinating student participation in Tulane poster sessions, developing and facilitating occasional data visualization workshops, and undertaking related service activities.
The Professor of Practice will contribute to shaping CAIDS’s priorities and future direction, serving as an active partner in managing the institute’s programs and initiatives.
RESEARCH
Conducting research is not a requirement, but data-related research or scholarship on data science teaching and learning can be incorporated into the workload.
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
See all 162+ TN Visa Data Manager Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Data Manager
Verify your degree field matches the role
TN visa classification for Data Manager positions hinges on degree-to-job alignment. A computer science or information systems degree maps cleanly, but a general business degree may prompt a CBP officer to question eligibility, even for identical job duties.
Request a TN-ready offer letter upfront
Ask your employer to specify your professional capacity, degree requirement, and intended duties in the offer letter before your border appointment. CBP officers adjudicate on the spot, and a vague letter is the leading cause of same-day denials.
Target employers experienced with visa sponsorship
Companies experienced with visa sponsorship already have legal counsel familiar with work visa processes. Prioritize mid-to-large technology, healthcare, and financial services firms, where data governance roles are established and employers have demonstrated experience navigating visa requirements. For TN sponsorship, your employer will prepare a support letter outlining your qualifications and role—a simpler process than other visa categories, but still requiring employer familiarity with work visa documentation.
Use Migrate Mate to find sponsoring employers fast
Sorting through job postings without knowing which employers will sponsor wastes weeks. Migrate Mate filters Data Manager openings by employers with recent visa filings, so you're applying to roles where the employer has demonstrated experience with visa sponsorship and understands the TN visa process.
Prepare for Mexican nationals' consular timeline
Mexican citizens cannot self-petition at a port of entry and must schedule a consulate appointment, which currently runs several weeks out at major posts. Build at least six to eight weeks of lead time into your start date negotiation with your employer.
Document data governance tools in your application package
CBP and consular officers respond to specificity. Your employer's support letter should list the exact platforms you'll manage, such as SQL databases, cloud data warehouses, or ETL pipelines, to confirm the role requires specialized technical knowledge, not general management.
Data Manager TN Visa: Frequently Asked Questions
Does a Data Manager role actually qualify for TN visa status?
It depends on how the role is defined and what degree you hold. CBP typically classifies Data Manager positions under the Systems Analyst or Computer Systems Analyst TN category when the job requires designing, implementing, or overseeing data infrastructure. If the role is primarily administrative without a clear technical specialty, CBP may not approve TN status, so your employer's offer letter needs to emphasize the technical scope of the position.
How does TN compare to H-1B for Data Manager positions?
TN has no annual lottery and no cap for Canadian citizens, so you can start as soon as CBP approves your application at the border. H-1B visa selection is random and capped at 85,000 per year, meaning qualified candidates often wait years before getting a slot. TN is renewable indefinitely in three-year increments, though it doesn't lead directly to a green card the way H-1B can, which is a trade-off worth evaluating based on your long-term plans.
Where can I find Data Manager jobs that offer TN visa sponsorship?
Most general job boards don't filter by employer visa sponsorship experience, which means you end up cold-applying to roles where the employer may lack experience with work visa processes. Migrate Mate is built specifically for TN and other treaty visa holders, letting you search Data Manager openings by employers with recent visa filings and sponsorship experience, so you spend time on applications that are actually viable.
Can I switch employers on a TN visa if I get a better Data Manager offer?
Yes. TN status is employer-specific, so you need a new TN approval tied to your new employer before you start working there. Canadian citizens can get this approved at a port of entry on the same day. Mexican citizens need to return to a consulate for a new stamp. You don't need to wait for your current TN to expire, but you can't begin work for the new employer until the new approval is in hand.
What happens if CBP denies my TN application at the border?
A denial at the port of entry is not a visa ban. You can reapply on a future trip once you've addressed the reason for denial, which CBP is required to explain in writing. Common causes for Data Manager roles include a degree field that doesn't clearly map to the position or an offer letter that describes general management duties rather than technical data systems work. Strengthening your documentation and reapplying is the standard next step.