Data Manager Visa Sponsorship Jobs in Louisiana
Data manager roles in Louisiana are concentrated in New Orleans, Baton Rouge, and Lafayette, where energy companies like Chevron and Shell, major hospital systems like Ochsner Health, and universities like LSU drive steady demand. Employers in oil and gas, healthcare, and higher education have established records of sponsoring skilled data professionals for H-1B visa and other work visas.
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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.
Data Manager Job Roles in Louisiana
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Search Data Manager Jobs in LouisianaData Manager Jobs in Louisiana: Frequently Asked Questions
Which companies in Louisiana sponsor visas for data managers?
Energy sector employers including Chevron, Shell, and Entergy have histories of H-1B sponsorship for data roles in Louisiana. Large healthcare systems like Ochsner Health and LCMC Health, along with universities such as LSU and Tulane, also sponsor data managers. Government contractors operating in the Baton Rouge corridor are additional sources of sponsorship activity in the state.
Which visa types are most common for data manager roles in Louisiana?
The H-1B is the most common visa for data managers in Louisiana, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like computer science, information systems, or statistics. Candidates with advanced degrees may also pursue the EB-2 immigrant visa. Intracompany transfers via L-1B are relevant for multinational energy firms with Louisiana offices.
Which cities in Louisiana have the most data manager sponsorship jobs?
New Orleans and Baton Rouge account for the majority of data manager sponsorship activity in Louisiana. New Orleans draws from its healthcare, hospitality tech, and port logistics sectors. Baton Rouge is anchored by petrochemical industry employers and state government agencies. Lafayette has a smaller but active market tied to the oil and gas services industry operating in and around the Acadiana region.
How to find data manager visa sponsorship jobs in Louisiana?
Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, making it easier to identify data manager positions in Louisiana without sorting through listings that exclude international candidates. You can search by state and role to surface openings at energy companies, hospital systems, and universities in New Orleans, Baton Rouge, and Lafayette that have active sponsorship histories.
Are there any Louisiana-specific considerations for data managers seeking visa sponsorship?
Louisiana's economy creates some industry-specific hiring patterns worth understanding. Energy sector employers often have established immigration programs and experienced HR teams, which can make the sponsorship process more straightforward than at smaller firms. The LSU and Tulane graduate pipelines produce international candidates in data-related fields, meaning university-affiliated employers in Baton Rouge and New Orleans are generally familiar with H-1B filing requirements for this role category.
What is the prevailing wage for sponsored data manager jobs in Louisiana?
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.