Data Manager Visa Sponsorship Jobs in Texas
Texas is one of the most active states for data manager visa sponsorship, with hiring concentrated in Dallas-Fort Worth, Houston, and Austin. Major employers include Dell Technologies, AT&T, ExxonMobil, and a growing network of health systems and financial services firms. The state's scale across energy, tech, and healthcare creates consistent demand for experienced data managers.
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Get Access To All JobsROLE OVERVIEW: We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
ABOUT THE ROLE:
Forecasting & Planning
- Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.
- Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.
- Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.
- Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.
Advanced Analytics & Machine Learning
- Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
- Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.
Marketing Insights & Stakeholder Storytelling
- Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
- Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.
- Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
- Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.
ABOUT YOU:
- 7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.
- Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.
- Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
- Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
- Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
- Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in a quantitative discipline.
- Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
- Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
- Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
- Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
- Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.
COMPANY OVERVIEW: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
COMPANY BENEFITS AND PERKS: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees:
- Bonus Program
- 401k Retirement
- Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
- Paid Parental Leave
- Support and Community Involvement
- 14 Paid Company Holidays
- Unlimited Paid Time Off for Exempt Employees
- 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
PAY RANGE: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
JOB APPLICANT PRIVACY NOTICE: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
ROLE OVERVIEW: We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
ABOUT THE ROLE:
Forecasting & Planning
- Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.
- Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.
- Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.
- Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.
Advanced Analytics & Machine Learning
- Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
- Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.
Marketing Insights & Stakeholder Storytelling
- Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
- Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.
- Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
- Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.
ABOUT YOU:
- 7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.
- Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.
- Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
- Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
- Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
- Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in a quantitative discipline.
- Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
- Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
- Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
- Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
- Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.
COMPANY OVERVIEW: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
COMPANY BENEFITS AND PERKS: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees:
- Bonus Program
- 401k Retirement
- Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
- Paid Parental Leave
- Support and Community Involvement
- 14 Paid Company Holidays
- Unlimited Paid Time Off for Exempt Employees
- 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
PAY RANGE: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
JOB APPLICANT PRIVACY NOTICE: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
Data Manager Job Roles in Texas
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Search Data Manager Jobs in TexasData Manager Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data managers in Texas?
Several large Texas-based employers have established visa sponsorship track records for data manager roles. These include Dell Technologies and NXP Semiconductors in the Austin area, AT&T and JPMorgan Chase in Dallas-Fort Worth, and ExxonMobil and Houston Methodist in the Houston metro. Large hospital systems, defense contractors, and regional banks also regularly sponsor data managers through the H-1B visa program.
Which visa types are most common for data manager roles in Texas?
The H-1B is the most common visa category for data manager positions in Texas, as the role typically requires at least a bachelor's degree in a specific field such as information systems, computer science, or statistics. Some data managers enter on an F-1 OPT or STEM OPT extension before transitioning to H-1B. Candidates with specialized backgrounds may also qualify for the O-1A if they can document extraordinary achievement in their field.
Which cities in Texas have the most data manager sponsorship jobs?
Dallas-Fort Worth leads the state for data manager sponsorship volume, driven by its concentration of financial services, telecom, and corporate headquarters. Houston is the second-largest market, with strong demand from energy companies, healthcare systems, and logistics firms. Austin's tech sector generates consistent openings, particularly at software and semiconductor companies. San Antonio has a smaller but growing market tied to cybersecurity and military-adjacent technology employers.
How to find data manager visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for data manager roles in Texas without sorting through positions that won't support international candidates. You can narrow results by city, industry, or employer type. Because sponsoring employers in Texas span energy, healthcare, finance, and tech, using a focused platform like Migrate Mate saves significant time compared to broad job searches.
Are there any Texas-specific factors that affect visa sponsorship for data managers?
Texas has no state income tax, which affects how employers calculate prevailing wage compliance under Department of Labor requirements for H-1B petitions. The state's large university system, including UT Austin, Texas A&M, and UT Dallas, produces a strong domestic pipeline, so sponsored roles tend to require clear justification of need. Data managers in specialized sectors like oil and gas or healthcare informatics may face less competition for sponsorship than those targeting general corporate IT roles.
What is the prevailing wage for sponsored data manager jobs in Texas?
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.