Analytics Manager Visa Sponsorship Jobs in Texas
Texas is one of the strongest markets for analytics manager roles with visa sponsorship, driven by major tech, energy, and financial services employers across Austin, Dallas, and Houston. Companies like Dell, AT&T, ExxonMobil, and Amazon's Austin operations regularly hire analytics managers and have established international hiring programs.
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Get Access To All JobsAI Platforms Analytics and Governance Lead
Job Summary
The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.
This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.
Responsibilities
- Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
- Define platform standards, governance policies, and model consumption guidelines.
- Evaluate emerging AI technologies and recommend adoption strategies.
- Partner with security, legal, privacy, and compliance teams.
- Develop budget guardrails and cost allocation strategies.
- Create consumption forecasting models and executive dashboards.
- Identify optimization opportunities including:
- Prompt engineering
- Prompt caching
- Model routing
- Token reduction
- Context window optimization
- RAG optimization
- Batch processing
- Agent orchestration improvements
- Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
- Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
- Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
- Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
- Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
- Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
- Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
- Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
- Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
- Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
- Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.
Education & Experience Recommended
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Preferred Certifications
- Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
- Agile Methodology
- Business Intelligence
- Computer Science
- Dashboard
- Data Analysis
- Data Management
- Data Modeling
- Data Quality
- Data Science
- Data Visualization
- Data Warehousing
- Extract Transform Load (ETL)
- Machine Learning
- Power BI
- Python (Programming Language)
- R (Programming Language)
- SAS (Software)
- SQL (Programming Language)
- Statistics
- Tableau (Business Intelligence Software)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
AI Platforms Analytics and Governance Lead
Job Summary
The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.
This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.
Responsibilities
- Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
- Define platform standards, governance policies, and model consumption guidelines.
- Evaluate emerging AI technologies and recommend adoption strategies.
- Partner with security, legal, privacy, and compliance teams.
- Develop budget guardrails and cost allocation strategies.
- Create consumption forecasting models and executive dashboards.
- Identify optimization opportunities including:
- Prompt engineering
- Prompt caching
- Model routing
- Token reduction
- Context window optimization
- RAG optimization
- Batch processing
- Agent orchestration improvements
- Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
- Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
- Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
- Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
- Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
- Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
- Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
- Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
- Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
- Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
- Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.
Education & Experience Recommended
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
Preferred Certifications
- Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
- Agile Methodology
- Business Intelligence
- Computer Science
- Dashboard
- Data Analysis
- Data Management
- Data Modeling
- Data Quality
- Data Science
- Data Visualization
- Data Warehousing
- Extract Transform Load (ETL)
- Machine Learning
- Power BI
- Python (Programming Language)
- R (Programming Language)
- SAS (Software)
- SQL (Programming Language)
- Statistics
- Tableau (Business Intelligence Software)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
Analytics Manager Job Roles in Texas
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Search Analytics Manager Jobs in TexasAnalytics Manager Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for analytics managers?
Several large Texas-based employers have consistent track records of sponsoring work visas for analytics managers. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and American Airlines in Dallas-Fort Worth, and ExxonMobil and Shell in Houston. Amazon, Google, and Microsoft also operate significant Texas offices and sponsor analytics talent through H-1B visa and other work visa categories.
Which visa types are most common for analytics manager roles in Texas?
The H-1B is the most common visa category for analytics managers in Texas, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a related field such as statistics, data science, computer science, or business analytics. Candidates already holding L-1B or O-1 visa status sometimes transition into analytics manager roles as well, and some employers also sponsor permanent residency through EB-2 or EB-3 petitions for longer-tenured staff.
Which cities in Texas have the most analytics manager sponsorship jobs?
Austin leads Texas for analytics manager sponsorship activity, fueled by a dense concentration of tech companies and high-growth startups. Dallas-Fort Worth follows closely, with strong demand from telecommunications, financial services, and retail analytics teams. Houston rounds out the top three, particularly within energy sector companies that maintain large data and analytics functions. San Antonio has a smaller but growing market tied to cybersecurity and healthcare analytics.
How to find analytics manager visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international candidates and filters analytics manager roles in Texas by visa sponsorship status, so you're not sifting through listings that won't support your immigration needs. Searching by role and state on Migrate Mate surfaces employers in Austin, Dallas, and Houston that have filed H-1B petitions for analytics positions, giving you a targeted and efficient starting point for your job search.
Are there any Texas-specific considerations for analytics managers pursuing visa sponsorship?
Texas has no state income tax, which affects how employers benchmark total compensation when meeting Department of Labor prevailing wage requirements for H-1B petitions. The state's large university system, including UT Austin, Texas A&M, and Rice University, generates a significant pipeline of international analytics talent that major employers actively recruit. Analytics managers with experience in energy data, supply chain analytics, or financial services tend to find the strongest sponsorship opportunities given Texas's dominant industries.
What is the prevailing wage for sponsored analytics 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.