AI Data Analyst Visa Sponsorship Jobs in Texas
AI data analyst jobs in Texas draw visa sponsorship from major tech employers in Austin and Dallas, alongside energy giants like ExxonMobil and financial firms in Houston. Texas has no state income tax, making it attractive for international workers. Companies including Dell, AT&T, and Oracle actively file LCAs for AI and data-focused roles across the state.
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Position Summary
The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making across the organization. This role is accountable for building and maturing analytics and AI platforms, managing and developing high-performing data teams, and partnering closely with business leaders to translate strategic objectives into scalable analytics and AI solutions.
The position plays a critical role in advancing business intelligence, operational reporting, and advanced analytics by ensuring data is trusted, accessible, and actionable. This role champions best practices in data architecture, governance, and visualization while driving continuous improvement and innovation across analytics services.
Recognizing that trusted data is the foundation for effective AI, this role also leads the responsible adoption of AI capabilities, including predictive machine learning, forecasting, and AI features embedded in modern BI platforms to generate insight, accelerate decision-making, and deliver measurable business value. This role balances strategic direction with technical fluency, guiding the team through model selection, deployment, and ongoing performance monitoring while ensuring AI solutions are explainable, ethical, and aligned with enterprise governance standards.
Responsibilities
- Lead & Develop Talent: Manage, coach, and grow a high-performing team of data analysts, data engineers, and BI professionals. Establish clear goals, drive accountability, and build long-term team capability.
- Own the Analytics & AI Strategy: Define and execute a roadmap aligned to business priorities—balancing immediate reporting needs with long-term platform scalability and maturity.
- Drive Business Impact: Partner directly with cross-functional leaders to identify opportunities where analytics and AI can improve performance, reduce cost, and enable strategic decision-making.
- Deliver Scalable Solutions: Oversee the end-to-end design and delivery of analytics platforms, dashboards, data models, and reporting solutions that are secure, high-performing, and user-friendly.
- Improve Data Quality & Accessibility: Lead data integration efforts across multiple sources, establish data quality standards, and resolve root-cause data issues to ensure trusted, reliable insights.
- Champion Data Governance: Enforce enterprise data governance, privacy, and security standards while ensuring compliance with regulatory and audit requirements.
- Operationalize Excellence: Own platform performance, monitoring, and support models—driving continuous improvement through automation, performance metrics, and user feedback.
- Manage Projects & Portfolio: Oversee multiple concurrent initiatives, managing scope, timelines, resources, risks, and stakeholder communication to ensure on-time, high-quality delivery.
- Advance AI Capabilities: Lead the development and deployment of predictive models and forecasting solutions; drive adoption of AI-powered features within BI tools (e.g., Copilot, automated insights).
- Establish AI Best Practices: Implement standards for model lifecycle management (build, validate, deploy, monitor, retrain) while ensuring solutions are explainable, ethical, and aligned with governance standards.
- Drive Innovation: Stay ahead of emerging trends in analytics and AI, evaluate new technologies, and continuously improve tools, processes, and delivery capabilities.
Minimum Qualification
- Bachelor’s degree in information systems, Computer Science, Data Science, Business Analytics, or related field.
- 7+ years of experience in data analytics, data engineering, or business intelligence, including leadership or supervisory experience.
- Proven track record implementing and managing enterprise analytics platforms, data warehouses, and advanced analytics solutions.
- Hands-on experience with analytics and BI tools (e.g., Power BI, Tableau, Qlik, OBIEE), SQL, and modern data platforms (e.g., Snowflake, Databricks, Azure, AWS, or GCP).
- Experience with data governance, MDM, and enterprise data management frameworks.
- Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model lifecycle management and responsible-AI practices.
- Strong project management and communication skills for both technical and executive audiences.
- Master’s degree (MBA, MIS, or related).
- Familiarity with ITIL, TOGAF, or other enterprise architecture and service management frameworks.
About us:
For over 35 years, TERREPOWER (formerly BBB Industries) has been a leader in sustainable manufacturing, driving the circular economy by extending the life of essential products in the automotive and industrial markets.
Founded in 1987 in Daphne, Alabama by the Bigler family, TERREPOWER began as a small regional remanufacturer of starters and alternators. Our commitment to quality and innovation quickly earned us a reputation as a trusted name in the automotive industry.
Recognizing new challenges and opportunities, in 2019 we set our sights on EV battery upcycling—addressing one of the industry’s most pressing issues. Our engineering team pioneered solutions to extend EV battery life, pushing the boundaries of sustainable innovation.
Recognizing that demand for solar panels would exceed availability and 100,000 tons of waste would potentially go into landfills by 2035, our team searched for an innovative way to upcycle solar panels. With an eye on the future, we developed ways to upcycle solar panels.
Rooted in family and community values, we’re proud to have second-generation employees contributing to our legacy. Backed by Clearlake Capital, we’ve expanded our footprint into Europe with facilities in Spain, Italy, Denmark, Germany, and Poland. We now sustainably manufacture and supply an assortment of nondiscretionary repair parts across more than 90 countries.
As we move forward under the TERREPOWER name, we remain committed to the same values that have always defined us: entrepreneurship, teamwork, customer-centered, sustainability, safety.
Why Join Us?
When you join our team, you become part of a company that is redefining how essential products are made, reused, and repurposed to reduce waste and maximize resources.
Here’s what sets us apart:
- Purpose-Driven Work – Every day, your work will contribute to extending the useful life of essential products, keeping vehicles on the road and critical systems running.
- Innovative Mindset – We encourage creative problem-solving and bold ideas to push the boundaries of what is possible.
- Global Reach, Local Impact – With operations in North America and Europe, we have a global presence but remain deeply connected to the communities we serve.
- Growth & Development – Whether you’re on the production floor, in engineering, or part of our corporate team, we invest in your success through training, mentorship, and career advancement opportunities.
- A Culture of Collaboration – Rooted in teamwork and shared values, our employees work together to tackle challenges and drive meaningful change.
TERREPOWER is an Equal Opportunity Employer. We are committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability unrelated to the ability to perform a job, sexual orientation, or transgender status to the extent protected by law. We believe that diversity drives innovation and success.
AI Data Analyst Job Roles in Texas
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Search AI Data Analyst Jobs in TexasAI Data Analyst Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI data analysts in Texas?
Texas-based employers with active LCA filing histories for AI and data analyst roles include Dell Technologies, AT&T, Oracle, ExxonMobil, JPMorgan Chase, and Amazon Web Services. Austin's tech corridor and Dallas-Fort Worth's financial and telecom hubs are the most active. Energy companies in Houston increasingly sponsor data roles tied to predictive modeling and operational analytics.
Which visa types realistically fit AI data analyst roles in Texas?
AI data analyst roles qualify as specialty occupations, so the H-1B visa is the most common path, requiring a bachelor's degree in a directly related field such as computer science, statistics, or data science. Australian nationals can use the E-3 visa, and Chilean and Singaporean nationals may qualify for the H-1B1 visa. F-1 students can work via OPT or STEM OPT if their degree is STEM-designated. Employer-sponsored EB-2 or EB-3 green cards are also available for longer-term pathways.
Which cities in Texas have the most AI data analyst sponsorship jobs?
Austin leads Texas for AI data analyst sponsorship, driven by a dense concentration of tech companies and startups. Dallas-Fort Worth follows closely, with strong demand from financial services, telecom, and logistics firms. Houston is a growing market, particularly for AI analysts supporting energy sector operations. San Antonio has emerging opportunities linked to cybersecurity and military-adjacent tech contractors.
How to find ai data analyst visa sponsorship jobs in Texas?
Migrate Mate lists Texas employers with verified LCA sponsorship history for AI data analyst roles, letting you search by city and filter to companies that have already demonstrated willingness to sponsor. This is more reliable than sorting through general job postings that may not lead to sponsorship. Austin, Dallas, and Houston are worth prioritizing given the volume of active filings in those metro areas.
Are there state-specific factors that affect AI data analyst sponsorship in Texas?
Texas has no state income tax, which makes compensation packages more attractive to international workers and can make employer offers more competitive without raising base salary. The state's large university system, including UT Austin and Texas A&M, feeds a strong local pipeline of STEM graduates, so employers are accustomed to sponsoring H-1B and OPT candidates. The energy sector's accelerating investment in machine learning creates sponsorship demand outside traditional tech hiring.
What is the prevailing wage for sponsored ai data analyst 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.