Data Science Lead Jobs in Texas
Data Science Lead jobs in Texas are in high demand, with strong hiring concentrated in enterprise technology, financial services, energy analytics, and healthcare informatics and openings available from senior individual contributors through director-adjacent team leads. Austin, Dallas, and Houston account for the largest share of postings, where employers such as Dell Technologies, JPMorgan Chase, and ExxonMobil maintain established data and analytics organizations. The most sought-after specialties in Texas right now are machine learning engineering, predictive modeling for energy operations, and AI product development. Find a role that fits below and apply directly.
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Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. The Data Quality Lead Analyst contributes to efforts to ensure data that is sourced and provisioned meet all required data quality standards. The Data Quality Lead Analyst leads the continuous Data Quality by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation, adoption and communication of Data Quality and Data Quality risk. They collaborate with others to monitor and remediate data concerns.
Responsibilities:
- Supports activities to drive Data Quality measurement, produce Data Quality dashboards and reports, and implement Data Quality strategies to effectively govern data and improve Data Quality
- Ensure adherence to internal Service Level Agreements (SLAs) such as for example reviewing failing DQ metrics (rules results) and error data to determine appropriate next steps within a estimated time period.
- Lead data improvement initiatives, processes, and creation of tools in line with requirements
- Liaise with other areas of the firm to understand data challenges and solutions, and/or run data consumption demand and requirements
- Review quality analysis results and disposition data challenges through Citi’s corresponding Data/Issue management process
- Lead day to day activities to support data quality resolution, and to optimize metrics reporting process
- Report Data Quality issues through Citi’s corresponding Data/Issue management process
- Support senior management strategic vision
- Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency
Recommended Qualifications:
- 6+ years' experience with defining and implementing Data Quality programs, Data Profiling, Data Analysis, Metadata Maintenance, and Data querying a plus; Also Banking or Finance industry preferred
- Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives
- Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
- Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Collaborates effectively by building partnerships and working well with others to meet shared objectives
- Ability to work under pressure, facilitate discussions
Education:
- Bachelor's/University degree, Master's degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group: Data Governance
Job Family: Data Quality & Data Quality Analytics and Reporting
Time Type: Full time
Primary Location: Irving Texas United States
Primary Location Full Time Salary Range: $125,760.00 - $188,640.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Data Governance, Data Management, Data Quality, Data Quality Management, Internal Controls, Needs Assessment, Risk Management Culture.
Other Relevant Skills
Change Management, Data Analysis, Data Lineage, Management Reporting, Program Management, Risk Management.
Anticipated Posting Close Date: jun 29, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
See All 99 Data Science Lead Jobs in Texas
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Find Data Science Lead JobsData Science Lead Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Science Lead Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Humana9

- Apple6

- Citi6

- Tiger Analytics4

- eClerx4

Top Industries Hiring
- Technology & Software32
- Consulting & Professional Services14
- Banking & Financial Services9
- Construction & Real Estate5
- Education5
What Texas Employers Look For
The qualifications that appear most often in data science lead jobs across Texas.
- Bachelor's or master's degree in data science, statistics, computer science, or a closely related field
- Five or more years of applied data science experience, including two or more in a lead or senior role
- Proficiency in Python and SQL with demonstrated experience building and deploying production machine learning models
- Proven ability to lead cross-functional analytics projects and communicate findings to non-technical stakeholders
- Experience with cloud platforms such as AWS, Azure, or Google Cloud and familiarity with MLOps tooling
- Background in a Texas-relevant domain such as energy, financial services, healthcare, or large-scale retail operations
Data Science Lead Jobs in Texas: Frequently Asked Questions
How do you become a data science lead in Texas?
Data science lead roles in Texas do not require a state-issued license or registration, so the path runs through education and demonstrated experience. Most Texas employers expect at least a bachelor's degree in a quantitative field, with a master's degree preferred for lead-level positions. Building a portfolio of end-to-end machine learning projects, contributing to open-source work, and gaining domain knowledge in Texas-dominant industries such as energy, finance, or healthcare significantly strengthens candidacy.
How much do data science leads make in Texas?
Data science leads in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science leads in Texas?
Employers hiring data science leads in Texas right now include Humana, Apple, and Citi, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters, major energy firms, and large regional health systems means demand is spread across multiple industries rather than concentrated in a single sector.
Which Texas cities have the most data science lead jobs?
Austin, Dallas, and Irving have the most data science lead openings in Texas. Austin's dense technology sector and Dell, Apple, and Oracle campuses drive volume there, while Dallas draws heavily from financial services and telecommunications employers, and Houston's energy industry creates consistent demand for data science leads focused on operational analytics and geospatial modeling.
Are there remote data science lead jobs in Texas?
Yes, and more than most fields, because data science lead work is largely analytical and collaborative through digital tooling. About 27% of data science lead openings tied to Texas are remote or hybrid as of June 2026, reflecting how broadly the role lends itself to distributed work. The parts of the role most commonly performed remotely are model development, code review, and stakeholder reporting, while on-site presence is sometimes required for embedded team leadership.
How can I get hired as a data science lead in Texas with little or no experience?
The most realistic entry path is moving into a lead role from a senior data scientist or data analyst position at a large Texas employer, then taking on project ownership incrementally. Companies such as ExxonMobil, USAA, and Texas Health Resources run structured analytics rotational or associate programs that place early-career professionals in data roles with mentorship. Building a public portfolio of end-to-end machine learning projects and earning a recognized credential such as an AWS Machine Learning Specialty certification gives candidates a measurable edge when applying to Texas employers.
Where can I find and apply to data science lead jobs in Texas?
You can find and apply to data science lead jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Find the roles that fit your experience and target industry, then apply directly to the employer through each listing.
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