Data Science Director Jobs in Texas
Data Science Director jobs in Texas are among the most active in the country, with concentrated demand in enterprise technology, financial services, energy, and healthcare across a market that ranges from early-career analytics leads to seasoned chief-level executives. Austin, Houston, and Dallas are the primary hiring hubs, anchored by employers such as Dell Technologies, ExxonMobil, and American Airlines, all of which maintain large data and analytics organizations in the state. The most in-demand specialties include machine learning platform leadership, healthcare analytics, and cloud-native data infrastructure strategy. Find a role that fits below and apply directly.
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INTRODUCTION
We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
Director, Marketing Data Science Responsibilities:
- Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
- Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
- Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
- Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
- Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
- Community & Thought Leadership: Amplify the impact of Meta’s Analytics community through blog contributions, paid media strategies, and recruiting initiatives.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master’s degree preferred
- 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
- Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
- Experience leading the building of statistical/computational tools in support of marketing functions
- Advanced knowledge of marketing analytics, survey design, and statistical methods
- Very comfortable personally using AI tools and transforming organizations to be AI-Native
- Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
- Excellent stakeholder management and communication skills, with experience presenting to executive leadership
PREFERRED QUALIFICATIONS
- Previous experience in Public Affairs Marketing or Public Opinion Polling
- 3+ years in Corporate Communications Analytics (e.g. social listening)
- Expertise in high-frequency measurement models, campaign optimization, and real-time reporting
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
Director, Marketing Data Science Responsibilities:
- Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
- Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
- Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
- Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
- Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
- Community & Thought Leadership: Amplify the impact of Meta’s Analytics community through blog contributions, paid media strategies, and recruiting initiatives.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master’s degree preferred
- 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
- Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
- Experience leading the building of statistical/computational tools in support of marketing functions
- Advanced knowledge of marketing analytics, survey design, and statistical methods
- Very comfortable personally using AI tools and transforming organizations to be AI-Native
- Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
- Excellent stakeholder management and communication skills, with experience presenting to executive leadership
PREFERRED QUALIFICATIONS
- Previous experience in Public Affairs Marketing or Public Opinion Polling
- 3+ years in Corporate Communications Analytics (e.g. social listening)
- Expertise in high-frequency measurement models, campaign optimization, and real-time reporting
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 50 Data Science Director Jobs in Texas
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Find Data Science Director JobsData Science Director Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Science Director Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Capital One4
- Alvarez & Marsal3
- Texas A&M University3
- CVS Health2
- Meta2
Top Industries Hiring
- Technology & Software14
- Consulting & Professional Services8
- Education6
- Investment & Asset Management4
- Accounting & Auditing3
What Texas Employers Look For
The qualifications that appear most often in data science director jobs across Texas.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Seven or more years of progressive data science experience including team leadership
- Demonstrated experience building and managing data science teams of five or more people
- Proficiency in Python, R, or SQL alongside cloud platforms such as AWS, Azure, or GCP
- Experience translating data science outputs into measurable business outcomes for executive stakeholders
- Familiarity with Texas-based industry verticals such as energy, healthcare, or financial services preferred
Data Science Director Jobs in Texas: Frequently Asked Questions
How do you become a data science director in Texas?
Becoming a data science director in Texas does not require a state-issued license, but employers consistently expect a graduate degree in a quantitative field such as statistics, computer science, or applied mathematics alongside substantial hands-on experience. The most common path runs through senior data scientist or analytics manager roles at large Texas employers in energy, healthcare, or technology, where candidates build cross-functional leadership experience, develop proficiency with enterprise cloud platforms, and demonstrate measurable business impact before moving into director-level positions.
How much do data science directors make in Texas?
Data science directors 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 directors in Texas?
Employers hiring data science directors in Texas right now include Capital One, Alvarez & Marsal, and Texas A&M University, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters, major health systems, and energy companies means director-level data science roles appear across a wide range of industries beyond pure technology.
Which Texas cities have the most data science director jobs?
Austin, Dallas, and Plano have the most data science director openings in Texas. Austin's dense technology and startup ecosystem drives the highest concentration of pure analytics leadership roles, while Dallas benefits from its financial services and telecommunications headquarters and Houston's demand is shaped largely by energy companies and the Texas Medical Center, one of the largest medical complexes in the world.
Are there remote data science director jobs in Texas?
Yes, and more than most fields. About 32% of data science director openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and analytical nature of the role. Strategic planning, model oversight, and executive reporting functions travel well remotely, though roles that involve managing embedded data teams inside Texas operations tend to require regular on-site presence.
How can I get hired as a data science director in Texas with little or no experience?
The most realistic entry path is moving into a senior data scientist or analytics manager role first and building upward from there. Large Texas employers such as major health systems in the Texas Medical Center and enterprise technology firms in Austin and Dallas regularly hire into senior individual contributor roles that carry informal leadership responsibilities, creating a natural pipeline to director titles. Earning a cloud certification on AWS or Azure and building a portfolio of projects with demonstrable revenue or cost impact gives candidates a concrete edge when competing for that first leadership step.
Where can I find and apply to data science director jobs in Texas?
You can find and apply to data science director jobs in Texas on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience level and target industry, then apply directly to the ones that fit.
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