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Data Analytics Director Jobs in Texas (NOW HIRING)

Omnicom

Senior Director, Analytics

Irving, TX · On-site

Data Science and Analytics WHO WE ARE: We are RAPP - world leaders in activating growth with ... As the Senior Director, Analytics, you will serve as the analytics lead and day-to-day team lead ...

Jobtailor

Director, Market Data & Analytics

Austin, TX · On-site

$120 - $180/hr

Partner with Marketing Ops on data-ownership boundaries Requirements * 6+ years in marketing analytics, marketing/revenue operations, or data analytics * Hands‑on with marketing‑measurement ...

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All JobsData Analytics JobsData Analytics Director JobsData Analytics Director Jobs in Texas

Data Analytics Director information

See Texas salary details

$66.1K

$147.3K

$227.8K

How much do data analytics director jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics director in Texas is $147,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $167,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.
What are the most commonly searched types of Data Analytics jobs in Texas? The most popular types of Data Analytics jobs in Texas are:
What are popular job titles related to Data Analytics Director jobs in Texas? For Data Analytics Director jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Director jobs in Texas look for? The top searched job categories for Data Analytics Director jobs in Texas are:
What cities in Texas are hiring for Data Analytics Director jobs? Cities in Texas with the most Data Analytics Director job openings:
Data Analytics Director jobs near you
Infographic showing various Data Analytics Director job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,310 per year, or $70.8 per hour.

IT Data Analytics Director

Apache Corporation

Houston, TX • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: IT Data Analytics Director
Req Id: 12804
Specific Responsibilities
The Director of AI, Data Analytics, Data Engineering, Data Management, and Application Development, located in Houston, TX, is a senior leadership role responsible for overseeing and integrating multiple data-centric functions within the organization. This role ensures the strategic alignment of AI and data initiatives with business objectives, driving innovation, efficiency, and data-driven decision-making across the enterprise.
This role will be primarily responsible to:
  • Develop and execute the enterprise data, analytics, and AI strategy aligned with business objectives, digital transformation priorities, and long-term business value creation.
  • Lead, mentor, and develop multidisciplinary teams spanning data engineering, analytics, data management, AI/ML, digital products, and application delivery.
  • Foster a culture of innovation, collaboration, operational excellence, accountability, and continuous learning across the organization.
  • Partner with business and technology leaders to identify, prioritize, and deliver high-value data and AI initiatives that improve business performance and operational efficiency.
  • Establish and oversee enterprise analytics capabilities that provide actionable insights to support operational, commercial, and strategic decision-making.
  • Define and govern the enterprise data architecture, including cloud data platforms, data integration patterns, and scalable data products.
  • Oversee the design, implementation, and operation of secure, reliable, and scalable data pipelines, data services, and integration capabilities.
  • Develop and maintain policies, standards, and controls that protect the confidentiality, security, integrity, and availability of enterprise information assets.
  • Lead the identification, development, deployment, and governance of artificial intelligence and machine learning solutions that improve operational performance and business outcomes.
  • Establish responsible AI practices including AI governance, model lifecycle management, model risk management, transparency, explainability, and ongoing monitoring.
  • Drive adoption of generative AI capabilities and AI-assisted software development practices to improve productivity and accelerate solution delivery.
  • Evaluate emerging technologies, industry trends, and market developments to identify opportunities for innovation and competitive advantage.
  • Oversee the delivery, support, and lifecycle management of data-driven applications, low-code solutions, digital products, and workflow automation solutions that support business operations.
  • Ensure applications and digital solutions are scalable, secure, maintainable, user-friendly, and aligned with enterprise architecture standards.
  • Develop and manage annual operating plans, budgets, forecasts, and investment strategies within approved financial targets and organizational variance expectations.
  • Monitor technology spending, cloud and AI consumption, software licensing, and operational costs and implement cost optimization and FinOps practices across the portfolio.
  • Manage strategic relationships with technology vendors, service providers, system integrators, and implementation partners.
  • Lead technology evaluations, proof of concepts, contract negotiations, and vendor performance management activities.
  • Ensure alignment between enterprise IT, cloud, cybersecurity, operational technology (OT), and business organizations to support integrated digital capabilities across the enterprise.

Qualifications & Experience
The successful candidate will have the following qualifications and experience:
  • Bachelor's degree in computer science, data science, information technology, or a related field and/or a minimum of 10 years of experience in data analytics, data engineering, data management, data science, or application development.
  • 10 Years of experience in data analytics, data engineering, data management, data science, or application development.
  • At least 3 years of management experience.
  • Excellent leadership, people management, coaching, and team development capabilities.
  • Strong communication, presentation, negotiation, and stakeholder management skills, including interaction with executive leadership.
  • Strategic thinking with the ability to align technology investments and initiatives with business objectives and measurable business outcomes.
  • Strong analytical, critical thinking, and problem-solving capabilities.
  • Strong program, portfolio, project, and financial management skills.
  • Ability to collaborate effectively across business functions, technical organizations, and external partners.
  • Strong attention to detail and commitment to data quality, governance, and operational excellence.
  • Expertise in modern enterprise data architecture, data engineering, and cloud-native data platforms.
  • Experience designing, implementing, and managing scalable data pipelines, data platforms, and enterprise integration architectures.
  • Proficiency with business intelligence, reporting, and analytics platforms such as Power BI, Sigma, or similar technologies.
  • Experience with modern data platforms and technologies such as Snowflake, Databricks, or equivalent cloud-native solutions.
  • Experience with cloud computing platforms including AWS and Azure.
  • Strong understanding of enterprise data governance, metadata management, master data management, data quality, and information lifecycle management principles.
  • Knowledge of cybersecurity, data privacy, regulatory compliance, and information protection requirements applicable to enterprise data environments.
  • Experience implementing and governing artificial intelligence, machine learning, and generative AI solutions within enterprise environments including ChatGPT, Claude, and Copilot.
  • Knowledge of AI governance, model lifecycle management, model risk management, and responsible AI frameworks.
  • Familiarity with AI-assisted software development practices and modern software engineering methodologies.
  • Understanding of DevSecOps, DataOps, MLOps, CI/CD, and cloud operations practices.
  • Experience supporting low-code and workflow automation platforms.
  • Understanding of relational and analytical database technologies such as Oracle, Microsoft SQL Server, and cloud-native analytical databases.
  • Knowledge of cloud cost management, FinOps practices, and technology portfolio optimization.
  • Experience managing technology vendors, software suppliers, system integrators, and strategic technology partnerships.
  • Ability to evaluate emerging technologies and determine business applicability and value.
  • Understanding of operational technology (OT), industrial data management, and enterprise integration challenges in complex industrial environments.
  • Experience in upstream environments is preferred.
  • Demonstrated ability to balance innovation, operational reliability, cybersecurity, and regulatory compliance in large enterprise environments.

Competencies
The successful candidate will lead by example through successfully demonstrating the following:
  • Core Competencies
    • Communication: Writes, speaks, and presents information effectively and persuasively across communication setting;
    • Results: Pursues work with energy, drive, and results orientation to positively impact Apache's business success;
    • Collaboration: Works in partnership with others and encourages different perspectives, while building and maintaining trust; and
    • Culture: Willingness and ability to align one's behavior with the needs, priorities, and goals of Apache.
  • Leadership Competencies
    • Servant Leadership: Inspires and enables performance excellence through feedback, empathy, development and empowerment;
    • Strategic Mindset: Applies business acumen to see the big picture, understand business issues, and exhibit financial stewardship;
    • Change Leadership: Inspires change by challenging the status quo, generating support, and executing improvement projects to achieve business outcomes; and
    • Leading Effective Teams: Enables performance excellence through effective structure, delegation, and motivation.

Company Overview
Our primary product is energy, and where there is affordable, abundant energy, people are healthier, have access to better education, and are given greater opportunities to elevate their families to higher standards of living.
Nearly 3 billion people - roughly one-third of the global population - live without electricity or without clean cooking facilities. We are committed to providing energy in innovative and more sustainable ways to help raise the standard of living for those living in energy poverty and to meet the ongoing demands of people and economies around the world.
The products we deliver power increasingly cleaner electricity across the globe, fuel tractors and trucks, make fertilizer to keep the world's food supply on the table, and heat our schools, hospitals and businesses.
Our employees bring a wide range of talents and skills to the job every day to tackle complex business challenges. We believe in providing a truly rewarding work environment supported by a benefits platform that ranks among the best in our peer group. Our company offers career development opportunities where employees can grow personally and professionally. We promote employee benefits that cultivate a family-friendly work environment and focus on our employees' overall well-being.
We are committed to being a workplace where all employees are valued and can thrive with a sense of belonging. Our commitment to non-discriminatory, equal employment opportunities benefits our individual employees, our company and our external stakeholders; we are better as an organization when various experiences, ideas, and perspectives are brought to the table.
Apache Corporation is a wholly owned subsidiary of APA Corporation (NASDAQ:APA). Apache has operations in the United States, Egypt's Western Desert and the United Kingdom's North Sea and a sister company with exploration opportunities offshore Suriname. Whether supporting Apache, APA Corporation or one of its subsidiaries, team members are employed by Apache Corporation.
For additional information about APA Corporation, please visit:
Portfolio
Sustainability
Investors
www.apacorp.com
Apache Statement on Hiring
To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to base all employment-related decisions and actions exclusively on employment-related criteria. To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to provide broad dissemination of job opportunities, as consistent with the nature of the positions. To provide genuine equal opportunity to all people, it is the policy of Apache Corporation and its subsidiaries to review its employment-related policies and actions on a regular basis to ensure that their application is consistent with their intent.
Equal Employment Opportunity

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