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Data Operations Director Jobs in Houston, TX (NOW HIRING)

Blue Star Families

Operations Director

Sugar Land, TX · On-site

$140K - $261K/yr

The Director of Business Performance & Operations is a key leadership role responsible for ensuring ... CRM data integrity Business Operating Cadence - Lead weekly, monthly, and quarterly business ...

Mace

Data Centre Director - Remote

Houston, TX · Hybrid

Provides input to the Data Strategy and owns the translation of this strategy into a clear roadmap of delivery projects. * Responsible for organisation wide data improvement activities, mobilising ...

Baker Hughes

DCF Central Fulfilment Leader

Houston, TX · On-site

Have experience working with SAP, planning systems, manufacturing systems, asset management tools, and operational dashboards. * Have strong analytical and data-driven decision-making skills with the ...

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All JobsData Operations JobsData Operations Director JobsData Operations Director Jobs in Houston, TX

Data Operations Director information

See Houston, TX salary details

$49.7K

$122.7K

$191K

How much do data operations director jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data operations director in Houston, TX is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $156,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Operations Director, and why are they important?

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

What are the most commonly searched types of Data Operations jobs in Houston, TX? The most popular types of Data Operations jobs in Houston, TX are:
What job categories do people searching Data Operations Director jobs in Houston, TX look for? The top searched job categories for Data Operations Director jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Operations Director jobs? Cities near Houston, TX with the most Data Operations Director job openings:
Data Operations Director jobs near you
Infographic showing various Data Operations Director job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

IT Data Analytics Director

Apache Corporation

Houston, TX • On-site

Full-time

Re-posted 12 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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