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Ai Manager Jobs in Texas (NOW HIRING)

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Industry/Sector Not Applicable Specialism Finance Management Level Manager & Summary The Opportunity As a Finance Data and AI Manager, you will play a pivotal role within our Finance practice ...

Industry/Sector Not Applicable Specialism Finance Management Level Manager & Summary The Opportunity As a Finance Data and AI Manager, you will play a pivotal role within our Finance practice ...

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Showing results 1-20

Ai Manager information

See Texas salary details

$21.1K

$90.7K

$171.1K

How much do ai manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai manager in Texas is $90,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,368.00 and $125,319.00 per year, depending on experience, location, and employer.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI and machine learning projects. Developing skills in programming languages like Python, understanding AI tools and frameworks, and obtaining relevant certifications can enhance qualifications. Leadership and project management skills are also important for overseeing AI teams and initiatives.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis can earn higher compensation, often supplemented with bonuses and stock options.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, ensure project goals align with business objectives, and often require knowledge of machine learning tools and programming languages. Their role involves strategic planning, resource management, and ensuring ethical AI practices.

What are the most commonly searched types of Ai jobs in Texas?

The most popular types of Ai jobs in Texas are:

What are popular job titles related to Ai Manager jobs in Texas?

For Ai Manager jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Ai Manager jobs?

Cities in Texas with the most Ai Manager job openings:

Infographic showing various Ai Manager job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $90,738 per year, or $43.6 per hour.

AI Manager - Product Management

Diamondback Energy, Inc.

Midland, TX • On-site

$180 - $260/hr

Other

Posted 9 days ago


Diamondback Energy rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

9th of 87 rated oil and gas companies


Job description

AI Manager - Product Management

This role leads and develops AI Product Owners, establishes consistent product discovery and management practices, and ensures products are grounded in clearly defined business problems, user needs, success measures, and value hypotheses. Serving as a primary connection between business stakeholders and AI delivery teams, the manager drives disciplined discovery, rapid validation, product definition, business acceptance, adoption, and continuous improvement across the AI portfolio.

Job Responsibilities
  • Lead, coach, and develop AI Product Owners and product professionals
  • set clear expectations for product judgment, discovery rigor, product definition, stakeholder engagement, and outcome accountability, and hold consistent standards for product quality and product management discipline across the team
  • Partner with business leaders, the AI Portfolio Lead, and AI leadership to translate prioritized enterprise opportunities into product strategies, roadmaps, requirements, and prioritized delivery plans
  • Ensure every AI product has a clearly defined business problem, target users and workflows, success measures, requirements, acceptance criteria, value hypothesis, and accountable business sponsor before progressing through significant investment, working with business sponsors, the AI Value & Economics Lead, and the AI Portfolio Lead to confirm the supporting evidence
  • Establish and scale AI-native validation practices across the product lifecycle, from rapid prototyping, workflow simulation, data exploration, user testing, and vendor evaluation during discovery, through business validation and user acceptance testing against defined user needs, acceptance criteria, and expected business outcomes
  • Identify and manage product-level dependencies, delivery risks, and barriers to value realization across business and technology teams
  • Drive sustained adoption of AI products by partnering with business leaders, change management, training, and enablement teams, and hold Product Owners accountable for post-launch adoption, product performance, and continuous improvement using user feedback, usage data, business outcomes, and value realization insights
  • Communicate portfolio performance, risks, investment needs, and realized value to senior leadership
  • Establish and continuously improve Diamondback's AI product management standards, methods, tools, and templates while preserving flexibility across products and business domains and build product management capability across the organization so business stakeholders understand their role in problem definition, product decisions, validation, adoption, and value realization
Required Qualifications
  • Bachelor’s degree in Business, Engineering, Management Information Systems, or a related field
  • 10+ years of experience in product management, product leadership, digital delivery, or a related function within a technology-intensive, enterprise environment
  • 5+ years of people management experience, with a demonstrated ability to develop high-performing teams
  • Experience leading an enterprise product portfolio with multiple concurrent products or initiatives
  • Experience developing product strategies, roadmaps, business cases, and prioritization frameworks
  • Demonstrated ability to balance strategic direction, delivery execution, stakeholder needs, and governance requirements
  • Experience establishing and managing KPIs to measure product and portfolio outcomes
Preferred Qualifications
  • Experience in oil and gas, energy, or another asset-intensive industrial sector
  • Experience deploying generative AI, machine learning, or advanced analytics products in production environments
  • Working knowledge of AI lifecycle management, responsible AI practices, and enterprise product operating models
  • Experience establishing or scaling a product management function, portfolio governance model, or AI product capability
  • Experience applying AI-enabled tools and rapid prototyping techniques during product discovery and solution validation

Diamondback Energy is an independent oil and natural gas company headquartered in Midland, Texas focused on the acquisition, development, exploration, and exploitation of unconventional, onshore oil and natural gas reserves in the Permian Basin in West Texas.

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law.

Diamondback participates in E-Verify. Learn more about E-Verify.

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