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Vice President Machine Learning Jobs in Texas (NOW HIRING)

Stout Risius Ross, LLC

Vice President

Dallas, TX

Seeking a Vice President/Sr. Vice President for our growing Accounting & Reporting Advisory ... To foster employee development we offer ongoing training and learning opportunities, employee ...

Stout Risius Ross, LLC

Vice President

Houston, TX

Seeking a Vice President/Sr. Vice President for our growing Accounting & Reporting Advisory ... To foster employee development we offer ongoing training and learning opportunities, employee ...

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Vice President Machine Learning information

See Texas salary details

$33.1K

$106.9K

$169.1K

How much do vice president machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for vice president machine learning in Texas is $106,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Vice President Machine Learning jobs in Texas? For Vice President Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Vice President Machine Learning jobs in Texas look for? The top searched job categories for Vice President Machine Learning jobs in Texas are:
What cities in Texas are hiring for Vice President Machine Learning jobs? Cities in Texas with the most Vice President Machine Learning job openings:
Vice President Machine Learning jobs near you
AI/ML - Technology & Cybersecurity Risk Management - Vice President

AI/ML - Technology & Cybersecurity Risk Management - Vice President

Chase

Plano, TX

$150K - $188K/yr

Other

Posted 7 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Technology Operational Risk Vice President In Compliance, Conduct And Operational Risk Technology & Cyber

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Technology Operational Risk Vice President in Compliance, Conduct and Operational Risk Technology & Cyber, you will lead oversight of large, complex programs and AI and machine learning systems across the firm. You evaluate technology and cybersecurity practices, identify operational risk and threat exposures, and provide credible challenge to first-line risk mitigation strategies. You partner with technology, risk, and functional stakeholders to strengthen controls and reduce the likelihood of disruption, compliance issues, or security events. You help us drive resilient, responsible adoption of AI and machine learning.

Job responsibilities:

  • Oversee operational risk for the engineering organization developing platforms for AI and machine learning and data serving
  • Lead thematic analysis of existing risks and internal and external events related to AI and machine learning
  • Challenge first-line technology and cyber risk mitigation strategies and execution for AI and machine learning use cases
  • Assess operational and cyber risk of AI and machine learning use for technology and cybersecurity purposes
  • Collaborate with operational risk officers across corporate functions to align on AI and machine learning risk oversight activities

Required qualifications, capabilities, and skills:

  • 10 years of experience in a technology role
  • Strong background in AI and machine learning and the technology used to build AI and machine learning solutions
  • Strong understanding of technology and cyber assessment practices for technology systems
  • Strong understanding of the technology and cyber threat landscape for AI and machine learning and associated mitigations
  • Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals

What JPMorgan Chase & Co. employees say

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