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Vice President Machine Learning Jobs in Spring, TX

Vice President - Research

Houston, TX · On-site

$150 - $200/hr

## Vice President - ResearchApplyremote type: Hybridlocations: Houston, UStime type: Full timeposted ... and machine-learning-enhanced offerings across crude, oil products, and NGLs, bringing subject ...

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 ...

Curious - we turn knowledge into action Vice President, Head of Americas Oil Markets Role ... and machine-learning-enhanced offerings across crude, oil products, and NGLs, bringing subject ...

Vice President, Training Located: Houston Summary We are seeking qualified applicants for the ... Define and implement a Learning Framework that integrates digital learning, simulators, and real ...

Curious - we turn knowledge into action Vice President, Head of Americas Oil Markets Role ... and machine-learning-enhanced offerings across crude, oil products, and NGLs, bringing subject ...

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Showing results 1-20

Vice President Machine Learning information

See Spring, TX salary details

$31.6K

$102.1K

$161.5K

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

As of Sep 8, 2026, the average yearly pay for vice president machine learning in Spring, TX is $102,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $127,300.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a vice president of machine learning?

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 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 Spring, TX?

The most popular types of Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for Vice President Machine Learning jobs?

Cities near Spring, TX with the most Vice President Machine Learning job openings:

Infographic showing various Vice President Machine Learning job openings in Spring, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $102,095 per year, or $49.1 per hour.

VP, Decision Sciences

Spring, TX • Hybrid

Hewlett Packard Enterprise Development LP
IT Services • 10K+ employees

Full-time

Posted 8 days ago


Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

VP, Decision SciencesThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

We are seeking a visionary analytics leader to transform how data drives decision-making across a large global sales organization. This is a strategic leadership role responsible for advancing the reporting, analytics, decision sciences, and AI capabilities supporting HPE's Global Sales organization. Reporting directly to the SVP of Global Sales Strategy & Operations., this executive will lead a team of approximately 100 professionals responsible for business intelligence, analytics, data architecture, and decision-support capabilities. At a time of significant transformation across HPE Sales, this role will establish the measurements, insights, and analytical capabilities required to improve business performance, seller productivity, and management decision-making.

A key responsibility for this role will be partnering with IT and the Data Governance Office to expand HPE's Sales Data Lake and establish a trusted,
governed, and accessible data foundation for reporting, analytics, automation, and AI.

You'll be providing guidance and strategic vision across:

  • Sales Measurement: Enable the operational deployment of critical metrics, business definitions, and performance management frameworks used to operate the Global Sales organization.

  • Reporting and Business Insights: Delivering executive scorecards, dashboards, and actionable insights that identify performance trends, risks, opportunities, and recommended actions.

  • Reporting Automation: Simplifying and automating recurring reporting while reducing manual activity, duplication, and inconsistent data interpretation.

  • Advanced Analytics and Decision Sciences: Applying predictive modeling, machine learning, optimization, and scenario analysis to forecasting, pipeline performance and supporting the availability of advanced insights for segmentation, territory design, capacity, productivity, and investment decisions.

  • AI and Sales Experience: Leading and partnering on AI-enabled initiatives that improve Sales Operations, selling systems, seller productivity, and management decision-making.

  • Sales Data Strategy: Partnering with IT and the Data Governance Office to expand the Sales Data Lake, improve data integration and quality, and develop reusable Sales data products.

  • Data Governance: Establishing ownership, stewardship, definitions, lineage, quality standards, and controls for critical Sales data and metrics.

  • Organizational Leadership: Building and leading a globally integrated team across reporting, business intelligence, advanced analytics, and data science.

Driving strategic goals of the organization to successful completion:

  • Establish a consistent and trusted measurement framework for Global Sales.

  • Improve the quality, speed, and actionability of Sales insights.

  • Automate and simplify core reporting and expand governed self-service analytics.

  • Advance predictive and prescriptive decision support for Sales leaders.

  • Apply data science to improve forecasting, productivity, and business predictability.

  • Partner across HPE to identify and scale high-value AI and Sales Experience capabilities.

  • Expand the Sales Data Lake as the governed foundation for reporting, analytics, automation, and AI.

  • Build a world-class GTM Intelligence and Decision Sciences organization

Key stakeholders include Geo & BU Global Sales Leadership, Global Sales Strategy & Operations, Sales Experience and Transformation, Information Technology, the Data Governance Office, Data and AI teams, Finance, Marketing, Channel, Customer Success, and Business Unit leadership. This role will typically influence across Director, Vice President, Senior Vice President, and Executive Vice President-level stakeholders

Experience and Skills

  • Extensive experience in Sales Operations, Revenue Operations, Business Intelligence, Decision Sciences, Data Science, AI, management consulting, or related disciplines.

  • Proven experience leading global reporting, analytics, data, or decision-sciences organizations and transformation programs.

  • Strong understanding of global Sales processes, including planning, pipeline management, forecasting, segmentation, territories, productivity, and performance management.

  • Demonstrated ability to define enterprise measurements and executive-management reporting frameworks.

  • Experience modernizing and automating complex reporting and analytics environments.

  • Experience applying advanced analytics, predictive modeling, machine learning, and AI to business challenges.

  • Demonstrated ability to lead through partnership where responsibility for AI, data, technology, and transformation is distributed across multiple organizations.

  • Experience partnering with IT and Data Governance teams on data lakes, data platforms, data products, data quality, and governance.

  • Excellent communication, influencing, executive-presence, and stakeholder-management skills.

  • Proven ability to translate complex analytical and technical concepts into clear business decisions and actions.

  • Experience leading large, complex programs and globally distributed teams.

  • Strong strategic-management, prioritization, financial-planning, and talent-development skills.

  • Advanced university degree, such as an MBA or graduate degree in a relevant discipline, or demonstrable equivalent experience

  • Strong understanding of the company's policies, processes, controls, and operating environment.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#sales

Job:

Business Planning

Job Level:

Vice PresidentThe expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 224,000 - 448,000 in Massachusetts // 224,000 - 492,500 in California // 224,000 - 492,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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