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Vp Data Science Jobs in Texas (NOW HIRING)

Marlabs

VP of Strategic Services

Dallas, TX · On-site

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... data, and staffing engagements. You are equally comfortable engaging with C-suite executives ...

Prime Data Centers

VP, Construction

Lockhart, TX · On-site

$150 - $200/hr

About the role The Vice President of Construction reports to the Senior Vice President Product Delivery and is responsible for managing the delivery of data centers from conception through ...

AMC Health

VP, Clinical Operations

Austin, TX · On-site

The VP will partner closely with Medical Directors, Product, Technology, Data Science, and Client Success teams to support program implementation, clinical workflow optimization, and operational ...

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Prime Data Centers

VP, Construction

Lockhart, TX · On-site

About Prime Data Centers Prime Data Centers develops, acquires, and operates data centers for some ... About the role The Vice President of Construction reports to the Senior Vice President Product ...

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All JobsVp Data Science JobsVp Data Science Jobs in Texas

Vp Data Science information

See Texas salary details

$38.7K

$132.7K

$187.3K

How much do vp data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for vp data science in Texas is $132,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $155,100.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

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

The most popular types of Data Science jobs in Texas are:

What are popular job titles related to Vp Data Science jobs in Texas?

For Vp Data Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Vp Data Science jobs in Texas look for?

The top searched job categories for Vp Data Science jobs in Texas are:

Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,724 per year, or $63.8 per hour.

Lead Data Scientist, Healthcare & Population Health (Austin)

CommUnityCare Health Centers

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

CommUnityCare Health Centers is seeking a Principal Data Scientist to lead a data science team focused on population health, care management, and organizational decision-making. You will guide scientific rigor, model validation, and equity in AI solutions, partnering with AI governance and enterprise data teams.

The role emphasizes advanced analytics, cloud data platforms, and reproducible research in a hybrid work setting, reporting to the VP of Data Insights & Innovation.

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