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Vp Data Science Jobs in Texas (NOW HIRING)

VP, Enterprise Data

Dallas, TX · On-site

$177.82 - $308.23/hr

## VP, Enterprise DataApplylocations: Dallas, TX- HQtime type: Full timeposted on: Posted ... Build and maintain strong relationships with analytics, data science, and senior leaders across all ...

We are seeking a Vice President of Enterprise Data to lead and unify our Enterprise Data ... Build and maintain strong relationships with analytics, data science, and senior leaders across all ...

We are seeking a Vice President of Enterprise Data to lead and unify our Enterprise Data ... Build andmaintainstrong relationships with analytics, data science, and senior leaders across all ...

VP Product

Dallas, TX · On-site

$150 - $200/hr

The VP - Product will work closely with executive leadership, engineering, research, data science, and commercial teams to align product strategy with MeritBey's growth objectives and market ...

We are looking for a Vice President of Data Products & Solutions to lead - and own - one of the ... Bachelor's or Master's in Computer Science, Economics, Business, or a related quantitative field ...

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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:

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.

Vice President, Data Center Asset Management - Texas

Citigroup Inc.

Georgetown, TX • On-site

$107.12 - $160.68/hr

Other

Medical, Retirement, PTO

Posted 16 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

38th of 171 rated banks


Job description

Citigroup Inc. is looking for a VP, Data Center Asset Manager in Georgetown, Texas. This position includes full P&L responsibility for budgets and oversight of data center operations. The successful candidate will manage relationships with site occupants while ensuring compliance with health and environmental standards.

Ideal candidates will possess 3-5 years of strategic real estate experience and strong leadership capabilities. Citi offers a competitive salary range of $107k to $161k, along with a comprehensive benefits package including health coverage, 401(k), and paid time off.

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What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US