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Data Hub Jobs (NOW HIRING)

Bureau Veritas

Texas Job Summary Bureau Veritas is seeking a strategic and people-focused Regional AI & Data Hub Manager to lead one of our regional AI delivery hubs. In this role, you will partner with business ...

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

Define and operate the hub-and-spoke operating model that pairs centralized standards with embedded data partnership across business units and functions. * Hire, onboard, and develop the full data ...

Lnw

Head of Data

Las Vegas, NV · On-site

Define and operate the hub-and-spoke operating model that pairs centralized standards with embedded data partnership across business units and functions. * Hire, onboard, and develop the full data ...

TiTANS Consulting

WI · On-site

U fungeert als brug tussen data providers (IT, Data Hub, Operations) en data gebruikers (AML/Compliance teams), waarbij technische oplossingen worden afgestemd op zakelijke behoeften en strikte data ...

LAM RESEARCH Corporation

Data Architect

Fremont, CA · On-site

$69.75 - $89.75/hr

Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement. * Offer guidance and insights on emerging data ...

Lam Research Corporation

Data Architect

Fremont, CA · On-site

$69.75 - $89.75/hr

Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement. * Offer guidance and insights on emerging data ...

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$46K

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How much do data hub jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data hub in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data hub?

A Data Hub is a centralized platform or system that collects, integrates, manages, and distributes data from various sources across an organization. It acts as a single point of access for data users, making it easier to share, govern, and consume data efficiently. Data Hubs are commonly used to break down silos, ensure data consistency, and support analytics, reporting, and business intelligence initiatives. They differ from data warehouses or data lakes by focusing on integration and accessibility rather than just storage or analytics.

What are some common challenges faced by professionals working in data hub roles, and how are they typically addressed?

Professionals in Data Hub roles often encounter challenges related to integrating data from multiple sources, ensuring data quality, and maintaining data security. These challenges are typically addressed by implementing standardized data governance practices, using advanced ETL (Extract, Transform, Load) tools, and collaborating closely with IT, data engineering, and business teams. Regular data audits and adopting robust access controls also help ensure that data remains accurate and secure. Staying up to date with evolving technologies and best practices is key to overcoming these hurdles.

What are the key skills and qualifications needed to thrive as a data hub specialist, and why are they important?

To thrive as a Data Hub Specialist, you need a strong foundation in data management, integration techniques, and database querying, often supported by a degree in computer science or information systems. Familiarity with ETL (Extract, Transform, Load) tools, data warehousing platforms, and cloud technologies like Azure or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with stakeholders to ensure data accuracy and accessibility. These skills and qualities are vital for maintaining reliable data flows and supporting informed business decisions across the organization.

What is the difference between Data Hub vs Data Analyst?

AspectData HubData Analyst
Required CredentialsTypically requires data management certifications, knowledge of data integration toolsOften requires a degree in statistics, data science, or related fields
Work EnvironmentWorks with data infrastructure, integration, and storage systemsFocuses on analyzing data, creating reports, and providing insights
Employer & Industry UsageUsed in organizations managing large data ecosystems, tech, finance, healthcareCommon in business, marketing, finance, and consulting sectors

While both roles involve working with data, a Data Hub primarily manages data infrastructure and integration, ensuring data flows smoothly across systems. A Data Analyst focuses on interpreting data, generating reports, and providing insights to support decision-making. Understanding these differences helps organizations assign the right roles for their data needs.

What do data hubs do?

A data hub is a centralized platform that consolidates, integrates, and manages data from multiple sources to ensure consistent and accessible information across an organization. Data hub specialists often work with data integration tools, databases, and data governance practices to improve data quality and support analytics efforts.
More about Data Hub jobs

What job categories do people searching Data Hub jobs look for?

The top searched job categories for Data Hub jobs are:

Data Hub jobs near you
Infographic showing various Data Hub job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Regional AI & Data Hub Manager

On-site

Bureau Veritas
Manufacturing • 10K+ employees
Learn more about Bureau Veritasexternal

Full-time

Re-posted 14 days ago

Bureau Veritas rating

8.1

Company rating: 8.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

A WORLD LEADER IN TESTING, INSPECTION & CERTIFICATION SERVICES

Bureau Veritas offers dynamic, exciting employment opportunities with an attractive salary/benefit package and an opportunity to play a vital role with a global organization. If you would enjoy working in a dynamic environment and are looking for an opportunity to become part of a stellar team of professionals, we invite you to apply online today.

Bureau Veritas is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, citizen status, sexual orientation, gender identity, genetics, status as a protected veteran, or any other non-job-related characteristics.

This position is responsible to ensure equal opportunity in employment in that all persons are treated equally and on the basis of merit, in decisions regarding selection, placement, promotions, training, work assignments, transfers and other personnel actions.

City: Houston 

State: Texas

Job Summary

Bureau Veritas is seeking a strategic and people-focused Regional AI & Data Hub Manager to lead one of our regional AI delivery hubs. In this role, you will partner with business leaders to identify high-value opportunities, drive AI-enabled transformation initiatives, and lead a multidisciplinary team responsible for delivering scalable AI, data, and automation solutions.

You will oversee the full lifecycle of AI solutions, from demand prioritization and delivery to adoption, value realization, and continuous improvement. Working closely with technical leaders, you will ensure solutions are aligned with enterprise standards while delivering measurable business impact.

Core Accountabilities
  • Partner with stakeholders to identify and prioritize AI-driven business opportunities.
  • Lead a regional portfolio of AI, data science, automation, and digital transformation initiatives.
  • Build, coach, and lead a high-performing team of AI, data, and engineering professionals.
  • Drive adoption of AI solutions and ensure measurable business value.
  • Collaborate with technical leaders to ensure scalable, secure, and enterprise-aligned solutions.
  • Foster innovation, continuous improvement, and a culture of experimentation.
Profile
  • Experience leading AI, data, digital, or technology teams in a complex enterprise environment.
  • Strong people leadership and stakeholder management skills.
  • Understanding of AI/ML, Generative AI, data science, automation, and digital transformation.
  • Ability to translate business challenges into practical technology solutions.
  • Proven track record of delivering business outcomes through technology and innovation.

If you are passionate about leading teams, driving AI adoption, and transforming how organizations work, we'd love to hear from you.

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If you are an individual with a disability and you would like us to assist you with searching the Careers Page site for employment opportunities and/or assistance with completing your profile and application, please contact us at 1-888-357-7020 or email us with your request to NorthAmericaTA@bureauveritas.com.

We are happy to assist you and encourage you to consider Bureau Veritas for your next great career opportunity!

If you would like additional information regarding Bureau Veritas' federal obligations in regards to equal employment opportunity, please click the link below:

https://www.dol.gov/agencies/ofccp/posters

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