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Data Ai Manager Jobs in Texas (NOW HIRING)

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area) Employment Type: Full-Time, Hybrid About Smartbridge:

Data/AI Lead Location: Houston TX - 3 days /week Duration: Direct Hire / Full time role SUMMARY OF ... Experience in managing multiple, large, cross-functional teams or projects, and influencing senior ...

Data & AI Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking a Data & AI Solutions Engineer to design, build, and scale enterprise-grade data and ... Familiarity with application security, identity management, testing, debugging, and software ...

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Data Ai Manager information

What is the difference between Data Ai Manager vs Data Analyst?

AspectData Ai ManagerData Analyst
Required CredentialsBachelor's or higher in Data Science, AI, or related fields; certifications in AI/MLBachelor's in Data Science, Statistics, or related fields; often no specialized certifications required
Work EnvironmentLeads AI projects, collaborates with data science and engineering teams, strategic planningAnalyzes data sets, generates reports, supports decision-making
Employer & Industry UsageTech companies, AI-focused firms, large enterprises implementing AI solutionsVarious industries including finance, marketing, healthcare, and retail

The Data Ai Manager oversees AI initiatives, requiring strategic and technical leadership, while the Data Analyst focuses on data interpretation and reporting. Both roles require strong analytical skills, but the manager's role is more strategic and leadership-oriented, often involving AI-specific knowledge.

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

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

What job categories do people searching Data Ai Manager jobs in Texas look for?

The top searched job categories for Data Ai Manager jobs in Texas are:

What cities in Texas are hiring for Data Ai Manager jobs?

Cities in Texas with the most Data Ai Manager job openings:

Infographic showing various Data Ai Manager job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Data Analytics and AI Manager

Smartbridge

Houston, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Data Analytics and AI Manager – Full-Time, Hybrid (Houston, TX)
Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area)
Employment Type: Full-Time, Hybrid
About Smartbridge:
Smartbridge is a U.S.-based technology consulting firm dedicated to transforming businesses through innovative solutions and digital modernization. As a trusted partner to our clients, we deliver impactful results across key industries such as Energy, Life Sciences, and Food & Beverage.
Position Summary:
We are seeking a hands-on Data Analytics and AI Manager to lead the delivery of data and AI-driven projects across Smartbridge's client base. While this role will support clients across all of Smartbridge's industries, a significant portion of the work will center on our Energy clients, so Oil & Gas experience is strongly preferred. This role owns technical delivery from architecture through implementation, working directly in the platforms our clients run on — Microsoft Fabric, Azure Databricks, and the broader Azure data and AI ecosystem. The ideal candidate is comfortable staying hands-on with delivery rather than purely managing from a distance, and can translate business requirements into scalable, production-ready data and AI solutions across a range of industries.
Key Responsibilities:
  • Deliver data and analytics engagements across Smartbridge's full client portfolio — spanning Energy, Life Sciences, and Food & Beverage
  • Lead end-to-end delivery of data and analytics engagements, including implementations built on Microsoft Fabric, Azure Databricks, and Azure AI/ML services
  • Architect high-performing, end-to-end cloud (and on-premise) data and analytics solutions, including AI/ML solutions
  • Oversee the design, development, implementation, and maintenance of enterprise data architecture using Agile methodology and the software development lifecycle
  • Drive business requirement gathering and review sessions to develop effective data integrations, applying both data expertise and industry knowledge
  • Promote data sharing, consistency, and reusability across the organization; ensure data quality across all project phases
  • Collaborate with business units and data owners to implement and maintain enterprise-level business analytics and data warehousing solutions
  • Identify and promote best practices for data modeling across business units and information domains
  • Ensure operational and analytical data warehouses support business reporting needs; establish standards for data governance and consistency
  • Execute technical feasibility assessments, solution estimation, and proposal development for data and analytics opportunities
  • Develop functional and technical designs for client solutions, staying hands-on through delivery rather than delegating execution entirely
  • Lead and mentor small to mid-sized delivery teams on cloud data and analytics migrations and implementations in enterprise environments
  • Manage project scope, timeline, budget, risk, and client communications for assigned engagements
  • Serve as the primary point of contact for client reporting and stakeholder communication
  • Document and share technical best practices with clients and the Smartbridge community, contributing to our internal IP repository
  • Strategize, plan, and support business development related to data and analytics opportunities, including client-facing presentations
  • Maintain and grow client relationships, bringing forward ideas that help clients improve business performance

Qualifications:
  • 5+ years of experience delivering data, analytics and AI solutions.
  • 3-5+ years direct Oil and Gas experience required in Upstream or Midstream. Medical Device Manufacturing experience will also be considered.
  • Strong industry business acumen with a solid understanding of the Upstream, Midstream, or Medical Device Manufacturing business value chain.
  • Hands-on experience with Microsoft Fabric and Azure Databricks required
  • Strong background in Azure data platform tools (Data Factory, Synapse, Azure SQL, or similar)
  • Working knowledge of AI/ML solution design and implementation on Azure
  • Proven experience managing and staying technically hands-on in data project delivery (not purely oversight)
  • Strong understanding of Agile delivery methods and the software development lifecycle
  • Excellent communication, stakeholder management, and client-facing skills
  • Bachelor's degree in Computer Science, Data Science, Business, or a related field
  • PMP certification required
  • Candidates who do not meet these minimum requirements will not be considered.

Additional Requirements:
  • Hybrid role based in Houston, TX (Energy Corridor); regular onsite presence required for client and team collaboration
  • Reasonable commuting distance required; relocation assistance is not available

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