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Ai Manager Jobs in Spring, TX (NOW HIRING)

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

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

Data Analytics and AI Manager

Houston, TX · On-site

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:

Deloitte

Oracle Gen AI Manager

Houston, TX

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Deloitte

Finance Analytics & AI Manager

Houston, TX

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Pwc

Finance Data and AI Manager

Houston, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Finance Management Level Manager & Summary The Opportunity As a Finance Data and AI Manager, you will play a pivotal role within our Finance practice ...

Cracker Barrel

Restaurant Manager

Elkhart, IN · On-site

We strive to provide our managers with the right resources and tools to make serving up care for others possible. * Opportunities to fill your cup - Essential to the growth and development learning ...

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Ai Manager information

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

What are the most commonly searched types of Ai jobs in Spring, TX? The most popular types of Ai jobs in Spring, TX are:
What are popular job titles related to Ai Manager jobs in Spring, TX? For Ai Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ai Manager jobs in Spring, TX look for? The top searched job categories for Ai Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Manager jobs? Cities near Spring, TX with the most Ai Manager job openings:
Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Spring, TX as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Data Analytics and AI Manager

Smartbridge

Houston, TX • On-site

Full-time

Re-posted 3 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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