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Data Solutions Manager Jobs in Texas (NOW HIRING)

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... Builds and manages relationships throughout the organization. Provides guidance and mentoring to ...

AmeriVet

AI/Data Solutions Architect

San Antonio, TX · On-site

... management, model selection, token optimization, and cost control. • Help define scalable, secure ... solution patterns. • Support AI governance practices including responsible usage, data privacy ...

Meta

Client Solutions Manager

Austin, TX · Remote

$112K/yr

Success in this position requires data and analytical skills that allow the individual to translate ... Client Solutions Manager Responsibilities: * Act as a product & insights expert to identify and ...

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All JobsData Solutions JobsData Solutions Manager JobsData Solutions Manager Jobs in Texas

Data Solutions Manager information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do data solutions manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data solutions manager in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 per year, depending on experience, location, and employer.

What does a Data Solutions Manager do?

A Data Solutions Manager oversees the design, development, and implementation of data-driven solutions within an organization. They work closely with teams to ensure data systems meet business needs, manage data projects, and coordinate between technical and business stakeholders. Their responsibilities typically include leading data strategy, ensuring data quality and security, and driving innovation through effective data utilization. This role requires strong leadership, technical expertise, and a deep understanding of how data can support business objectives.

What are the key skills and qualifications needed to thrive as a Data Solutions Manager, and why are they important?

To thrive as a Data Solutions Manager, you need expertise in data management, analytics, and project leadership, usually backed by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are highly valued. Strong communication, problem-solving, and stakeholder management skills help you translate business needs into effective data solutions. These skills are essential for delivering scalable, secure, and actionable data systems that drive organizational success.

What are the typical challenges faced by a Data Solutions Manager when implementing new data systems across multiple departments?

A Data Solutions Manager often encounters challenges such as aligning the differing data needs and priorities of various departments, ensuring seamless integration of new systems with existing infrastructure, and managing data security and compliance requirements. Effective communication and stakeholder management are crucial, as the role requires translating technical solutions into actionable strategies for non-technical teams. Additionally, balancing project timelines with resource constraints and fostering user adoption through training and support are common responsibilities that require strong leadership and organizational skills.

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

AspectData Solutions ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related fields; certifications like CDMP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentLeads teams, collaborates with stakeholders, manages data projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare companies for data strategyCommon across various industries for data interpretation

The Data Solutions Manager focuses on overseeing data projects, managing teams, and aligning data strategies with business goals. In contrast, a Data Analyst primarily interprets data, creates reports, and supports decision-making. Both roles require strong analytical skills and data knowledge, but the manager role involves leadership and strategic planning, while the analyst role emphasizes data analysis and reporting.

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

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

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

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

Data Solutions Manager jobs near you
Infographic showing various Data Solutions Manager job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

AI and Data Solutions Manager

Murata Electronics North America

Carrollton, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality - from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics. Our past innovations drive today's technology - and our present innovations are shaping tomorrow's.

Whatever the future holds, you can be sure that Murata will be a part of it.

Why Consider This Job Opportunity

The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes.

This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.

Workplace Policy

Hybrid from Atlanta, GA or Carrollton, TX  

What To Expect (Essential Job Responsibilities)
  • Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
  • Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
  • Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
  • Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
  • Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
  • Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
  • Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
  • Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
  • Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.
Miscellaneous Job Responsibilities
  • Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
  • Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
  • Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
  • Support special projects, department initiatives, and other duties as assigned.
What Is Required (Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
  • 5+ years of experience designing, developing, and deploying production-grade AI/ML applications, predictive models, and intelligent automation solutions using Python, including integration with LLMs, APIs, and MCP enabled tools or services.
  • 3+ years of hands-on experience or technical leadership in data engineering, including designing and operating utilizing AWS, Snowflake, and SQL based data services to support analytics and AI/ML workloads.
  • Experience working within enterprise standards for security, data governance, access controls, auditability, and responsible technology use.
  • Experience leading or coordinating cross-functional technical initiatives from requirements gathering through implementation, adoption, and ongoing support.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Strong analytical, problem-solving, documentation, communication, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders.
How To Stand Out (Preferred Qualifications)
  • Master's degree or professional certification in related technology, analytics, cloud, or AI discipline.
  • Experience leading development teams, cross-functional project teams, or technology initiatives.
  • Experience with designing and developing Agentic AI applications.
  • Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities.
  • Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs.
  • Experience supporting AI adoption and organizational enablement programs.
  • Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management.
  • Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains.
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Imagine the possibilities as a member of Murata's innovative global team.

                                                                Be an innovator - Join Murata!                                                                  
    Murata offers competitive compensation and comprehensive benefits.
    Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans

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