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Data Services Manager Jobs in Texas (NOW HIRING)

Sagent

Data Services Engineer SR

Austin, TX · On-site

$113K - $136K/yr

Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design, tune, and maintain relational and ...

Sagent

Data Services Engineer SR

Austin, TX

$113K - $136K/yr

Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, or GCP), leveraging managed services for storage, compute, and orchestration. * Design, tune, and maintain relational and ...

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All JobsData Services JobsData Services Manager JobsData Services Manager Jobs in Texas

Data Services Manager information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do data services manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data services 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 is a data services manager?

A Data Services Manager is a professional responsible for overseeing the collection, management, and utilization of data within an organization. They lead teams that develop and maintain data systems, ensure data quality and security, and facilitate data-driven decision-making. Their role often involves collaborating with IT, analytics, and business departments to ensure that data services align with organizational goals. Data Services Managers also establish data policies and best practices, manage data integration projects, and support business intelligence initiatives.

What are the key skills and qualifications needed to thrive as a data services manager?

To thrive as a Data Services Manager, you need strong expertise in data management, analytics, and database administration, typically supported by a degree in information technology or a related field. Familiarity with data warehouse platforms, SQL, cloud services (such as AWS or Azure), and certifications like CDMP or PMP are often required. Leadership, problem-solving, and effective communication are crucial soft skills for managing teams and translating business needs into data solutions. These competencies ensure data integrity, drive informed decision-making, and support organizational goals through efficient data practices.

What are some common challenges a data services manager faces when overseeing cross-departmental data initiatives?

A Data Services Manager often encounters challenges related to aligning various departments’ data needs and priorities. Coordinating data governance, standardization, and quality control across teams can be complex, as each department may use different systems and terminology. Effective communication and stakeholder management are crucial for ensuring smooth data integration and adoption of best practices. Additionally, balancing ongoing support for current data services while implementing new projects requires strong organizational and time management skills.

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

AspectData Services ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often managerial certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentLeads data teams, manages data infrastructure, collaborates with IT and business unitsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across industries for data reporting and insights

The Data Services Manager oversees data infrastructure and team management, focusing on data strategy and operations. In contrast, Data Analysts primarily interpret data, generate reports, and support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and technical oversight, while the analyst role emphasizes data interpretation and reporting.

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

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

What are popular job titles related to Data Services Manager jobs in Texas?

For Data Services Manager jobs in Texas, the most frequently searched job titles are:

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

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

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

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

Data Services Manager jobs near you
Infographic showing various Data Services Manager job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

Senior Manager Data Services - Lima, Peru

Stellus RX

Plano, TX • On-site

Full-time

Re-posted 18 days ago

Job description

Description:

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey. Join our group of talented, committed team members pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible.


The Sr Manager, Data Services for Stellus Rx will help our communities thrive as a key member of the Technology Team. You will work closely with Stellus Rx leaders and across the organization, as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and team members while growing at an accelerated rate.


Accountabilities:

  •  The Senior Manager Data Services plays a pivotal role in shaping our future data asset management capability by facilitating the creation of processes, policies, and standards as well as shaping and laying foundations for the underpinning technologies.
  •  Provides leadership for data integrity, architecture, modeling, security, DR, and performance tuning in a 24x7 environment consisting of cloud-based solutions.
  •  Interact with business stakeholders to understand business strategy, scenarios, gaps, issues, and needs to create relevant data strategies and architectures that lead to positive business outcomes.

Role and Responsibilities: 

  •  Lead a team of Data Services professionals tasked with architecting, developing, and managing our Cloud Analytics Data Platform
  •  Build a modern cloud data stack consisting of Data Lake, Pipelines for ingesting and processing batch and event data, Data warehouses and data linage and cataloging.
  •  Implementation of system improvements and new technologies aimed at data storage, profiling, processing, management, security, and integration into business applications
  •  Understanding of existing business applications to support information and solution architecture
  •  Facilitate the establishment of change management processes to govern data input and maintenance, data stewardship and access control
  •  Work with key stakeholders across the business to develop and manage key master data business processes, ensuring that we collect and maintain accurate information
  •  Develop and own process for evaluating and auditing data quality (establish data quality KPIs, etc.) and providing direction to the business for improvement
  •  Continuously look for data optimization processes and oversee data management, governance, security, and analysis
  •  Maintaining a solid understanding of workflows, data dependencies and translating business, data, and reporting requirements into logical data structures
  •  Hire the best talents, identify the potential of each team member, and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
  •  Ensure test-driven products/pipelines that are easily maintainable and reusable
  •  Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
Requirements:
  • Minimum 5+ years of experience in managing, designing, and maintaining large scale data solutions
  •  Equivalent degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field
  •  Experience managing engineers and guiding them through project planning, design, development, quality control, deployment, and data engineering best practices
  •  Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data
  •  Hands-on experience analyzing, architecting/re-architecting data platforms on Azure/AWS/GCP
  •  Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches
  •  Must have experience designing and architecting data lakes on cloud platforms.
  •  Knowledge of data security best practices and experience building secure data solutions
  •  Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools
  •  Knowledge of operating NoSQL clusters and event data stores
  •  Strong problem-solving, analytical, critical thinking, and troubleshooting skills
  •  Strong knowledge of AWS tools and technologies
  •  Experience building data products incrementally and managing various integrations and resources
  •  Industry expertise in data modeling, data mining, and big data processing at scale
  •  Bilingual in Spanish and English