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Data Manager Jobs in Spring, TX (NOW HIRING)

Hp

Manager, Global Database Administration

Spring, TX · On-site

$262K/yr

Direct end-to-end operations of HP's enterprise database portfolio across on-premises data centers ... Manage performance reviews, compensation/promotion nominations (TCP), and career development.

Prodware Solutions

Data Architect

Bellaire, TX

$57.25 - $73.75/hr

The Data Architect''''s role is to ensure high level of data quality across the enterprise through the creation and management of sound data management processes. This individual is responsible for ...

Atria Group LLC

Data Architect

Houston, TX

$61 - $78.25/hr

The role requires an in-depth understanding of data management processes as well as extensive experience in data and document ingestion, and the development of Business Intelligence solutions. This ...

Deloitte

AI Data Engineer - Manager

Houston, TX · On-site

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Wood Plc

Project Information Manager

Houston, TX

$94K - $111K/yr

Supervises a staff of Document Control and Data Management personnel. Oversees the implementation of applications that support the data and document activities on the project from planning to ...

Get Kaizened, Inc.

Data Processing Specialist

Houston, TX · On-site

$23 - $28/hr

This role is crucial in ensuring the accuracy, efficiency, and integrity of our data management processes. If you thrive in a fast-paced environment and have a passion for transforming raw data into ...

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All JobsData Manager JobsData Manager Jobs in Spring, TX

Data Manager information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data manager in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Spring, TX? The most popular types of Data jobs in Spring, TX are:
What job categories do people searching Data Manager jobs in Spring, TX look for? The top searched job categories for Data Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Manager jobs? Cities near Spring, TX with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Spring, TX as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.
Data Architecture & Governance Manager - Global Employer Services Technology

Data Architecture & Governance Manager - Global Employer Services Technology

Deloitte

Houston, TX

Other

Posted 21 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Are you someone who challenges the status quo, acts autonomously, and has experience leading solution and data architecture in broadscale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to influence architecture design in data and analytics / AI products that have a global impact? Are you ready to fulfill your greatest potential and make a significant impact within strategical data management and analytics / AI initiatives? If the answer to all the above questions is "Yes," come join the world's leading professional services firm! If you are prepared and poised to take the next step in your career where you can help lead solution and software architecture decisions that drive direct impact to the Digital footprint of a global business, we want to talk to you.

Work You'll Do

As a Data Architecture and Governance Manager within the business-aligned GES Technology group, you will oversee all aspects of data architecture, data modeling, governance, and operations. You will be responsible for defining the target-state data architecture for data and analytics, enterprise data models and embedding governance practices that improve data quality, compliance, and business value. You will have the opportunity to partner with a team of experienced product owners, product managers and leaders from other key workstreams in the practice and will be supported by a team of experienced practitioners.

  • Define and maintain the enterprise data architecture, data models, standards, and roadmap aligned to business and analytics priorities.
  • Lead the design of scalable, secure, and modern data platforms, including data lakes, warehouses, semantic layers, and integration patterns.
  • Establish and operationalize data governance frameworks covering data ownership, stewardship, metadata, lineage, quality, privacy, retention, and access controls.
  • Partner with business, engineering, security, and analytics leaders to prioritize data domains and enable trusted, high-value data products.
  • Create and enforce architecture principles, reference models, and design standards for structured and unstructured data.
  • Drive master data, reference data, and common data model strategies to improve consistency across systems and reporting.
  • Oversee data quality management, including rules, controls, monitoring, issue remediation, and governance forums.
  • Guide the selection and implementation of data governance, catalog, lineage, and quality tooling.
  • Ensure compliance with regulatory, security, and privacy requirements relevant to data management and usage.
  • Oversee the day-to-day operations of the data architecture and governance team and implement best practices.
  • Develop and enforce data security policies to protect sensitive information and comply with legal and regulatory requirements such as GDPR.
  • Monitor and assess data security risks and vulnerabilities and implement measures to mitigate them.
  • Train and develop your team of data professionals.

The Team

At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
  • 5+ years of experience in data architecture, data management, or enterprise data leadership roles.
  • Demonstrated experience in data management consulting or industry roles, with a focus on master data management (MDM), data governance, metadata, data architecture, data quality, data modeling, and data standards
  • Hands-on implementation experience with leading data management platforms such as Informatica (MDM, 360, Data Catalog) and/or Reltio (Multi-domain MDM, Intelligent 360, advanced data models) and /or cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake).
  • Demonstrated experience in defining and implementing data products, data catalogs and marketplaces.
  • Demonstrated experience transforming complex business requirements into scalable data models and semantic layers for analytics and agentic AI use cases.
  • Experience leading workstreams for data management engagements with teams distributed across multiple locations, including facilitating cross-functional workshops with technology, data, compliance, and business stakeholders to gather requirements and design solutions.
  • Limited immigration sponsorship may be available.
  • One of the following accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed attorney
      • Enrolled Agent
      • Technology Certifications
        • Data management and enterprise architecture (DAMA, CDMP, TOGAF)
        • Data platform specialist (Databricks, Data Engineer Associate/Professional, SnowPro, Core and SnowPro Advanced Architect for Snowflake)
        • Cloud architecture (AWS Certified Solutions Architect Associate/Professional)
        • Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs, and Databricks Generative AI Engineer Associate)
        • Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs)
        • Relevant industry certification such as Project Management (PMP)
        • Six Sigma (Black Belt)

Preferred:

  • Experience with emerging technologies such as Generative AI and advanced data architectures-including Data Mesh, Data Fabric, and Data Products
  • Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form) and medallion data architecture (bronze, silver, gold).
  • Demonstrated experience with cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake)
  • Skilled in supporting data integration (ETL/ELT) and data quality frameworks.
  • Demonstrated experience with metadata management and data lineage tools
  • Strong understanding of data security, access controls, and privacy principles.
  • Experience with data governance disciplines such as metadata management, lineage, stewardship, data quality, and policy management. 
  • Hands on experience with Data Management and Data Engineering.
  • Experience with defining data standards and developing Enterprise data models. 
  • Strong understanding of security, privacy, and compliance considerations in data environments.
  • Experience influencing cross-functional stakeholders and leading enterprise-wide initiatives.
  • Proven ability to lead, motivate, and develop a team of data professionals.
  • Strong analytical and problem-solving skills.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $119,025 to $198,375.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Are you someone who challenges the status quo, acts autonomously, and has experience leading solution and data architecture in broadscale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to influence architecture design in data and analytics / AI products that have a global impact? Are you ready to fulfill your greatest potential and make a significant impact within strategical data management and analytics / AI initiatives? If the answer to all the above questions is "Yes," come join the world's leading professional services firm! If you are prepared and poised to take the next step in your career where you can help lead solution and software architecture decisions that drive direct impact to the Digital footprint of a global business, we want to talk to you.

Work You'll Do

As a Data Architecture and Governance Manager within the business-aligned GES Technology group, you will oversee all aspects of data architecture, data modeling, governance, and operations. You will be responsible for defining the target-state data architecture for data and analytics, enterprise data models and embedding governance practices that improve data quality, compliance, and business value. You will have the opportunity to partner with a team of experienced product owners, product managers and leaders from other key workstreams in the practice and will be supported by a team of experienced practitioners.

  • Define and maintain the enterprise data architecture, data models, standards, and roadmap aligned to business and analytics priorities.
  • Lead the design of scalable, secure, and modern data platforms, including data lakes, warehouses, semantic layers, and integration patterns.
  • Establish and operationalize data governance frameworks covering data ownership, stewardship, metadata, lineage, quality, privacy, retention, and access controls.
  • Partner with business, engineering, security, and analytics leaders to prioritize data domains and enable trusted, high-value data products.
  • Create and enforce architecture principles, reference models, and design standards for structured and unstructured data.
  • Drive master data, reference data, and common data model strategies to improve consistency across systems and reporting.
  • Oversee data quality management, including rules, controls, monitoring, issue remediation, and governance forums.
  • Guide the selection and implementation of data governance, catalog, lineage, and quality tooling.
  • Ensure compliance with regulatory, security, and privacy requirements relevant to data management and usage.
  • Oversee the day-to-day operations of the data architecture and governance team and implement best practices.
  • Develop and enforce data security policies to protect sensitive information and comply with legal and regulatory requirements such as GDPR.
  • Monitor and assess data security risks and vulnerabilities and implement measures to mitigate them.
  • Train and develop your team of data professionals.

The Team

At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.

Qualifications

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
  • 5+ years of experience in data architecture, data management, or enterprise data leadership roles.
  • Demonstrated experience in data management consulting or industry roles, with a focus on master data management (MDM), data governance, metadata, data architecture, data quality, data modeling, and data standards
  • Hands-on implementation experience with leading data management platforms such as Informatica (MDM, 360, Data Catalog) and/or Reltio (Multi-domain MDM, Intelligent 360, advanced data models) and /or cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake).
  • Demonstrated experience in defining and implementing data products, data catalogs and marketplaces.
  • Demonstrated experience transforming complex business requirements into scalable data models and semantic layers for analytics and agentic AI use cases.
  • Experience leading workstreams for data management engagements with teams distributed across multiple locations, including facilitating cross-functional workshops with technology, data, compliance, and business stakeholders to gather requirements and design solutions.
  • Limited immigration sponsorship may be available.
  • One of the following accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed attorney
      • Enrolled Agent
      • Technology Certifications
        • Data management and enterprise architecture (DAMA, CDMP, TOGAF)
        • Data platform specialist (Databricks, Data Engineer Associate/Professional, SnowPro, Core and SnowPro Advanced Architect for Snowflake)
        • Cloud architecture (AWS Certified Solutions Architect Associate/Professional)
        • Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs, and Databricks Generative AI Engineer Associate)
        • Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs)
        • Relevant industry certification such as Project Management (PMP)
        • Six Sigma (Black Belt)

Preferred:

  • Exp...

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