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Data Management Jobs in Kyle, TX (NOW HIRING)

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Work with all levels of staff, management, stakeholders, and vendors * Display advanced analytical ... Experience with data management solutions using data lake platform tools and technologies

Data Governance- Manager

Austin, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Data Modeler

Austin, TX

$54.25 - $70.25/hr

Understanding of data governance, metadata management, and data quality frameworks. * Ability to interpret business requirements and translate them into data design specifications. * Excellent ...

Data Modeler

Austin, TX

$54.25 - $70.25/hr

Understanding of data governance, metadata management, and data quality frameworks. * Ability to interpret business requirements and translate them into data design specifications. * Excellent ...

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Tranzeal Incorporated is seeking a SAP BTP Data Architect to manage C-level stakeholder relationships and define data management strategies. The role involves building the SAP data foundation ...

Own the enterprise data catalog and metadata management practice, ensuring business and technical definitions, lineage, and documentation are current and accessible. Administer and maintain the ...

Own the enterprise data catalog and metadata management practice, ensuring business and technical definitions, lineage, and documentation are current and accessible. Administer and maintain the ...

Showing results 21-40

Data Management information

See Kyle, TX salary details

$29.7K

$93.2K

$165K

How much do data management jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data management in Kyle, TX is $93,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $120,400.00 per year, depending on experience, location, and employer.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

What job categories do people searching Data Management jobs in Kyle, TX look for?

The top searched job categories for Data Management jobs in Kyle, TX are:

What cities near Kyle, TX are hiring for Data Management jobs?

Cities near Kyle, TX with the most Data Management job openings:

Infographic showing various Data Management job openings in Kyle, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $93,215 per year, or $44.8 per hour.

Data Architecture & Governance Manager - Global Employer Services Technology

Deloitte

Austin, TX

Full-time

Re-posted 6 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 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
        • IASA's Certified IT Architect (CITA) (Level F or A)
        • Open Group Certified Architect - Open CA
        • Certified in Risk and Information Systems Controls (CRISC)
        • Microsoft Azure
        • AWS Certified Solutions Architect
        • Certified Information Systems Security Professional (CISSP)
        • CBAP - Certified Business Analysis Professional
        • Alteryx Designer - Advanced Certification
        • Open Group Certified IT Specialist - Open CITS
        • Oracle Certified Professional
        • Microsoft Certified Solutions Expert - MCSE
        • ITIL Certification
        • Certified SAFe Architect
        • Six Sigma - Green or Black Belt
        • Project Management Professional - PMP
        • Certified SAFe Scrum Master

Preferred:

  • Data management and enterprise architecture (DAMA, CDMP, TOGAF)
  • Data platform specialist (Databricks, Data Engineer Associate/Professional, SnowPro, Core and SnowPro Advanced Architect for Snowflake) 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)
  • Skilled in supporting data integration (ETL/ELT) and data quality frameworks
  • Strong understanding of data security, access controls, and privacy principles. 
  • 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
        • IASA's Certified IT Architect (CITA) (Level F or A)
        • Open Group Certified Architect - Open CA
        • Certified in Risk and Information Systems Controls (CRISC)
        • Microsoft Azure
        • AWS Certified Solutions Architect
        • Certified Information Systems Security Professional (CISSP)
        • CBAP - Certified Business Analysis Professional
        • Alteryx Designer - Advanced Certification
        • Open Group Certified IT Specialist - Open CITS
        • Oracle Certified Professional
        • Microsoft Certified Solutions Expert - MCSE
        • ITIL Certification
        • Certified SAFe Architect
        • Six Sigma - Green or Black Belt
        • Project Management Professional - PMP
        • Certified SAFe Scrum Master

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