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Data Management Jobs in Austin, TX (NOW HIRING)

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. * Manage day-to-day ...

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

Lead day-to-day data management activities for assigned clinical trials (Phase 2 and Phase 1b) * Oversee CRO and vendor data management deliverables to ensure timelines, quality, and compliance

Clinical Data Manager

Austin, TX · On-site

$125K - $175K/yr

Lead day-to-day data management activities for assigned clinical trials (Phase 2 and Phase 1b) * Oversee CRO and vendor data management deliverables to ensure timelines, quality, and compliance

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

Lead day-to-day data management activities for assigned clinical trials (Phase 2 and Phase 1b) * Oversee CRO and vendor data management deliverables to ensure timelines, quality, and compliance

Data Architect

Austin, TX · On-site

$62.50 - $80.50/hr

... management, data flows, data relationships, data quality standards and processes, and proficiency with data analytical and quality tools 10 Extensive experience and domain knowledge in the areas of ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Data Strategy-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 ...

Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the Program Office, the appropriate preparers, receives the data within PDM, and reviews the data for ...

Serve as a trusted advisor for data management, privacy, security, and architecture initiatives. Data Governance Standards & Process * Define and implement enterprise data governance standards ...

Serve as a trusted advisor for data management, privacy, security, and architecture initiatives. Data Governance Standards & Process * Define and implement enterprise data governance standards ...

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Showing results 1-20

Data Management information

See Austin, TX salary details

$30.7K

$96.3K

$170.5K

How much do data management jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data management in Austin, TX is $96,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

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 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 skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

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 tools, data governance policies, and data quality standards to support business operations and decision-making.

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 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 are the most commonly searched types of Data Management jobs in Austin, TX? The most popular types of Data Management jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Management jobs? Cities near Austin, TX with the most Data Management job openings:
Infographic showing various Data Management job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $96,291 per year, or $46.3 per hour.

Master Data Management Director

McLane Company

Austin, TX • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


McLane rating

7.0

Company rating: 7.0 out of 10

Based on 180 frontline employees who took The Breakroom Quiz

29th of 49 rated food wholesalers


Job description

Take your career further with McLane!
McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.

We are looking for a Director to lead our Master Data Management transformation. This leader will define and execute the enterprise data strategy for master data (product, vendor, customer, item), build the target-state architecture across MDM platforms and middleware, and ensure master data is accurate, consistent, governed, and seamlessly integrated across downstream systems and analytics. You will play a critical role in enabling trusted data - the foundation for operational excellence, analytics, supply-chain, and commerce systems.

This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

Benefits you can count on:

  • Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance.
  • Paid time off begins day one.
  • 401(k) Profit Sharing Plan after 90 days.
  • Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!
     

What you'll do as a Master Data Management Director:

  • Own and drive the enterprise MDM transformation roadmap - define future-state architecture, data domains, governance, integration and stewardship.
  • Lead strategic design and hands-on oversight of MDM platforms (e.g., Syndigo, Informatica MDM or equivalent), including data models, master-data domains (product, vendor, customer, item), hierarchy management, matching/merging, survivorship logic, data enrichment, validations, and metadata.
  • Collaborate closely with business stakeholders (merchandising, supply-chain, operations, finance, digital) as well as engineering, architecture, analytics teams to translate business requirements into technical solutions.
  • Lead cross-functional teams and vendor partners involved in MDM, middleware, integration, data engineering, and analytics. Set priorities, manage deliverables, and track progress against roadmap.
  • Build, mentor, and lead a high-performing MDM / data-governance team - data stewards, data architects, engineers, and analysts.
  • Promote a data-driven culture - educate business and technical partners on master-data best practices, enforce stewardship responsibilities, and foster accountability for data quality.
  • Define integration architecture: lead how MDM interacts with middleware (API gateways, ESB/bus, message queues, event streams, file exchanges), and how master data flows to ERP, supply-chain systems, merchandising, e-commerce, analytics, and reporting systems.
  • Oversee data migration, onboarding of legacy and third-party data sources, data cleansing, harmonization, and unification under the master-data model.
  • Establish and enforce data governance, stewardship model, data-quality standards, metadata management, lineage tracking, and data access controls.
  • Build data quality frameworks: define KPIs, monitoring, auditing, remediation processes, and continuous improvement loops.
  • Work with analytics, BI, and reporting teams to ensure master data supports reliable reporting, business intelligence, and downstream analytics decisions.
  • Align with compliance, security, and privacy - ensure governance and controls meet applicable regulatory or industry standards.
  • Drive continuous improvement: identify opportunities for automation, reusability, scalability, and optimization of data infrastructure and processes.
     

Qualifications you'll bring as a Master Data Management Director
Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
  • 10 years in data management, data architecture, or master-data management; with at least 5 years leading or managing enterprise MDM programs. 
  • Hands-on experience with MDM platforms such as Syndigo, Informatica MDM (or equivalent) including design and implementation of master-data models, hierarchies, and governance frameworks.
  • Strong technical understanding of middleware/integration architectures (APIs, ESBs, event/message-based systems, batch or real-time data flows) and how MDM should integrate with downstream applications (ERP, supply-chain, e-commerce, analytics).
  • Proven experience in data migration, system consolidation, data cleansing/standardization, and data unification across multiple source systems.
  • Deep understanding of data governance, data quality, metadata, lineage, stewardship, access control, and data lifecycle management.
    Experience leading cross-functional and vendor teams in large enterprise transformations.
  • Strong leadership, communication, stakeholder management - able to work with business execs, engineering teams, analytics, operations, and supply-chain partners.
     

Preferred / Nice to Have

  • Experience working in retail, distribution, manufacturing, CPG or supply-chain heavy environment.
  • Familiarity with cloud data platforms, data warehouses/lakes, data integration tools, and modern data architectures. 
  • Experience establishing or working with enterprise data catalog, metadata repositories, or data lineage tools. 
  • Background working on or overseeing data-platform modernization, data-warehouse / lakehouse migrations, or cloud-first data strategies. 
  • Ability to communicate complex technical concepts to business and non-technical stakeholders.
  • A mindset oriented toward continuous improvement, scalability, reusability, and operational excellence.
     

What Success Looks Like / Why It Matters

  • You will lead the transformation of how master data is governed and used across the enterprise - delivering reliable, consistent, and high-quality data for supply-chain, product, vendor/customer master, e-commerce, analytics, and operations.
  • You'll enable critical cross-system integration and data flow - reducing duplication, errors, and data silos - and enabling better reporting, analytics, and operational efficiency.
  • You'll build and grow a capable MDM/data-governance team, instill best practices and stewardship, and embed data-quality culture across the business.
  • You'll help McLane scale its operations, support business growth, and leverage data as a strategic asset across merchandising, logistics, supply chain, and commerce.

Fit the following? We want you here!

  • Teamwork oriented 
  • Organized 
  • Problem solver 
  • Detailed

Our roadmap. Our story.  

We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130 years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.  

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.  

All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/ 


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