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Master Data Manager Jobs in Georgetown, TX (NOW HIRING)

The Opportunity As part of the Data Management team, you architect and manage master data management solutions to enhance business processes. As a Senior Manager, you lead large projects and innovate ...

You have brainpower in Master Data Management. * Your expertness lies in converting data to and from both Oracle and SQL Server databases. * You are adroit in developing windows application using ...

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Master Data Manager information

See Georgetown, TX salary details

$28.8K

$90.3K

$159.8K

How much do master data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for master data manager in Georgetown, TX is $90,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $116,600.00 per year, depending on experience, location, and employer.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

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

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

What cities near Georgetown, TX are hiring for Master Data Manager jobs?

Cities near Georgetown, TX with the most Master Data Manager job openings:

Infographic showing various Master Data Manager job openings in Georgetown, TX as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $90,259 per year, or $43.4 per hour.

Legal Data Analyst, Applied Data Science

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 19 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?
Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?
Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.
Description
The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
Minimum Qualifications
4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM-based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership
Preferred Qualifications
Experience with legal operations data (matter management, eBilling, CLM, document management)
Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use
Understanding of prompt engineering techniques to get better results from AI tools
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics
Experience with predictive analytics and forecasting models
Familiarity with data governance frameworks and data stewardship models
Experience with data quality tools (Great Expectations, Monte Carlo, or similar)
Knowledge of entity resolution concepts and master data management
Understanding of how data quality impacts AI/ML model performance
Experience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976