Master Data Manager Resume Example & Writing Guide

Use this Master Data Manager resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Master data management is a relatively new discipline within the realm of data science. Master data management is the process of defining, managing, and maintaining an organization’s most important data assets—its master data. It’s a data-driven approach to managing the customer, product, and location data that underpins most business processes. Master data management helps companies ensure that their systems are working as intended, that data is consistent across the organization, and that customer experiences are consistent across channels.

If you’re interested in working in an exciting, fast-paced environment where you get to use your data skills to help companies make smarter business decisions, then you might be ready to become a master data manager yourself! Here are some tips on how to write a great master data manager resume plus an example to look at when writing yours.

James Smith
Chicago, IL | (123) 456-7891 | [email protected]

Seasoned data professional with over 10 years of experience in data management, analysis, and governance. Proven ability to collect, organize, and analyze complex data sets to support decision making and business intelligence. Skilled in data visualization and Tableau.

Northwestern University Jun '10
M.S. in Business Intelligence and Analytics
University of Illinois at Urbana-Champaign Jun '06
B.S. in Business Administration
Company A, Master Data Manager Jan '17 – Current
  • Managed the data governance and master data management (MDM) program for a $2B+ financial services company, including ownership of all aspects of the MDM process from strategy to execution.
  • Developed an enterprise-wide approach to managing customer information across multiple lines of business, resulting in over $1B in annual revenue growth within 18 months.
  • Led cross-functional teams through requirements gathering, design, development, testing, deployment, and maintenance phases of project lifecycles.
  • Oversaw implementation of new systems that integrated with existing infrastructure and applications as well as decommissioning legacy systems when appropriate.
  • Provided technical expertise on complex issues related to data modeling and integration strategies between disparate systems and platforms.
Company B, Master Data Manager Jan '12 – Dec '16
  • Led the implementation of a data quality program that reduced customer complaints by 40% and increased sales opportunities by 15%
  • Managed all aspects of master data management, including business rules, attributes, relationships and history for 100M+ records
  • Spearheaded the development of an enterprise-wide master data strategy to improve consistency across departments
  • Conducted weekly reviews with stakeholders to ensure compliance with company policies and procedures
  • Implemented a new system to manage product lifecycles from concept through retirement (200K+ products)
Company C, Data Analyst Jan '09 – Dec '11
  • Conducted analysis of large data sets to identify trends, correlations, and patterns.
  • Presented findings to clients and senior management in both written and verbal formats.
  • Developed and maintained relationships with clients to ensure continued business.
  • Certified Master Data Manager
  • IBM Certified Database Administrator – DB2 10 for z/OS
  • Oracle Certified Expert, Oracle Database 12c: Administration

Industry Knowledge: Data Management, Data Modeling, ETL, Data Integration, Data Quality, Master Data Management, Data Governance
Technical Skills: Informatica, IBM Big Data, IBM Data Studio, IBM InfoSphere Data Architect, IBM InfoSphere Master Data Management, IBM InfoSphere MDM, IBM InfoSphere Streams, IBM InfoSphere Warehouse, IBM InfoSphere Data Replication, IBM Cognos, Microsoft SQL Server, Oracle, Teradata, SAP Hana, SAS, Data Quality, Data Integration
Soft Skills: Communication, Leadership, Problem-Solving, Teamwork, Productivity, Attention to Detail, Creativity, Critical Thinking, Writing, Time Management

How to Write a Master Data Manager Resume

Here’s how to write a resume of your own.

Write Compelling Bullet Points

The bullet points are your first opportunity to make a strong impression on a recruiter or hiring manager. So it’s important to use them to showcase your experience and qualifications.

But rather than simply listing your responsibilities, you can use them to tell a story about your work. For example, rather than saying you “managed data for 10,000+ customers,” you could say you “managed data for 10,000+ customers, reducing customer data discrepancies by 50% in first six months through automated data audits and data quality checks.”

The second bullet point is much stronger because it provides more detail about what you did and the results of your work. It also provides a specific number to demonstrate the scale of the project.

Identify and Include Relevant Keywords

When you apply for a master data manager role, your resume will likely be scanned by an applicant tracking system (ATS) for certain keywords. ATS programs rank resumes against other candidates by searching for certain keywords that are relevant to the job opening. If your resume doesn’t include enough of the right keywords, your application might not make it past the initial screening process.

The best way to ensure that you have the right keywords on your resume is to read through a few job postings and take note of the terms that are used most frequently. Then, make sure to include those same terms in your resume. Here are some of the most common keywords for master data manager roles:

  • Master Data Management (MDM)
  • Data Governance
  • Data Management
  • Master Data Services
  • Data Quality
  • Data Modeling
  • Business Intelligence (BI)
  • Data Warehousing
  • Data Integration
  • Extract, Transform, Load (ETL)
  • Business Analysis
  • Software Development Life Cycle (SDLC)
  • Data Migration
  • SQL
  • Requirements Analysis
  • Analytics
  • Data Quality Management
  • Big Data
  • Database Administration
  • Change Management
  • Visio
  • Tableau
  • Microsoft SQL Server
  • Data Integration & Migration
  • Business Process Improvement
  • Business Intelligence Tools
  • Vendor Management
  • SQL Server Integration Services (SSIS)
  • Business Process
  • Customer Relationship Management (CRM)

Showcase Your Technical Skills

As a master data manager, you are responsible for managing and maintaining critical data for your organization. This data is used to make business decisions, so it’s essential that you are proficient in the use of data management software and systems. Additionally, you need to be able to effectively communicate with other members of the organization, as you will be responsible for coordinating data across different departments.

Some of the programs and systems that master data managers are typically expected to be proficient in include: data warehousing software, data mining software, data modeling software, and business intelligence software. Additionally, master data managers need to have a solid understanding of database management systems (DBMS) and data security concepts.


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