Data Governance Manager Resume Example & Writing Guide

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

As a manager in this role, you’ll be tasked with creating and enforcing policies that govern the way data is handled within your organization. You’ll work with stakeholders across departments to define what data should be collected, how it should be managed, and how it should be used.

Because data governance is such a crucial component of any successful business, companies of all sizes need someone who can help them navigate this complex space. And as data becomes more valuable every year, there’s never been a better time to become a data governance manager.

Here are some tips plus an example to help you write a fantastic data governance manager resume that will get you noticed by recruiters.

Mary Thompson
Houston, TX | (123) 456-7891 | [email protected]

Seasoned data governance manager with 10+ years of experience in data quality, data governance, and data architecture roles. Proven ability to develop and implement data governance frameworks that improve data quality, support decision-making, and ensure compliance with corporate and regulatory requirements.

Southern Methodist University Jun '10
M.B.A. in Business Administration
Southern Methodist University Jun '06
B.S. in Business Administration
Company A, Data Governance Manager Jan '17 – Current
  • Led the data governance team to implement a new master data management system and improve processes for managing customer information across all channels.
  • Developed an automated process to identify duplicate accounts, saving over $1M annually in unnecessary spend.
  • Managed the implementation of a new CRM platform, reducing deployment time by 50% from 6 months to 3 weeks.
  • Created a centralized database for storing marketing assets such as logos and images, increasing efficiency among teams by 20%.
  • Built a dashboard that tracks key performance indicators (KPIs) across multiple business units, providing executive-level visibility into operations.
Company B, Data Governance Manager Jan '12 – Dec '16
  • Spearheaded the implementation of a data quality program that reduced customer complaints by 25% and increased customer satisfaction ratings
  • Created an automated system to track all changes made to critical business systems, reducing human error and increasing productivity
  • Managed a team of 10 Data Governance Analysts responsible for maintaining high-quality data in key business systems
  • Collaborated with senior management on strategic initiatives designed to improve company operations and increase profits
  • Conducted regular audits of critical business systems, identifying opportunities for process improvement and cost savings
Company C, Data Analyst Jan '09 – Dec '11
  • Conducted data analysis to identify trends and patterns in customer behavior.
  • Created reports and visualizations to communicate findings to stakeholders.
  • Developed and implemented data-driven solutions to improve customer engagement and retention.
  • Certified Data Governance Manager
  • Certified Information Privacy Professional
  • Certified in Master Data Management

Industry Knowledge: Data Quality, Data Governance, Data Modeling, Data Integration, Data Warehousing, Data Analysis, Data Normalization
Technical Skills: Business Objects, Cognos, Microsoft Business Intelligence, SQL, Oracle, Teradata, Liferay, SharePoint, SAP, Salesforce, NetSuite, Webex, Google Analytics
Soft Skills: Communication, Problem Solving, Teamwork, Leadership, Time Management, Organizational Skills, Leadership

How to Write a Data Governance Manager Resume

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

Write Compelling Bullet Points

When you’re writing bullet points, it can be tempting to use generic terms like “managed team” or “oversaw operations.” But rather than using vague terms, take the opportunity to describe the specific results of your work. So rather than saying you “managed team,” you could say you “increased productivity of new hires by 15% in first six months, resulting in a net increase of $1 million in annual revenue.”

The second bullet point is much more specific and provides a clear picture of what you did and the results of your work. And that’s what hiring managers want to see—quantifiable results that demonstrate your value as an employee.

Identify and Include Relevant Keywords

When you apply for a data governance manager role, your resume will likely be scanned by an Applicant Tracking System (ATS) for certain keywords. This software looks for specific terms related to the position, like “data analysis” or “policy development.” If your resume doesn’t include enough of the right keywords, the ATS might automatically reject your application.

To increase your chances of getting an interview, use this list of common data governance keywords to help you optimize your resume:

  • Data Governance
  • Data Modeling
  • Data Management
  • Business Intelligence (BI)
  • Data Governance Framework
  • Data Quality
  • Data Analysis
  • Data Warehouse
  • SQL
  • Master Data Management
  • Requirements Analysis
  • Tableau
  • Business Analysis
  • Change Management
  • Agile Methodologies
  • Microsoft Power BI
  • Data Warehousing
  • Information Governance
  • Requirements Gathering
  • Data Migration
  • Project Management
  • Requirements Engineering
  • Business Process Improvement
  • Stakeholder Management
  • SQL Server Integration Services (SSIS)
  • Information Management
  • Software Development
  • Database Administration
  • Unified Modeling Language (UML)
  • Enterprise Architecture

Showcase Your Technical Skills

As a data governance manager, you need to be proficient in a variety of software programs and systems in order to effectively manage and protect an organization’s data. This might include experience with data mining, data modeling, and data analysis tools, as well as knowledge of data security protocols. Additionally, you should be familiar with the various types of data storage systems and how to effectively manage them.


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