Data Quality Manager Job Description [Updated for 2025]

In the era of Big Data, the role of Data Quality Managers is more critical than ever.

As the digital world continues to evolve, the demand for professionals who can manage, maintain and ensure the integrity of data is at an all-time high.

But let’s dive deeper: What’s really expected from a Data Quality Manager?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager outlining the perfect candidate,
• Or simply fascinated by the mechanics of data management,

You’ve come to the right place.

Today, we reveal a customizable Data Quality Manager job description template, engineered for easy posting on job boards or career sites.

Let’s get started.

Data Quality Manager Duties and Responsibilities

Data Quality Managers are responsible for ensuring the accuracy, completeness, and consistency of a company’s data systems.

They also manage the team that handles data entry, data analysis, and data reporting.

Their primary duties and responsibilities include:

• Developing and implementing data quality management strategy
• Ensuring all systems, applications, and processes comply with data standards and regulations
• Designing, implementing and supporting data quality standards and procedures
• Establishing and managing data quality metrics and monitoring processes
• Working closely with IT and data teams to design and implement data strategies, standards, and procedures
• Managing and resolving data quality issues in a timely manner
• Creating and maintaining documentation of data quality standards and procedures
• Conducting data quality audits and reporting on the results
• Training and mentoring staff on data quality procedures and best practices
• Collaborating with data governance teams to ensure alignment of data quality and governance strategies

 

Data Quality Manager Job Description Template

Job Brief

We are seeking a detail-oriented Data Quality Manager to improve the quality, integrity, and consistency of our data.

The Data Quality Manager will be responsible for establishing, implementing, and maintaining a framework of policies and procedures to ensure the data is accurate, complete, and reliable.

This role requires a deep understanding of data management practices including data profiling, data cleansing and data protection.

The ideal candidate will have a strong background in data analysis, a keen eye for detail, and an unyielding drive for ensuring high data quality.

 

Responsibilities

• Develop and implement data quality management strategy and plans
• Coordinate and perform data quality control and audit checks
• Monitor and measure the quality of incoming and existing data
• Identify, analyze, and interpret trends or patterns in complex data sets
• Collaborate with cross-functional teams to address data quality issues and needs
• Create data quality reports and documentation
• Conduct data cleansing to rid the system of old, unused data, or duplicate data for better management and quicker access
• Ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
• Provide training and support to data management staff

 

Qualifications

• Proven work experience as a Data Quality Manager or similar role
• Experience with data analysis and databases
• Knowledge of data management practices, data validation and cleansing techniques
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Knowledge of data protection regulations and policies
• Familiarity with data modeling and data mining
• Excellent verbal and written communication skills
• BSc degree in Computer Science, Information Management, Statistics or relevant field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Data Quality Manager
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Director of Data Management.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $100,000 minimum to $160,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Data Quality Manager Do?

Data Quality Managers typically work in various industries including finance, healthcare, retail, and technology.

They can work for organizations directly or as part of consulting firms.

They work closely with other data professionals and stakeholders to ensure that the data collected and used by the organization is of high quality, accurate, consistent, and reliable.

Their primary job is to develop, implement, and maintain a data quality management strategy.

This includes creating data quality metrics and standards, implementing data quality tools, and establishing data governance practices.

They also oversee the analysis of data to identify data quality issues, and they work to solve these issues by collaborating with other teams.

This involves troubleshooting data-related problems, coordinating data cleaning initiatives, and implementing data correction procedures.

Data Quality Managers have the responsibility to provide reports on data quality to senior management, highlighting areas of concern and proposing solutions.

They are also responsible for training staff on data management principles and ensuring everyone understands the importance of data quality in decision-making processes.

In addition, they may also be involved in data privacy and security processes, ensuring that data is not only high quality but also securely stored and processed.

 

Data Quality Manager Qualifications and Skills

A proficient Data Quality Manager should possess a combination of technical skills, soft skills and industry knowledge to maintain high quality data systems and practices, including:

• Strong understanding and experience in data management methodologies, techniques, and tools to ensure quality of data.
• Excellent problem-solving skills to identify, investigate and rectify data quality issues within an organization.
• Knowledge of data security and privacy laws and regulations to ensure compliance in data management.
• Exceptional communication skills to articulate complex data-related concepts to non-technical team members and stakeholders.
• Leadership and team management skills to oversee and coordinate the work of data quality team members.
• Project management skills to plan, monitor and control data quality initiatives and projects.
• Analytical and decision-making skills to develop strategies for improving or further leveraging the organization’s data quality.
• Understanding of database structure, data models, and data warehousing principles to facilitate data quality management.
• Technical proficiency in SQL and other data manipulation languages to perform data quality checks.
• Experience with data visualization tools to present data quality metrics to stakeholders.

 

Data Quality Manager Experience Requirements

Entry-level candidates for a Data Quality Manager position typically possess at least 3 to 5 years of experience in a related field like Data Analysis, Data Management, or Quality Assurance.

During this period, they gain critical experience in data quality control, validation procedures, and data governance principles.

Candidates with more than 5 years of experience usually have already held a mid-level role such as Data Analyst or Quality Assurance Manager.

They would have a comprehensive understanding of database systems, data modeling, data cleaning, and various data quality tools.

Those with more than 7 years of experience in the data management field may be suitable for a senior Data Quality Manager position.

At this level, they are expected to have extensive leadership experience, a deep understanding of data quality concepts, project management skills, and the ability to develop and implement data quality strategies and procedures.

In addition, a Data Quality Manager should ideally have industry-specific experience, such as in finance, healthcare, or IT, depending on the hiring company’s sector.

This allows them to better understand the intricacies of data quality management in a specific context.

Professional certifications like Certified Data Management Professional (CDMP) or Certified Information Quality Professional (CIQP) can further enhance a candidate’s qualifications for the role.

 

Data Quality Manager Education and Training Requirements

Data Quality Managers typically require a bachelor’s degree in information systems, computer science, statistics or a related field.

In addition to this, a strong understanding of data management principles, data quality techniques and familiarity with data analysis tools are essential.

A good foundation in mathematics and statistics is also beneficial.

To further excel in this role, a postgraduate degree in data science, data management, or business administration can be advantageous.

Some roles may specifically require this higher level of education due to the complex nature of the work involved.

Several certifications can be pursued to enhance knowledge and skills in this field, such as Certified Data Management Professional (CDMP), Certified Information Systems Auditor (CISA), or Certified Information Quality Professional (CIQP).

Hands-on experience with data management software, SQL databases, and data modeling tools is a significant plus.

These qualifications not only demonstrate a candidate’s comprehensive knowledge and proficiency but also their commitment to maintaining high data quality and ongoing professional development.

 

Data Quality Manager Salary Expectations

A Data Quality Manager can expect to earn an average salary of $107,466 (USD) per year.

The actual salary may vary based on factors such as level of experience, industry-specific knowledge, and geographical location.

 

Data Quality Manager Job Description FAQs

What skills does a Data Quality Manager need?

Data Quality Managers require strong analytical and problem-solving skills as they are responsible for identifying and resolving data quality problems.

They should also have excellent attention to detail and be skilled in various data management tools and systems.

Proficiency in SQL and other data manipulation languages is often necessary.

Good communication and interpersonal skills are also important as they need to collaborate with different teams and explain complex data concepts in layman’s terms.

 

Do Data Quality Managers need a degree?

Most Data Quality Manager roles require at least a bachelor’s degree in Computer Science, Data Management, or a related field.

Some roles may require a master’s degree or specific certifications in data or quality management.

Practical experience in data management, data governance, or related fields is also highly valued.

 

What should you look for in a Data Quality Manager resume?

When reviewing a Data Quality Manager resume, look for a solid educational background in a relevant field and extensive experience with data management tools and methodologies.

Check for experience in data quality projects and any specific experience related to your industry.

Certifications in data or quality management can also be a plus.

 

What qualities make a good Data Quality Manager?

A good Data Quality Manager is detail-oriented and has a keen eye for detecting inconsistencies and errors in data.

They should be highly analytical, with the ability to identify data quality issues and determine effective solutions.

Excellent communication skills are also important, as they will need to explain complex data issues and their impact on business operations to different stakeholders.

 

What are the daily duties of a Data Quality Manager?

A Data Quality Manager typically oversees the collection and cleaning of data, ensuring it is error-free and usable for analysis.

They may also develop data quality standards and policies, and work with different teams to ensure these standards are met.

Regular audits of data sets may be carried out to identify and rectify any issues.

Data Quality Managers will also likely be involved in the planning and implementation of data-related projects and initiatives.

 

Conclusion

And there you have it.

Today, we’ve lifted the veil on what it truly means to be a Data Quality Manager.

Surprise, surprise?

It’s not just about managing databases.

It’s about sculpting the future of information, one data point at a time.

With our detailed Data Quality Manager job description template and real-life examples, you’re fully prepared to make your move.

But why stop at readiness?

Dig deeper with our job description generator. It’s your subsequent step towards precision-built job listings or perfecting your resume.

Keep in mind:

Every data point contributes to a larger narrative.

Let’s create that narrative. Together.

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