DATA MANAGER JOB DESCRIPTION

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Data Managers help organizations manage, improve and protect the data they rely on for reporting, analytics, operations, governance and decision-making.

They play an important role in making sure data is accurate, accessible, well organized and used responsibly across the business. Depending on the organization, a Data Manager may focus on data quality, governance, reporting, data operations, stakeholder management, master data management or team leadership.



This Data Manager job description guide is designed to help employers define the role clearly and help candidates understand the responsibilities, skills and experience commonly expected in data management jobs.

A Data Manager is responsible for overseeing how data is collected, maintained, governed and used across an organization.

The role can vary depending on the size and maturity of the data function. In some organizations, a Data Manager may lead a small team responsible for data quality, reporting and data operations. In others, the role may focus more heavily on data governance, master data management, stakeholder engagement or improving business processes around data.



Data Managers often work closely with data analysts, data engineers, data governance professionals, technology teams, operations teams and business leaders. Their work helps organizations create more reliable data, clearer ownership and better decision-making.

The best Data Managers combine technical understanding with communication, organization, stakeholder management and the ability to turn data challenges into practical action.

A Data Manager may be responsible for:



• managing data quality, accuracy and consistency across systems
• overseeing data collection, maintenance and reporting processes
• supporting data governance policies, standards and controls
• managing data operations and business-as-usual data processes
• working with stakeholders to understand data needs and issues
• improving how data is stored, accessed, documented and used
• supporting master data management and reference data processes
• creating or maintaining data dictionaries, definitions and documentation
• identifying and resolving data quality issues
• managing data reporting requirements and recurring data outputs
• supporting compliance, privacy, security and audit requirements
• coordinating with data engineering, analytics and technology teams
• helping define data ownership, stewardship and accountability
• monitoring data processes and recommending improvements
• leading or supporting data management projects
• managing, mentoring or coordinating members of a data team

A strong Data Manager usually combines data knowledge, process improvement, stakeholder communication and the ability to manage competing priorities.

Common Data Manager skills include:

• data management
• data quality
• data governance
• data operations
• stakeholder management
• reporting and analytics understanding
• SQL or database knowledge
• master data management
• metadata management
• data documentation
• data privacy and security awareness
• process improvement
• problem-solving
• team coordination
• communication
• project management
• attention to detail
• commercial awareness



The exact skill set will depend on the role. A Data Manager in a highly technical team may need stronger SQL, reporting or systems experience. A Data Manager in a governance-led environment may need more experience with policies, ownership models, controls and stewardship.

Use this section as a template.

Data Manager Job Description Template

We are looking for a Data Manager to oversee the quality, management and use of data across our organization.

The successful candidate will work with business, technology, analytics and governance teams to improve data accuracy, documentation, reporting and data processes.

You will be responsible for managing data quality initiatives, supporting data governance, improving data operations and helping teams use trusted data to make better decisions.

Key Responsibilities

Manage data quality, accuracy and consistency across key systems.

Oversee data collection, maintenance, reporting and documentation processes.

Work with stakeholders to identify and resolve data issues.

Support data governance policies, standards and controls.

Help define data ownership, stewardship and accountability.

Maintain data dictionaries, definitions and process documentation.

Support master data management and reference data processes.

Coordinate with data engineering, analytics and technology teams.

Monitor recurring data processes and recommend improvements.

Support compliance, privacy, security and audit requirements.

Lead or support data management projects.

Provide guidance to team members and business users on data processes.

Required Skills and Experience

Experience in data management, data quality, data governance or data operations.

Understanding of databases, reporting, analytics or business systems.

Ability to identify, investigate and resolve data issues.

Experience documenting data definitions, processes or standards.

Strong stakeholder management and communication skills.

Strong organization and attention to detail.

Ability to manage competing priorities and improve processes.

Awareness of data privacy, security and compliance requirements.

Desirable Skills

SQL or database querying experience.

Experience with Power BI, Tableau, Looker or Excel reporting.

Experience with data governance or cataloging tools.

Knowledge of master data management or reference data.

Experience working with cloud data platforms.

Experience managing or mentoring team members.

Project management experience.

Experience supporting data transformation programs. 

Data Manager compensation in the US can vary depending on location, seniority, industry, scope of responsibility, technical requirements, team size and whether the role is permanent or contract.

Employers should benchmark compensation before going to market, especially for roles requiring leadership, governance ownership, master data management, cloud platform knowledge, senior stakeholder influence or data transformation experience.

Candidates will often consider the full package, not just base salary. Remote flexibility, bonus, equity, healthcare benefits, team structure, decision-making authority, data maturity and long-term career opportunity can all influence whether a role is attractive.



KDR can support employers with compensation benchmarking and market insight before a search begins.

Hiring a Data Manager starts with understanding what kind of data management challenge the organization needs to solve.

Before going to market, employers should be clear on:

• whether the role is focused on data quality, governance, reporting, operations, MDM, leadership or transformation
• what business problems the Data Manager will help solve
• which systems, platforms and data environments are involved
• what level of stakeholder management is needed
• whether the role is hands-on, strategic or a blend of both
• which technical skills are essential and which are desirable
• whether the person will manage people, processes, projects or all three
• what compensation range is realistic

KDR helps US organizations hire Data Managers across permanent, contract and senior roles. We can support role definition, candidate search, shortlist creation, interview coordination, compensation advice and offer management.

Data Managers can move in several directions as their experience grows.

Some progress into Senior Data Manager, Data Governance Manager, Data Quality Manager, Head of Data Management or Director of Data Management roles. Others move toward data governance leadership, master data management, data operations, analytics leadership or wider data leadership.

A typical career path may include:

Data Analyst, BI Analyst, Data Quality Analyst or Data Coordinator

Data Manager

Senior Data Manager

Data Governance Manager

Data Quality Manager

Head of Data Management

Director of Data Management

Head of Data

Chief Data Officer



Career progression often depends on stakeholder influence, leadership experience, technical understanding, governance knowledge, process improvement and the ability to improve data outcomes across the business.

Employers may ask Data Manager interview questions covering data quality, governance, stakeholder management, reporting, process improvement and leadership.

Example interview questions include:



• Can you describe a data quality issue you have resolved?
• How do you define and measure data quality?
• How do you work with stakeholders who own different parts of a data process?
• How do you approach data documentation and definitions?
• What data governance frameworks or standards have you worked with?
• How would you improve a recurring data process that produces errors?
• How do you prioritize competing data issues?
• What reporting or BI tools have you worked with?
• How do you support privacy, security or compliance requirements?
• How do you encourage better data ownership across a business?
• Have you worked with master data or reference data?
• How do you communicate data issues to non-technical stakeholders?
• How do you manage or support a data team?