Data Steward

Career Guide

A Data Steward helps keep an organization’s data accurate, consistent, secure, and easy to use. They define data standards, improve data quality, and coordinate with teams to ensure key data is clearly defined and properly managed.

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Key Responsibilities

Define and maintain common definitions for important data
Set data quality rules and track data quality results
Review and correct data issues with business and technical teams
Maintain documentation for data fields and data sources
Support data access requests using agreed rules and approvals
Help ensure data handling follows internal policies and external regulations
Assist with data change reviews for new systems and process updates
Promote good data practices through training and support

Top Skills for Success

Attention to Detail

Stakeholder Communication

Process Improvement

Problem Solving

Data Quality Management

Data Standards

Data Definitions

Metadata Management

Data Governance

SQL

Data Privacy

Risk Awareness

Career Progression

Can Lead To

Senior Data Steward

Data Governance Analyst

Data Quality Analyst

Master Data Specialist

Transition Opportunities

Data Governance Manager

Data Product Manager

Analytics Manager

Data Compliance Manager

Data Operations Lead

Common Skill Gaps

Often Missing Skills

Metadata ManagementData LineageSQLData Quality MonitoringData Access ControlsData Catalog ToolsChange Management

Development SuggestionsBuild confidence in SQL and basic data investigation. Practice writing clear data definitions and documenting data sources. Learn one data catalog tool and one data quality tool used in your target industry. Partner with security and compliance teams to understand access rules and privacy expectations.

Market Intelligence Report

Data Steward is part of the Data Governance category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

See the market intelligence report

Salary & Demand

Median Salary Range

Entry LevelUSD 60,000 to 85,000

Mid LevelUSD 85,000 to 115,000

Senior LevelUSD 115,000 to 145,000

Growth Trend

Demand is steady to growing, driven by analytics adoption, regulatory pressure, and company focus on trustworthy reporting. Hiring is strongest in regulated and data-heavy industries.

Companies Hiring

Major Employers

JPMorgan ChaseBank of AmericaWells FargoUnitedHealth GroupCVS HealthKaiser PermanenteAmazonMicrosoftIBMAccentureDeloittePfizer

Industry Sectors

Financial ServicesHealthcareInsuranceRetailTechnologyManufacturingPharmaceuticalsGovernmentConsulting

Recommended Next Steps

Create a sample data dictionary for a familiar dataset with clear definitions and owners

Practice identifying data quality issues and proposing specific rules to prevent them

Strengthen SQL skills for checking data consistency and tracing issues to a source

Learn your industry’s privacy and retention requirements and summarize how they affect daily work

Add a portfolio entry that shows documentation, issue tracking, and measurable quality improvements

Network with data owners and analysts to understand how trusted data impacts decisions