Data Governance Director

Career Guide
A Data Governance Director sets the rules, ownership, and ways of working that keep an organization’s data accurate, secure, well defined, and easy to use. This role aligns business leaders, data teams, and risk teams so data supports reporting, analytics, and trusted decision making.

Key Responsibilities

  • Define the organization’s data governance vision and priorities
  • Set data ownership and decision rights across key data domains
  • Create and maintain data policies, standards, and guidelines
  • Lead a data governance council and run governance routines
  • Establish data quality targets and oversee issue resolution processes
  • Oversee metadata management and business definitions for key metrics
  • Partner with security and privacy teams on data protection requirements
  • Support regulatory and audit readiness through documentation and controls
  • Prioritize governance work based on business impact and risk
  • Influence leaders to adopt consistent data practices across teams
  • Select and roll out governance tools and workflows
  • Track and report governance outcomes using clear measures

Top Skills for Success

Stakeholder Management
Executive Communication
Program Management
Change Management
Policy Writing
Data Governance Frameworks
Data Quality Management
Data Stewardship
Metadata Management
Data Lineage
Master Data Management
Data Privacy
Risk Management
Data Security Fundamentals

Career Progression

Can Lead To
Data Governance Director
Head of Data Governance
Director of Data Management
Director of Data Quality
Director of Data Strategy
Transition Opportunities
Chief Data Officer
VP of Data
VP of Analytics
VP of Data Management
Chief Information Security Officer

Common Skill Gaps

Often Missing Skills
Operating Model DesignGovernance MetricsData Product ThinkingVendor ManagementAudit ReadinessData ClassificationBusiness Glossary Management
Development SuggestionsBuild a simple governance scorecard, lead a cross functional pilot for one high value data domain, and formalize ownership, definitions, and quality checks. Partner with legal, security, and internal audit to strengthen controls and documentation.

Salary & Demand

Median Salary Range
Entry LevelUSD 150,000 to 190,000
Mid LevelUSD 190,000 to 240,000
Senior LevelUSD 240,000 to 320,000
Growth Trend
Growing demand, driven by increased regulatory scrutiny, security expectations, and the need for trusted data for analytics and automation.

Companies Hiring

Major Employers
JPMorgan ChaseBank of AmericaWells FargoUnitedHealth GroupKaiser PermanenteCVS HealthPfizerMerckWalmartAmazonMicrosoftSalesforce
Industry Sectors
BankingInsuranceHealthcarePharmaceuticalsRetailTechnologyTelecommunicationsEnergyPublic Sector

Recommended Next Steps

1
Assess the current state of data ownership, definitions, and quality for top priority data
2
Draft a one page governance charter that clarifies roles and decision rights
3
Create a business glossary for the most used metrics and reports
4
Implement a basic data quality process with targets, alerts, and a clear issue workflow
5
Set up a governance council with a monthly cadence and an action backlog
6
Align with security and privacy on data classification and access expectations
7
Choose one governance tool to standardize metadata and stewardship workflows
8
Publish quarterly progress using clear measures such as adoption, quality, and risk reduction