Data Governance Analyst (Classification & Standards)

Career Guide
A Data Governance Analyst (Classification & Standards) helps an organization define and apply clear rules for how data is labeled (classified), described (standard definitions), and handled (usage and access rules). The goal is to make data easier to find, trust, protect, and use consistently across teams—especially for reporting, analytics, and regulatory compliance.

Key Responsibilities

  • Create and maintain a data classification scheme (e.g., public, internal, confidential) and guidance for how each class should be stored, shared, and protected
  • Define and document data standards, including common definitions, naming conventions, and allowed values for key data fields
  • Work with business and technical teams to map important data elements and ensure consistent meaning across systems
  • Support data owners and data stewards with templates, playbooks, and training on classification and standards
  • Assess data sets for proper classification and alignment to standards; help teams remediate gaps
  • Partner with security, privacy, legal, and risk teams to align standards with policy and regulatory requirements
  • Track governance adoption using simple metrics (e.g., % of critical data elements classified, % aligned to standards)
  • Contribute to governance documentation and tools (data catalog entries, glossaries, standards repositories)

Top Skills for Success

Clear writing and documentation (policies, standards, definitions)
Stakeholder management (aligning business, IT, security, and compliance)
Analytical thinking (spot inconsistencies and root causes in data usage)
Data classification concepts (sensitivity levels, handling rules, retention basics)
Data standards and definitions (business glossary, naming conventions, permitted values)
Data quality fundamentals (how to define and measure “good data”)
Privacy and security basics (PII/PHI, access principles, least-privilege thinking)
Metadata and catalog tools (maintaining data descriptions and ownership)
SQL and data literacy (reading tables, validating fields, basic profiling)
Change management (driving adoption of standards without slowing teams down)

Career Progression

Can Lead To
Senior Data Governance Analyst
Data Governance Lead / Program Manager
Data Stewardship Lead
Data Quality Lead
Metadata / Data Catalog Manager
Transition Opportunities
Data Governance Manager
Privacy Program Specialist or Manager
Information Security Governance/Risk/Compliance (GRC) Analyst
Enterprise Data Manager
Data Product Manager (with strong domain expertise)

Common Skill Gaps

Often Missing Skills
Turning broad policy into practical, step-by-step standards teams can followHands-on experience with a data catalog/business glossary toolConfidence in SQL or basic data profiling to validate fields and definitionsUnderstanding how classification ties to access controls and data sharingDefining measurable governance outcomes (simple KPIs and adoption tracking)
Development SuggestionsBuild a small portfolio: pick a sample dataset, define a classification level per field, write a one-page standard (definition, allowed values, owner), and show how you would validate it with simple SQL checks. Pair this with a basic understanding of privacy/security expectations and examples of how standards reduce reporting confusion.

Salary & Demand

Median Salary Range
Entry LevelUSD $70k–$95k
Mid LevelUSD $95k–$130k
Senior LevelUSD $130k–$170k+
Growth Trend
Above-average demand. Hiring is driven by privacy regulations, cybersecurity concerns, cloud migration, and the need for reliable data for analytics and AI. Roles are especially common in regulated industries and larger enterprises.

Companies Hiring

Major Employers
JPMorgan ChaseBank of AmericaWells FargoCitiUnitedHealth GroupCVS HealthKaiser PermanentePfizerMerckAmazonMicrosoftGoogleIBMAccentureDeloitte
Industry Sectors
Banking and financial servicesInsuranceHealthcare providers and payersPharmaceuticals and life sciencesTechnology and cloud servicesConsulting and professional servicesRetail and e-commerceTelecommunicationsGovernment and public sector

Recommended Next Steps

1
Create a mini “classification & standards” portfolio artifact (one-page policy + a glossary with 20–30 terms + 5–10 key fields with definitions and allowed values)
2
Strengthen SQL basics (select, joins, group by) and practice data profiling (null rates, duplicates, value distributions)
3
Learn one common catalog/governance tool conceptually (how glossaries, ownership, and metadata workflows work), even via free demos or tutorials
4
Study privacy and security essentials relevant to your region/industry (what counts as sensitive personal data and common handling expectations)
5
Practice stakeholder communication: run a mock workshop agenda to align on definitions and get sign-off from data owners
6
Update your resume to highlight governance outcomes (consistency, reduced ambiguity, improved compliance) and include concrete examples of standards you created or improved