Top 10 Skills for AI Data Governance Managers
Ranked by how often they appear in real job postings. These are the skills employers actually ask for — not just what looks good on a curriculum.
Governance ensures data reliability and fitness for use; postings emphasize making data trustworthy and supporting decision-making confidence.
Governance analyst role specifically requires managing data governance within Salesforce environments and Salesforce data stewardship.
Fundamental to governance roles; managing data lineage, cataloging, and discovery requires deep understanding of metadata standards and architecture.
Core security function; governance managers must design and enforce role-based access policies and permission structures for data assets.
Governance requires working across engineering, product, security, compliance, and business teams; essential for program success.
Multiple product manager postings; requires translating customer needs into roadmaps, coordinating engineering delivery, and communicating vision.
Essential for data governance roles requiring data analysis, KPI tracking, and understanding data structures.
Most-used tools & technologies
Frequently asked questions
What are the most important skills for a AI Data Governance Manager?
The most in-demand skill for AI Data Governance Managers is data quality, which job postings name frequent. Governance ensures data reliability and fitness for use; postings emphasize making data trustworthy and supporting decision-making confidence. Other skills near the top include Salesforce and metadata management. Together they make up the core stack employers write into requirements.
Which AI Data Governance Manager skills are required at the entry level?
Entry-level AI Data Governance Manager candidates are generally expected to have: cross-functional collaboration, SQL. These are foundational expectations, not differentiators: having them gets you to the interview, and how well you apply them is what the interview tests.
Which AI Data Governance Manager skills help you stand out?
Specialisation-tier skills are named in a minority of postings, so fewer candidates arrive with them: data quality, Salesforce, metadata management, access control. Senior-signal skills like data quality and Salesforce and metadata management and access control and product management are rarer still and tend to show up in more senior postings. Our postings data does not measure pay, so we make no claim about salary premiums.
How often do AI Data Governance Manager job postings name data quality?
In the live AI Data Governance Manager postings we analysed, data quality is the most frequently named skill, at the "Frequent" step of our scale. The scale is based on our analysis of live postings.
What tools do AI Data Governance Managers use most?
The most commonly cited tools for AI Data Governance Managers are Databricks, Unity Catalog. These come from actual job postings, not surveys, so they reflect what hiring managers write into requirements rather than what practitioners self-report.
Methodology: Skill and tool frequencies reflect analysis of 16 active job postings for AI Data Governance Manager roles, collected via our proprietary job data pipeline. Each step on the scale reflects the share of postings that explicitly mention the skill. Based on our analysis of live postings. With fewer than 100 postings, treat them as directional. Data is refreshed weekly.