{"id":8091,"date":"2025-10-26T12:12:04","date_gmt":"2025-10-26T16:12:04","guid":{"rendered":"https:\/\/datavizexplorer.org\/dir\/?page_id=8091"},"modified":"2025-12-15T01:06:02","modified_gmt":"2025-12-15T05:06:02","slug":"checklist-governance","status":"publish","type":"page","link":"https:\/\/datavizexplorer.org\/dir\/checklist-governance\/","title":{"rendered":"Free Exclusive Career Checklist: Data Governance Specialist"},"content":{"rendered":"
\n

\ud83d\udd11 Free Exclusive Career Checklist:
\nData Governance Specialist<\/h2>\n

This checklist outlines the initial steps to establish policies, roles, and standards that ensure data quality, security, and compliance<\/strong> across an organization.<\/p>\n

\n

1. Regulatory & Policy Fundamentals<\/h3>\n\n\n\n\n\n\n\n\n\n
Step<\/th>\nAction Item<\/th>\nStatus<\/th>\n<\/tr>\n<\/thead>\n
1.1<\/td>\nCore Regulations:<\/strong> Understand and explain the key provisions of at least two major data regulations (GDPR, HIPAA, CCPA) and how they relate to data handling.<\/td>\n<\/td>\n<\/tr>\n
1.2<\/td>\nData Roles & Ownership:<\/strong> Define the roles of the Data Steward, Data Owner, and Data Custodian and understand the RACI matrix for data assets.<\/td>\n<\/td>\n<\/tr>\n
1.3<\/td>\nPolicy Drafting:<\/strong> Draft a simple data retention policy that defines how long specific data categories (e.g., customer PII) must be stored.<\/td>\n<\/td>\n<\/tr>\n
1.4<\/td>\nData Risk Assessment:<\/strong> Practice classifying data by sensitivity (e.g., Public, Internal, Confidential) and determining its potential business impact if breached.<\/td>\n<\/td>\n<\/tr>\n
1.5<\/td>\nEthics in Data:<\/strong> Research and be able to explain two key ethical issues in data (e.g., algorithmic bias, privacy violation) and how governance can mitigate them.<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2. Data Quality & Metadata Management<\/h3>\n\n\n\n\n\n\n\n\n\n
Step<\/th>\nAction Item<\/th>\nStatus<\/th>\n<\/tr>\n<\/thead>\n
2.1<\/td>\nData Quality Dimensions:<\/strong> Learn the six key dimensions of data quality (Accuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness).<\/td>\n<\/td>\n<\/tr>\n
2.2<\/td>\nMetadata Creation:<\/strong> Create a business glossary with clear definitions, data formats, and ownership for 10 core business terms (e.g., Customer, Transaction ID).<\/td>\n<\/td>\n<\/tr>\n
2.3<\/td>\nData Profiling:<\/strong> Use a tool (like Python\/Pandas or a data quality tool) to profile a dataset and identify null values, outliers, and format inconsistencies.<\/td>\n<\/td>\n<\/tr>\n
2.4<\/td>\nMaster Data Management (MDM):<\/strong> Understand the concept of a “Golden Record” and the challenges of creating a single, consistent view of core entities (like Customer or Product).<\/td>\n<\/td>\n<\/tr>\n
2.5<\/td>\nGovernance Technology:<\/strong> Research the features of a common Data Catalog\/Governance platform (e.g., Collibra, Informatica, Atlan).<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

3. Professional Development & Portfolio<\/h3>\n\n\n\n\n\n\n\n\n\n
Step<\/th>\nAction Item<\/th>\nStatus<\/th>\n<\/tr>\n<\/thead>\n
3.1<\/td>\nCreate a Governance Project:<\/strong> Document a project where you defined governance for a new dataset, including policy, metadata, and quality rules.<\/td>\n<\/td>\n<\/tr>\n
3.2<\/td>\nStakeholder Communication:<\/strong> Practice explaining a complex governance policy (e.g., PII anonymization) to a skeptical business manager, focusing on risk reduction.<\/td>\n<\/td>\n<\/tr>\n
3.3<\/td>\nLearn Industry Frameworks:<\/strong> Study the **DAMA-DMBOK** (Data Management Body of Knowledge) wheel and its 11 knowledge areas.<\/td>\n<\/td>\n<\/tr>\n
3.4<\/td>\nUpdate Resume Keywords:<\/strong> Use terms like Data Governance, Data Quality, Metadata Management, Regulatory Compliance (GDPR\/HIPAA), and Data Stewardship.<\/td>\n<\/td>\n<\/tr>\n
3.5<\/td>\nData Lineage Tooling:<\/strong> Understand how data lineage tools help audit compliance and track the source of data quality issues.<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Data Career Checklist Series<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 DataViz Explorer\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Page 1 of 1\u00a0<\/span>\n<\/div>\n<\/div>\n
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\nDataViz Explorer<\/span> C.A.I.P.O Barbados Business Registration \u211687900\u00ae
\n<\/span><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\ud83d\udd11 Free Exclusive Career Checklist: Data Governance Specialist This checklist outlines the initial steps to establish policies, roles, and standards that ensure data quality, security, and compliance across an organization. 1. Regulatory & Policy Fundamentals Step Action Item Status 1.1 Core Regulations: Understand and explain the key provisions of at least two major data regulations […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"class_list":["post-8091","page","type-page","status-publish","hentry"],"yoast_head":"\nDataViz Explorer - Free Exclusive Career Checklist: Data Governance Specialist<\/title>\n<meta name=\"description\" content=\"\ud83d\udd11 Free Exclusive Career Checklist: Data Governance Specialist This checklist outlines the initial steps to establish policies, roles, and standards that\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datavizexplorer.org\/dir\/checklist-governance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DataViz Explorer - 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