🔑 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 (GDPR, HIPAA, CCPA) and how they relate to data handling. | |
| 1.2 | Data Roles & Ownership: Define the roles of the Data Steward, Data Owner, and Data Custodian and understand the RACI matrix for data assets. | |
| 1.3 | Policy Drafting: Draft a simple data retention policy that defines how long specific data categories (e.g., customer PII) must be stored. | |
| 1.4 | Data Risk Assessment: Practice classifying data by sensitivity (e.g., Public, Internal, Confidential) and determining its potential business impact if breached. | |
| 1.5 | Ethics in Data: Research and be able to explain two key ethical issues in data (e.g., algorithmic bias, privacy violation) and how governance can mitigate them. |
2. Data Quality & Metadata Management
| Step | Action Item | Status |
|---|---|---|
| 2.1 | Data Quality Dimensions: Learn the six key dimensions of data quality (Accuracy, Completeness, Consistency, Timeliness, Validity, Uniqueness). | |
| 2.2 | Metadata Creation: Create a business glossary with clear definitions, data formats, and ownership for 10 core business terms (e.g., Customer, Transaction ID). | |
| 2.3 | Data Profiling: Use a tool (like Python/Pandas or a data quality tool) to profile a dataset and identify null values, outliers, and format inconsistencies. | |
| 2.4 | Master Data Management (MDM): Understand the concept of a “Golden Record” and the challenges of creating a single, consistent view of core entities (like Customer or Product). | |
| 2.5 | Governance Technology: Research the features of a common Data Catalog/Governance platform (e.g., Collibra, Informatica, Atlan). |
3. Professional Development & Portfolio
| Step | Action Item | Status |
|---|---|---|
| 3.1 | Create a Governance Project: Document a project where you defined governance for a new dataset, including policy, metadata, and quality rules. | |
| 3.2 | Stakeholder Communication: Practice explaining a complex governance policy (e.g., PII anonymization) to a skeptical business manager, focusing on risk reduction. | |
| 3.3 | Learn Industry Frameworks: Study the **DAMA-DMBOK** (Data Management Body of Knowledge) wheel and its 11 knowledge areas. | |
| 3.4 | Update Resume Keywords: Use terms like Data Governance, Data Quality, Metadata Management, Regulatory Compliance (GDPR/HIPAA), and Data Stewardship. | |
| 3.5 | Data Lineage Tooling: Understand how data lineage tools help audit compliance and track the source of data quality issues. |
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