Hello! Welcome to the third lesson in our Foundations of Data Management module.
In our previous lesson, we explored the DAMA-DMBOK framework, giving us a "map" of the 11 Knowledge Areas. We saw how Data Governance sits at the center, coordinating all other data management activities. Today, we shift our focus from the map to the people who navigate this landscape.
Your goal for this lesson is to identify the roles and responsibilities of data management professionals. Understanding who does what is fundamental to making any data management initiative successful. In your work with contract management, you know that clear roles—who drafts, who approves, who executes—are essential for compliance and avoiding costly errors. The same principle applies directly to managing data as a critical asset.
1. Data Roles vs. Job Titles
Before we dive into specific roles, it's important to clarify a practical point. The titles we'll discuss, like "Data Owner" or "Data Steward," describe sets of responsibilities. In many organizations, these responsibilities are assigned to existing employees rather than creating entirely new full-time positions. For example, a senior manager might become a Data Owner for the data their department produces, in addition to their primary job.
The Datamasters: Data Owners vs. Data Stewards vs. Data ...
This article from Satori provides an excellent introduction to this concept and the three core governance roles.
Please read the short introductory section titled 'The Three Key Roles in Data Governance'. Focus on the distinction between a 'role' and a 'job title'.
2. The Core Governance Trio: Owner, Steward, and Custodian
While many roles contribute to data management, three are central to data governance and are often a source of confusion: the Data Owner, the Data Steward, and the Data Custodian. Let's clarify their distinct functions.
The Data Owner: The Accountable Leader
The Data Owner is a senior leader who is ultimately accountable for a specific data asset (e.g., customer data, product data, financial data). They don't manage the data day-to-day, but they hold the authority and budget to make strategic decisions about it.
Key responsibilities include:
- Approving data policies and definitions.
- Ensuring data quality and security meets business and regulatory needs.
- Sponsoring data improvement projects.
- Resolving escalated data-related issues.
What is the difference between Data Owners and Data Stewards?
To understand the distinction between Owners and Stewards, let's hear from The Data Governance Coach. This video clearly defines the senior, accountable nature of the Data Owner.
Watch the segment from 01:16 to 01:52. Pay close attention to the description of the Data Owner as a senior stakeholder with authority and budget.
The Data Steward: The Subject Matter Expert
The Data Steward is a subject matter expert (SME) who is responsible for the day-to-day management and quality of a specific data asset. They are the go-to person for understanding what the data means, how it should be used, and what the quality rules are. While the Owner is accountable (big picture), the Steward is responsible (hands-on).
What Is A Data Steward | What Does It Mean To Be A Data Steward?
This video from Lights On Data offers a great analogy to understand the Data Steward role.
First, watch from 01:14 to 02:24 to hear the 'art gallery curator' analogy, which beautifully explains the SME aspect. Then, watch from 05:16 to 06:55 for a detailed breakdown of a Data Steward's five main roles, including ensuring quality and managing metadata.
Key responsibilities include:
- Defining business terms and quality rules for their data domain.
- Monitoring data quality and investigating issues.
- Contributing to metadata in the data catalog.
- Guiding others on the correct use and interpretation of the data.
The Data Custodian: The Technical Guardian
The Data Custodian is typically a technical (IT) role responsible for the operational management of the systems where data is stored. They ensure the data infrastructure is secure, available, and efficient. They don't decide what the data quality rules are, but they might implement the systems that enforce those rules.
Key responsibilities include:
- Implementing and managing data storage (e.g., databases).
- Performing backups and recovery.
- Implementing technical security controls (e.g., access permissions, encryption).
- Managing the technical environment based on requirements from Owners and Stewards.
Putting It All Together
The distinction between these three roles is critical for effective governance. The Data Owner provides strategic direction, the Data Steward provides business context and oversight, and the Data Custodian provides the technical implementation.
This image provides a fantastic summary of how these roles differ across various data management activities.
Test your understanding!
Imagine an engineering firm is managing a central list of "Approved Subcontractors." A data quality check reveals that the 'Liability Insurance Expiry Date' field is often blank or outdated, creating significant contractual risk.
How would the core governance trio respond? Match the action to the role (Data Owner, Data Steward, Data Custodian).
- Implements a mandatory field requirement in the subcontractor database and sets up automated email alerts for upcoming expiry dates.
- Is ultimately accountable to the company's leadership for the financial and legal risks caused by the poor data quality. They approve the budget for a data clean-up project.
- Works with the legal team to define the business rule (e.g., "insurance must be valid for the duration of any active project"), contacts subcontractors to get the correct dates, and oversees the manual correction of the data.
Show answer
- Data Custodian: This is a technical implementation of a business rule.
- Data Owner: This person (e.g., Head of Contracts or Procurement) is accountable for the business impact and has the authority to approve resources.
- Data Steward: This person (e.g., a Senior Contract Manager) is the SME responsible for defining the rule, understanding the data, and ensuring its quality.
3. Other Key Data Professionals
Beyond the core governance trio, a successful data program relies on a team of specialists. Let's briefly identify their roles.
Data Roles and the DAMA Framework
The article 'Data Roles and the DAMA Framework' provides a comprehensive overview of the key professionals involved in data management. It will serve as our guide for this section.
Please read the sections for 'Data Architect', 'Data Engineers', 'Data Analyst', and 'Data Governance Manager'. For each role, focus on its primary contribution to the data lifecycle.
Here is a summary of these key roles:
- Data Architect: Designs the enterprise's data blueprint. They create the models and standards that govern how data is collected, stored, arranged, integrated, and used. They are the "city planners" for data.
- Data Engineer: Builds and maintains the data infrastructure. They are the "construction crew" who build the data pipelines (ETL/ELT processes) that move and transform data, making it available for analysis.
- Data Analyst: Explores and interprets data to find actionable insights. They are the "interpreters" who translate raw data into business intelligence through reports, dashboards, and visualizations.
- Data Governance Manager: Manages the overall data governance program. They are the "program managers" who facilitate the work of owners and stewards, monitor compliance with policies, and report on the program's effectiveness.
Conclusion
In this lesson, you learned to identify the key roles and responsibilities that bring a data management program to life. Just like a well-run project, success depends on everyone understanding their part and working together.
Key Takeaways:
- Data management functions are often defined as roles or sets of responsibilities, not always as distinct job titles.
- The core governance trio consists of the Data Owner (accountable leader), Data Steward (responsible SME), and Data Custodian (technical guardian).
- The key distinction is accountability (Owner) vs. responsibility (Steward).
- Other crucial roles like Data Architects, Engineers, and Analysts provide specialized skills to design, build, and use the organization's data assets.
Preview of the next lesson: We have now looked at the "why" (business value), the "what" (DAMA framework), and the "who" (data roles). In the next lesson, we will go back to a fundamental concept and refine our understanding of what we are actually managing by learning to distinguish between data, information, and knowledge in an organizational context.