2.2 Operating Models & Structures

Operating Models and Structures in Data Governance

1. The Importance of Data Governance Operating Models

An operating model defines how decision-making authority, accountability, and roles are distributed across an enterprise. Designing an effective operating model is one of the most critical steps in establishing a sustainable Data Governance (DG) program. There is no 'one-size-fits-all' model; the choice depends on corporate culture, geographic distribution, regulatory requirements, and the degree of business unit autonomy.

The operating model determines how Data Stewards, Data Owners, and the Data Governance Council (DGC) interact to define, monitor, and enforce data policies.

2. Four Core Operating Models

The DAMA DMBoK2 describes several primary models for organizing data governance:

3. The Governance Hierarchy: Roles and Committees

Data Governance is structured across three primary levels of management: strategic, tactical, and operational.

                          +-----------------------------------+
                          |  Strategic: Executive Sponsor     |
                          |  & Data Governance Council (DGC)  |
                          +-----------------------------------+
                                            |
                          +-----------------------------------+
                          |   Tactical: Steering Committee    |
                          |      & Lead Data Stewards         |
                          +-----------------------------------+
                                            |
     +--------------------------------------+--------------------------------------+
     |                                      |                                      |
+---------------------------+  +---------------------------+  +---------------------------+
| Operational: Data Owner   |  | Operational: Data Steward |  | Operational: Custodian    |
| (Accountable for Domain)  |  | (Business Defs & Rules)   |  | (IT Systems & Storage)    |
+---------------------------+  +---------------------------+  +---------------------------+

Executive and Strategic Level

• Executive Sponsor: A C-suite leader (such as the Chief Executive Officer or Chief Financial Officer) who champions the program, secures funding, and aligns data governance with corporate strategy.
• Chief Data Officer (CDO): The executive lead responsible for the strategic vision of data management. The CDO typically chairs or co-chairs the DGC and acts as the bridge between business strategy and IT execution.
• Data Governance Council (DGC): The highest decision-making authority in the governance structure. Composed of senior business leaders (division heads, vice presidents) and the CDO. The DGC is responsible for:
  • Defining the enterprise data strategy.
  • Approving corporate data policies and standards.
  • Prioritizing major data initiatives and resolving funding requests.
  • Serving as the final escalation point for cross-functional data disputes.

Tactical Level

• Data Governance Steering Committee: Composed of mid-level management representatives and lead data stewards. They review drafted policies, coordinate data quality initiatives, and manage the enterprise data glossary.
• Data Governance Office (DGO): A dedicated team of full-time governance professionals who facilitate meetings, maintain documentation, provide training, and track governance KPIs (Key Performance Indicators).

Operational Level

• Data Owners: Business leaders accountable for a specific data domain (e.g., Customer, Product, Asset). They have the authority to authorize data access, approve definitions, and make final decisions regarding data quality thresholds.
• Data Stewards: Subject matter experts (SMEs) from the business units who define data elements, write data quality rules, and work to resolve operational data issues.
• Data Custodians (Technical Stewards): IT professionals (database administrators, data engineers, security administrators) responsible for the physical storage, lifecycle operations, and technical security of the data assets.

The Data Governance Office (DGO) Facilitation Role

The DGO does not make policies; it facilitates their creation, adoption, and tracking. Think of the DGO as the program management office (PMO) for data governance. It provides templates, manages tools (such as metadata repositories or data catalogs), conducts data management maturity assessments, and reports compliance status to the DGC.

Escalation Path and Conflict Resolution

A critical function of the operating model is the escalation path. For example, if the Sales division defines 'Customer' differently than the Finance division, and the lead stewards cannot reach agreement at the tactical level, the conflict escalates to the DGC. The DGC, representing enterprise-wide business leaders, makes the final, binding decision. This structure prevents gridlock and ensures alignment with the corporate strategy.

Exam Tip: The CDO establishes the vision, the DGC sets the policy, the Data Owner is accountable for domain-specific data, the Data Steward defines business rules, and the Data Custodian manages the physical implementation. The CDO is a strategic business role, not a technical IT role.