Setting up professional data teams within specified domains is essential because these teams cannot rely solely on volunteer efforts. A professional team ensures accountability, efficiency, and domain expertise, crucial for the successful management of data.

Key points

1. Management fails without dedicated roles: “Part-time volunteer” ownership produces decay.

2. Minimum viable team is small: Product manager, analyst, and engineer is enough to start.

3. The DPM is the accountability anchor: Someone must own outcomes, not just delivery.

Ideal Team Composition

One practical way to frame the data product manager role in a managed operating model is as the person accountable for:

• Identifying data needs and opportunities.
• Gathering feedback and doing analysis.
• Assessing potential business value.
• Defining requirements (batch vs real-time, basic quality rules).
• Planning the data product.
• Ensuring documentation plus security and privacy basics are covered.
• Measuring and improving the product over its lifecycle.

Ideal Team Composition

A minimal viable domain data team ideally consists of three key roles: a data product manager, a data analyst, and a data engineer. This trio forms a robust foundation to ensure the operational effectiveness of a domain. While larger teams offer additional resources, doubling roles and increasing efficiency, a basic configuration can still function effectively, sometimes requiring only half a full-time equivalent (FTE) for each role.

Managing Resource Constraints

In situations where resources are limited, adjustments can be made to accommodate operational demands. For instance, a data analyst could temporarily undertake the responsibilities of a data product manager. Such flexibility is vital in initiating and maintaining domain operations even under constrained resources.