Product Management - Organisation

From The Foundation for Best Practices in Machine Learning
Organisation Best Practices > Product Management - Organisation


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Internal Organisation Management & Oversight

Objective
To establish managerial Procedures to control and oversee the design, development and implementation of Products.

3.2. Product Management - Organisation

Objective
To establish Procedures to control the design, development and implementation of Products.
Item nr. Item Name and Page Control Aim
3.2.1. Product Lifecycle Guide

Data Science Managers and, when relevant, Product Owners should derive a clear Product Lifecycle Guide for the Organisation.

To ensure a clear organisational Product Lifecycle Guide to warrant the effective management and oversight of Machine Learning.

3.2.2. Product Lifecycle and Workflow Descriptions

Having consideration for the Product Lifecycle Policy, Product Definitions, and the Product Risk Classification Portfolio, Product workflows ought to be derived, developed, and documented by Data Science Managers, Product Owners and, when relevant, Product employees for each Product.

To ensure clear Lifecycle and Workflows for Products to warrant their effective management and oversight.

3.2.3. Reviewed of Product Lifecycle Guide

The Product Lifecycle Guide should be reviewed and approved by Data Science Managers and, when relevant, the Management Committee.

To ensure managerial oversight of the Product Lifecycle Guide.

3.2.4. Reviewed of Product Lifecycle and Workflow Description

Product Lifecycle and Workflow Descriptions should be reviewed and approved by Data Science Managers and, when relevant, the Management Committee.

To ensure managerial oversight of Product Lifecycle and Workflow Descriptions.

3.2.5. Product Lifecycle and Workflow Procedures

Each Product ought to derive, develop and implement a set of Procedures to operationalise Product Lifecycle and Workflow Descriptions.

To ensure the operationalisation of Product Lifecycle and Workflow Descriptions.

3.2.6. Reviewed of Product Lifecycle and Workflow Procedures

The Product Lifecycle and Workflow Procedures should be reviewed periodically, or if significant changes occur, by the Product Team to ensure their continued effectiveness, suitability, and accuracy.

To ensure that Product Product Lifecycle and Workflow Procedures are kept up-to-date.

3.2.7. Product Employee Roles and Responsibilities

Data Science Managers and Product Owners ought to define and allocate to Product employees defined responsibilities and roles in terms of Product Lifecycle and Workflow Descriptions.

To establish clear employee responsibilities and custodies in terms of Product Lifecycle and Workflow Descriptions.

3.2.8. Data Science Managers Reports

Frequent reports detailing Product progress, changes and risks ought to be made to the Management Committee by Data Science Managers and, subsequently, reviewed timeously.

To ensure the clear communication and management of Product deliverables to the Management Committee.

3.2.9. Product Owners Reports

Frequent reports detailing Product progress, changes and risks ought to be made to the Data Science Managers and Business Stakeholders by Product Owners and, subsequently, reviewed timeously.

To ensure the clear communication and management of Product deliverables to Data Science Managers and Business Stakeholders.