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Quality engineering manager balancing team capability platform investment and product risk
SQA, Test Automation & SDET · Course #069

Software Quality Engineering Management

The purpose of Software Quality Engineering Management is to help participants manage quality-engineering capability, portfolios, platforms and evidence across product teams without centralising quality ownership with methods they can defend and adapt. Core ideas such as managing quality engineering as a system, operating models and capability mapping, roles and workforce planning are explored through focused demonstrations and applied tasks. Participants design service and platform models, plan skills and capacity, govern test assets and environments, review reliability and flow measures and manage investment, vendors and improvement work. Learners also consider quality risks, useful documentation and the hand-offs required across a modern software team. They create a management system connecting people, technology and product risk to clear outcomes and sustainable operating choices.

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Overview

The purpose of Software Quality Engineering Management is to help participants manage quality-engineering capability, portfolios, platforms and evidence across product teams without centralising quality ownership with methods they can defend and adapt. Core ideas such as managing quality engineering as a system, operating models and capability mapping, roles and workforce planning are explored through focused demonstrations and applied tasks. Participants design service and platform models, plan skills and capacity, govern test assets and environments, review reliability and flow measures and manage investment, vendors and improvement work. Learners also consider quality risks, useful documentation and the hand-offs required across a modern software team. They create a management system connecting people, technology and product risk to clear outcomes and sustainable operating choices.

Course Highlights

Multi-team QE management model

Capability and workforce planning

Automation platform stewardship

Environment and data services

Outcome and flow measures

Investment and improvement portfolio

Modules & Curriculum

Managing quality engineering as a system

Operating models: embedded, centralised, federated and platform

Capability mapping, roles and workforce planning

Automation platforms, standards and developer experience

Environments, test data and service ownership; reliability, maintenance and technical-debt governance

Measures across quality, flow, cost and customer impact

Portfolio prioritisation, budgets and vendor decisions

Change adoption, communication and leadership alignment; management system and improvement roadmap

Learning Outcomes

  • Design a federated or centralised quality-engineering operating model.
  • Assess capability needs across roles, teams and products.
  • Govern shared automation, environment and data services.
  • Allocate investment using risk, value and maintenance evidence.
  • Select measures linking quality, flow and customer outcomes.

Ready to Build Your Future-Ready Skills?

Manage quality engineering as a measurable capability shared across product teams.

Enroll Interest

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