Quality Engineering & Fractional Leadership
Fractional leadership
for quality and delivery, without a full-time hire.
Fractional leadership is sustained direction across quality and delivery: I advise your team, or lead an agreed area. It matters when you aren’t ready for a full-time hire, or need experienced support through a period of change.
The real question
Whether quality is a team’s property or a department’s job.
From the Quality Maturity AssessmentPeople & Quality Culture
01Questions
The questions
it answers.
Do I advise, or lead an agreed area?
The level of involvement is settled: I work with you regularly as an adviser, or join the team to lead an agreed area.
What does your team keep?
Team leads and engineers are coached as the work goes, so what changes stays with your team.
Who owns each improvement?
Each improvement on the roadmap has a named owner in your team.
Is the plan turning into progress?
Progress has agreed measures, so you can tell whether quality improved last quarter.
02Approach
How I work
on it.
Agree the remit and involvement
I start by agreeing with you the area of quality and delivery I advise on or lead, the responsibilities and the level of involvement.
Set priorities and ownership
I work alongside your team to set priorities, establish who owns each improvement and coach the team leads and engineers doing the work.
Turn plans into visible progress
I keep oversight of delivery risks and agreed improvements, show progress in visible steps and make clear what your team keeps.
What the engagement provides
- An agreed remit: the area I advise on or lead, the priorities, the responsibilities and the level of involvement.
- A practical roadmap with clear ownership and measures of progress.
- Coaching for team leads and engineers.
- Ongoing oversight of delivery risks, release confidence and agreed improvements.
What the first month can cover
The scope depends on your team and the agreed involvement. A starting engagement can include:
- Reviewing release risks, test reliability, delivery bottlenecks and current ownership with your CTO, engineering managers and QA leads.
- Establishing a baseline from existing delivery and quality data.
- Agreeing the first priorities, measures of progress and responsibilities.
- Starting the highest-priority improvement with the team and setting a regular review cadence.
Advisory support or leadership responsibility
Advisory: I review evidence, challenge plans and coach your existing leaders. Your team retains day-to-day direction and delivery responsibility.
Fractional leadership: I take responsibility for an agreed quality remit, set direction and coordinate improvement work with engineering and QA leads. Decision authority, escalation routes and team responsibilities are explicit from the start.
Working remotely with your team
We agree the level of involvement, collaboration hours and communication rhythm before starting. Work is documented, progress is reviewed regularly and decisions remain accessible across distributed teams. The engagement can support an existing quality leader, provide leadership during a transition or establish direction where the role does not yet exist.
03Evidence
Case studies from
leadership roles.
Experience from my employed leadership roles that informs how I support consulting clients.
Case studies
Modernising quality engineering at a UK property-technology company.
I owned the regional quality strategy and led distributed QA leads, mentoring QA leaders and advising engineering leadership on capability, investment and resourcing.
Sustaining quality across two mobile apps and their content delivery platform.
I led quality across two mobile apps and the content platform behind them, and my team tested the platform and its integration with the apps.
Making AI evaluations trustworthy at an AI-native language-technology platform.
As Head of Customer Trust, I reviewed the AI evals to make sure they tested the features, not just the judges’ criteria, and introduced dashboards on the evals and on live customer data so that improvements had data behind them.
Want to improve reliability
and delivery?
Describe the team, the pipeline and what is getting in the way.