Portfolio confidence
Turn fragmented delivery signals into a view leaders can use to make decisions about focus, scope, capacity and risk.
I work where strategy meets execution: creating portfolio visibility, strengthening planning and governance, intervening when important programs drift, and improving the operating systems around teams so delivery becomes easier to reason about and lead.
Turn fragmented delivery signals into a view leaders can use to make decisions about focus, scope, capacity and risk.
Reset alignment, governance and the delivery path when critical cross-team initiatives are drifting or losing clarity.
Strengthen planning, delivery practices and organisational mechanisms so teams need less heroics and leaders get better signal.
My best work tends to sit in the gaps between teams, functions and leadership layers: where priorities compete, delivery confidence is weak, ownership is blurred, or the organisation lacks the mechanisms to see what is really happening.
Five examples of the same leadership pattern: making complex product and technology environments easier to lead and more reliable at turning priorities into outcomes.
Reset the problem, governance and delivery path across five engineering teams and multiple business functions, creating a focused route to customer validation.
Created a portfolio intelligence mechanism connecting scope movement, team focus, throughput and probabilistic forecasting so leadership could intervene earlier.
Built an executive operating view across flow, quality and delivery signals so leadership conversations focused on the teams and systems that genuinely needed attention.
Make where engineering time and cost are going visible enough to inform trade-offs.
Removed a recurring administrative process by building the missing operating mechanism.
Cross-team initiatives were difficult to reason about from Jira alone. Leadership could see activity, but not whether scope movement, split focus and team throughput were changing the likely delivery outcome.
Waveline, an internal portfolio intelligence tool connecting roadmap progress, scope movement, probabilistic forecasting, team focus and a forward execution plan using Jira data.
The conversation moved from reporting status to making explicit trade-offs about focus, scope and intervention before an initiative went off the rails.
Autonomous teams were making sensible local decisions, but leadership did not have a reliable portfolio view of where engineering time and money were actually being invested. Strategic initiatives told only part of the story.
A portfolio level investment view connecting engineering time and cost to initiatives, team allocation, Growth, Scale, Keep lights on and the valuable work that sat outside the core roadmap.
Leadership could move from asking what teams were working on to having a much better conversation about whether capacity was aligned to the outcomes that mattered.
A strategically important initiative spanning five engineering teams and multiple business functions was drifting toward a large delivery without a clear early customer learning milestone. I stepped in to rebuild the operating structure, narrow the scope and create a path to meaningful validation with schools.
The initiative was moving further from customer validation until the problem, governance and first learning milestone were reset.
EP Create replaced a legacy content creation solution that could not scale, failed accessibility expectations and had become difficult to change. The platform was foundational because it unlocked future opportunities including Senior Exam Revision and Agentic Authoring.
As the follow-on work progressed, product direction was inconsistent, requirements shifted and teams lacked a coherent view of the problem they were solving. The initiative was trending toward a large solution without a clear early learning milestone.
When the Head of Product asked me to step in, I rebuilt the operating structure from scratch: a clear problem statement, leading and lagging indicators, a RACI, decision and collaboration mechanisms, cross-team governance and a practical cadence for surfacing progress and trade-offs.
I introduced an all-in sprint review built around a steel thread. Teams worked toward enough shared foundation to reduce dependencies, then walked the end-to-end flow together so stakeholders could see exactly what existed, what was missing and what had to happen next.
In February I brought together the product, engineering and design trio from each of the contributing teams, alongside key stakeholders including the Head of Engineering and Head of Design, to map the broader three-year ambition and identify the first customer learning milestone that actually mattered. Six large delivery elements were reduced to the two critical parts of the flow.
The goal was to validate whether AI-driven exam revision could produce credible, useful outcomes that teachers and students could trust, and whether those outcomes could positively influence learning growth.
The initiative reached schools by May. Instead of continuing down a big-bang path and consuming substantial additional investment before customers could validate the solution, the teams aligned around a focused milestone with a clear reason to exist.
The recovery restored strategic clarity, reduced commercial risk and created a concrete point of learning for the next investment decision.
Engineering data existed across delivery, quality and operational systems, but individual metrics did not provide a coherent view of organisational health. The challenge was turning signals into something leadership could act on.
An engineering performance scorecard bringing flow, deployment, cycle time, quality, repository and team signals into one executive operating view, with drill-down detail behind the headline measures.
Leadership could scan the organisation for meaningful exceptions, understand the evidence behind them and focus conversations on teams or systems that genuinely needed attention.
I have led delivery and quality capability directly, operated as a senior partner across an 80-person engineering organisation, and helped teams navigate complex change while strengthening planning, collaboration and delivery ownership.
Make reality visible. Find the constraint. Create the mechanism that changes it. Push clarity down rather than control. Leave teams with a better operating system than the one you found.