Enterprise data architecture that holds under change.

Organisations typically bring me in when data related decisions become critical, but the underlying landscape is still changing.

This often includes:

• A major platform change is underway across core enterprise platforms and data domains, and data definitions, ownership, or integration patterns are no longer stable.
• Leadership decisions depend on data that is still being rebuilt, reconciled, or reinterpreted.
• Architecture exists, but delivery has moved on, and assumptions need to be revisited without stopping the programme.
• Governance frameworks are defined, but do not translate cleanly into executable controls.
• Reporting, reconciliation, or cutover decisions require judgement calls that need to be explicit and defensible.

In these situations, the challenge is rarely a lack of data or tooling.

It is the need for architectural judgement that can operate under real delivery constraints.

I work with senior leaders to make enterprise data architecture usable for real decisions, while programmes are already in motion.

That includes translating business requirements, policy intent, and operating constraints into technical structures and designs that delivery teams can execute without ambiguity.

In practice, that means:

Work typically spans ERP, HCM, Finance, CRM, customer facing platforms, and cloud data environments, in regulated, multi system contexts.

I work close to the data and close to the decisions it supports.

I make clear distinctions between raw facts, derived structures, and business judgement, so assumptions are explicit and trade-offs can be discussed openly.

Business requirements are treated as inputs, not instructions, and are translated into technical design through explicit assumptions, constraints, and trade offs.

Architecture decisions are made with delivery in mind, not in isolation. What matters is not whether a model is theoretically sound, but whether it can be executed under real constraints.

I focus on evidence that supports decision making: what is known, what is inferred, and what remains uncertain. That clarity allows programmes to keep moving without masking risk.

Engagements are hands on, accountable, and oriented around safe delivery.

My work sits inside large, multi-system programmes where data architecture decisions carry operational and regulatory consequences.

I have over fifteen years' experience working across enterprise environments, including ERP, HCM, Payroll, Finance, CRM, customer-facing platforms, and cloud data landscapes.

Engagements typically involve regulated or audit sensitive organisations, multiple delivery partners, and programmes where timelines are fixed and the tolerance for error is low.

I am brought in to operate alongside leadership and delivery teams, translating business intent into architectural and technical decisions that support real outcomes at critical points in the programme.

Selected Experience

I am engaged in one of the following ways, depending on where the organisation is in its change cycle:

Engagements are pragmatic, hands on, and scoped to the needs of the situation rather than a predefined delivery model.

If this reflects the situation you are dealing with, the simplest next step is to get in touch.