Experience / Profile

I have over 20 years’ experience working with SAP and enterprise applications across complex, operationally critical environments. My background spans hands on delivery, application ownership, and senior advisory roles, allowing me to operate comfortably between business leadership, IT teams, and delivery partners.

I’ve worked across the full SAP lifecycle, from early discovery and process design through implementation, integration, stabilisation, and long term optimisation, often in environments where SAP is business critical rather than experimental.

Industry experience

What I bring

Deep SAP experience across core modules including SD, MM, PP, PM, WM and FI-CO, with particular strength in asset intensive and operational settings

Strong technical foundation covering SAP configuration, Basis level support, integrations (IDoc, EDI, APIs), and reporting

Proven application ownership including governance, prioritisation, budget control, and Key User leadership

Clear business focus, translating operational and commercial needs into practical SAP solutions that actually get used

I’ve delivered SAP and enterprise application work across a range of sectors, including:

Oil & Gas and Utilities – supporting complex, regulated environments with high availability and safety requirements

Manufacturing and Automotive – SAP support and optimisation across production, logistics, maintenance, and supply chain

FMCG – high-volume operational SAP environments with strong commercial and distribution focus

Software and Services – business analysis, CRM implementation, and system rationalisation

Typical engagements

Clients usually bring me in when they need:

Ownership and stabilisation of an existing SAP landscape
Senior SAP support without vendor dependency
Delivery or recovery of SAP and enterprise application initiatives
A trusted bridge between business stakeholders and technical teams
Independent advice on SAP direction, integration, or improvement priorities

I’m used to working in environments where clarity, accountability, and delivery matter more than buzzwords. My approach is pragmatic, technically grounded, and focused on leaving the SAP landscape easier to run than when I arrived.

Capability summary

SAP modules

FI-CO — general ledger, accounts payable and receivable, cost and profit centre accounting, asset accounting, tax determination
SD — order-to-cash, pricing, rebates, billing, delivery
MM — procurement, inventory, release strategies, catalogue and supplier collaboration
PM/EAM — notifications, orders, task lists, maintenance plans, functional locations and equipment
PP — production orders, MRP, bills of material
WM — warehouse structure, pick and put-away strategy, transfer orders
Project System

Platforms

SAP ECC and S/4HANA
SAP Business Technology Platform and SAP Integration Suite
SAP BW, Business Objects and SAP Query
Microsoft Power Platform

Integration

IDoc and EDI
REST and SOAP APIs
SAP Integration Suite
Third-party platform integration including CRM, service desk and enterprise asset management

Delivery and governance

Requirements workshops and functional design specifications
Configuration, testing, cutover and hypercare
BPMN 2.0 process modelling
Key user network leadership
Enhancement budget ownership
Authorisations, segregation of duties and access governance

Current focus: AI in SAP

SAP's direction of travel is toward embedded AI and agent-based execution through Joule, and most organisations running SAP will face a decision about it within the next eighteen months. I'm tracking that closely — I've completed formal AI prompting training and am working through Joule's practical requirements and limitations.

What I offer here is an independent read rather than an implementation pitch. AI in ERP inherits whatever state your master data and process discipline are in, and no amount of model capability compensates for inconsistent postings, stale equipment records or undocumented process variants. For most organisations, the most useful thing right now is an honest assessment of how ready their SAP estate is, and what the groundwork would cost before the AI conversation is worth having.