Arcadian Digital · Melbourne CBD. A privately-owned, technical-first digital agency building AI integrations, data pipelines, generative AI implementations and technology transformation for clients in mining, energy, financial services, retail and technology. This page is the case for a 27-year systems builder slotting into that brief at senior IC calibration.
Arcadian's careers page is open-ended — "skilled developers and digital marketers" — so this is a speculative expression of interest, not an answer to a specific job ad. The case being made: Arcadian's service map reads like a description of work I have already designed and built — AI integrations, data pipeline development, technology transformation, generative AI implementation. The differentiator is two years of Anthropic's Claude as a genuine engineering partner on enterprise-scale architecture, not sandbox demos. The most recent build (Saputo DOT) was not adopted; the AI-assisted personal-equipment work was the integrity issue I voluntarily disclosed to corporate security on exit. The architecture is the artefact; the disclosure is on record.
One disclosure up front: I am Warrnambool-based, 100% remote since 2019, AEST. If Arcadian needs CBD-onsite five days a week, this is a mismatch. If remote-primary with planned monthly travel is on the table, the body of this dashboard sets out why I fit.
AI Integrations, Data Pipeline Development, Data Analytics & Reporting, Technology Transformation, Generative AI Implementation. Each one maps to a concrete artefact in my track record — the seven-layer DOT system, the 231-visual Power BI estate, the AI-augmented build methodology, two centralised platforms two decades apart. The agency sells the pattern; I have lived it.
Arcadian's Mining brief: predictive maintenance, IoT-enabled equipment, real-time data, automated compliance, safety analytics. Different sensors, same plumbing. Operational-data pipelines have the same shape across industries. The Saputo DOT architecture was designed against SAP ECC equipment-, batch-, and constraint-level operational data — every shift, every plant, every product modelled. That architectural experience transfers to a mining client conversation immediately.
Arcadian's own positioning: "all of our people are 100% technical so you'll never need to play Chinese whispers through an account manager." That is the environment where I produce. Pacific Brands group-level governance taught me to handle senior stakeholders without translation. Saputo taught me that the work is the artefact. The agency model where the builder is also the conversation is where my output lands hardest.
Two years with Claude as engineering partner on enterprise-scale architecture — not a sandbox demo, not a sales-deck claim. The DOT architecture, the KIM pegging engine, this site, the company-specific dashboards — all built in AI-augmented mode. When Arcadian's AI consulting practice walks into a client meeting saying "we build this way," the credibility of that claim depends on someone in the team being able to demonstrate the methodology from first principles, with working artefacts. That is what I bring to the bid.
Built solo as the single planning systems builder at Workwear Group level — three management tiers above where I sit today. Harvested data from six divisional ERPs, auto-generated supplier orders, produced branded dashboards per division and S&OP decks for the three divisional CEOs with mandatory sign-off governance.
The relevant point for Arcadian: this is the agency-grade brief, executed at scale, twenty years before the agency model named it. Six clients (the divisions) handled by one builder, with executive-grade communication and governance discipline. The pattern an Arcadian client would pay for, demonstrated.
Solo design and build of the Demand Operations Tower over nine years, on personal equipment. Seven integrated layers: source ingestion, staging, lookups, transformation, KPI calculation, presentation and governance. This is exactly the pattern Arcadian's Data Pipeline Development service sells — enterprise-grade architecture, not slide-grade.
Layers 5–7 (the most recent) were built with Anthropic's Claude as a genuine engineering partner. The system was not adopted at Saputo; the AI-assisted personal-equipment build was the integrity issue I voluntarily disclosed to corporate security on exit. The architecture is the artefact; the disclosure is on record.