SaaS platforms · AI systems · Multi-tenant architecture
Product-led transformation, stakeholder alignment, and metrics that match the mandate quality, pace, and recurring revenue where the model fits.
17+ years: AI monitoring (edge, cloud, agents), MRP SaaS, ledger-based FinTech, distributed energy, and multi-agent content platforms.
I translate complex systems into scalable, commercially viable products. With key focus on product strategy, platform architecture, and delivery execution; producing outputs that are deployment-ready and commercially defensible.
Quick profile
At a glance
For agencies & recruiters
Copy-ready snapshot for submissions and client briefs - CV, profile, and engagement basics in one block.
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“What people buy in senior product leadership is judgment under ambiguity and systems you can demo, explain, and audit.”
About
Strategy, architecture literacy, and accountable delivery - so complex domains become systems you can fund, ship, and explain under scrutiny.
Not a developer portfolio. I am a product and platform leader who reads architecture, pressures the business model, and stays with delivery until production - not slides - tells the story.
AALODS (AI monitoring, incident lifecycle, audit), BakeSmart (MRP/ops, FX, CRM pipeline, multi-tenant SaaS), REIOS (fractional investing, wallets, ledger payouts), DEIP (distributed energy, telemetry, settlement), Content Creation Crew (multi-agent orchestration, streaming UX, tiered SaaS) - each written for scan-first recruiters and technical depth on demand.
Own outcomes and boundaries - strategy, roadmap slices, platform seams, and the calls that keep revenue, risk, and engineering coherent.
Written trade-offs, explicit sequencing, and cadence that yields demo-ready proof - not narrative drift masked as agility.
Regulated and revenue-grade SaaS: multi-tenant cores, integrations, and architectures that survive operations and audit - not toy apps.
Panels hiring senior Product Owner / TPM leadership across EU, UK, and US - interim, contract, or full-time when the mandate matches.
Portfolio
Five production-grade platforms - scoped for strategy, architecture, and delivery credibility across AI, FinTech, manufacturing, energy, and AI-native workflows.
Data platform & reporting
Governed operations reporting: medallion pipeline, versioned KPI engine, lineage back to source, and executive, unit and kiosk delivery surfaces.
AI & operations
AI monitoring (MaaS): edge + cloud inference, full incident lifecycle, agentic orchestration, and audit-ready evidence.
Manufacturing SaaS
Manufacturing SaaS: MRP and shop-floor operations, centralized FX, CRM-led growth pipeline, multi-tenant platform - deployed with production realism (e.g. Railway).
FinTech
Fractional property investing: wallets, ledger-integrity payouts, multi-currency money movement, and audit-ready financial narratives.
Energy & IoT
Distributed energy: high-volume telemetry, orchestration across assets, settlement logic, compliance controls, edge-cloud operations.
AI & content
Multi-agent AI orchestration and streaming UX for content production - tiered SaaS packaging on a service-oriented core.
Evidence
Structured for recruiters, hiring managers, and technical reviewers - problem framing, solution shape, leadership scope, and the capabilities that mattered in delivery.
Primary case study
Manufacturing SaaS, centralized FX, CRM-connected growth pipelines, and deployment realism across operations - not a slide-deck platform story.
A group with eight P&L units reported from spreadsheets assembled by hand. Definitions drifted between units, figures could not be traced back to source, and month-end close went on reconciling numbers rather than acting...
Raw files land immutably, then are cleaned and conformed before a versioned engine computes roughly 400 group and unit metrics. A quality gate blocks publication when the inputs are not good enough. Every published figur...
End to end: BRD, PRD and solution blueprint, then delivery through to a live staging environment with a nine-role UAT pack signed off.
Food manufacturers juggle planning, inventory, costing and suppliers. Currency logic is scattered across modules, and nothing formally connects marketing interest to production capacity.
A vertical SaaS spine for MRP and operations. One currency service sits behind the gateway, so purchasing and reporting agree. CRM events feed demand and trials into real capacity decisions.
Product owner / TPM across discovery, PRD and architecture narrative, delivery sequencing, and launch: aligning operations, commercial, and platform teams on what ships first.
Security teams still review CCTV by hand. That is slow and expensive, and it leaves little evidence when a regulator or insurer asks what happened.
Monitoring as a service. Detection runs at the edge and is validated in the cloud. Agents escalate each incident end to end, and immutable evidence explains every outcome.
End-to-end product ownership: vision and roadmap, incident workflows, architecture alignment with compliance and scale, and delivery trade-offs with engineering and ops stakeholders.
Fractional property investing only works if positions, wallets and payouts are legible. Once currencies and settlement paths multiply, everyone has to trust the ledger.
A money-core platform: a wallet model investors can follow, payouts with ledger integrity, and first-class multi-currency flows. Reconciliation and audit start from the product, not a shadow spreadsheet.
Proposition through delivery: partnering engineering, finance/compliance, and commercial leads on what to build first so trust scales with the book.
Distributed assets flood operators with telemetry. Without orchestration and settlement discipline, grids and portfolios cannot coordinate, and proving outcomes to markets or regulators stays fragile.
An intelligence layer that ingests telemetry, orchestrates dispatch, encodes settlement and embeds compliance guardrails. It is built for edge and cloud together, not one control room.
Platform leadership across domain model, roadmap, and stakeholder translation - balancing physical constraints, regulation, and roadmap velocity.
Teams need repeatable multi-channel content without chaining brittle tools together. Latency, quality and tiered customer promises still have to hold when agents do the heavy lifting.
Multi-agent orchestration behind a streaming-first experience. One brief fans out to blog, social and media outputs, packaged by tier: speed where it helps, guardrails where brand and policy matter.
Product-led definition of orchestration flows, streaming interaction model, packaging, and roadmap - balancing model cost, reliability, and what customers will pay for at each tier.
Writing
Each piece teaches a method - what it is, when it applies, and how to tell whether it worked.
Treating adoption as a measurable question rather than an arguable one - asking what would make someone refuse, and why recruitment evidence does not predict retention.
6 min read
Governed metric layers - versioned definitions, lineage as a control, and why a percentage is never averaged.
8 min read
Turning a service business into a product business - layering edge inference, agentic orchestration and role-based delivery onto existing operations.
4 min read
Approach
How I lead when the mandate is platform-heavy: strategy, architecture trade-offs, and execution alignment - what 'good' means in production, not in Jira volume.
Durable platforms and workflows beat hero features that fragment data and ownership. Coherent systems make trade-offs visible and scale with the business.
Packaging, pricing, compliance, and support are constraints - not a postscript. I align services and boundaries with how money and accountability really move.
Credibility comes from what survives engineering and ops. Honest sequencing, explicit risk, and increments you can show beat timeline optimism.
Working surfaces expose integration judgment and quality bars fast. Where stakes are high, I push demo-ready slices so panels judge substance.
Resume
Senior Product & Platform Consultant with deep experience across AI, data platforms, and digital transformation - product strategy, architecture, and enterprise delivery for Ireland & UK engagements.
I help organisations conceive, design, build and scale digital products, AI platforms and enterprise technology - from market discovery and product strategy through architecture, Agile delivery, governance and go-to-market - bridging executive stakeholders and engineering with receipts, not jargon.
FAQ · hiring teams
Straight answers for panel prep - how engagements work, what 'good' looks like, and how to validate fit quickly.
Clarity on outcomes and constraints. A roadmap slice you can defend. Working rituals with engineering and stakeholders. And at least one demo-ready increment that proves delivery judgment, not slideware.
Decisions framed in writing, trade-offs made explicit with options, and a cadence that forces prioritization. Debate then compresses around facts and sequencing rather than volume of opinions.
Senior product leader with architecture literacy: enough to challenge designs, partner with principal engineers, and keep scope honest - without replacing engineering ownership.
Interim leadership, defined-scope platform or discovery phases, and contract-to-hire when mutual fit needs a runway. UK engagements: outside and inside IR35 both considered when the mandate is clear.
Role charter, success metrics, stack and team shape, regulatory or compliance boundaries, and timeline. The hiring pack on this page is built to paste into client emails as-is.
Get in touch
I take on Senior Product & Platform Consultant, product leadership and platform delivery work across Ireland and the UK. Remote or hybrid, fixed or rolling contracts, where product judgment and technical credibility both matter.
For intro calls, email with your time zone and two or three candidate slots. A self-serve booking link will be added here when it is live.
Pick a slot that suits your time zone - ideal for agency screeners and hiring teams who work from calendars.
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Add role title, market or time zone, contract vs full-time, and timeline so we can respond with fit and availability quickly.
Direct line for recruiters and hiring teams. Replies are typically within a few business days.
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