Jagminder Pal Singh

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Connecting the dots between technology and impact

ENTERPRISE CTO · FOUNDER · MELBOURNE, AUSTRALIA

Technology Leader. Founder. Builder.

18 years turning technology decisions into competitive advantage.
Enterprise CTO at a $60M–$70M national enterprise.
Founder & Technology Consultant.

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CORE BELIEFS

Three beliefs that shape every decision.

01

THE FIRST BELIEF

Technology is only valuable when it changes behaviour.

The Microsoft 365 transformation that improved productivity by 25% wasn't a technology deployment — it was a change management programme. The software was incidental.

02

THE SECOND BELIEF

The biggest risk in AI adoption is starting with a solution instead of a problem.

I've seen enterprises spend millions on AI tools that automate processes nobody wanted in the first place. I start with the operational problem, then find the technology that solves it — not the other way around.

03

THE THIRD BELIEF

The best architecture is the one the organisation can actually sustain.

I replaced a $15K/month custom development dependency with $2.5K/month SaaS — not because it was cheaper, but because the team could run and maintain it without me. Elegance that requires the builder is not elegance.

How I work.

Three principles that shape every technology decision I make.

01 Quantify Risk
01

Quantify risk in dollar terms before the Board hears about it.

A critical system had a recovery time measured in days. I quantified that risk in dollar terms before presenting the case to reduce it to hours. Every Board investment case I've prepared over four years has been approved on first presentation — because the analysis is done before the meeting, not during it.

$0 in Board-approved investments
02 Change First
02

Technology decisions are really change management decisions.

The Microsoft 365 transformation improved productivity by 25%. The software wasn't the hard part — the adoption was. I treat every technology deployment as a change programme first. The tool is the easy bit.

0 staff hours freed monthly via AI
03 Fund Growth
03

Savings fund transformation. They don't replace it.

$735K in cost savings over three years at the enterprise level funded AI and infrastructure investment without requiring net new budget. The savings created the mandate. I've never needed to choose between running lean and investing in growth.

$0 savings funding transformation

Every proposal. First presentation. Approved.

Four years. $2M+ in Board-approved technology investments. 100% first-presentation approval rate. This is what happens when technology decisions are grounded in commercial outcomes.

4 YEARS · $2M+ · 100%
42%

reduction in technology operating costs — while expanding capability

0 Years in Technology Leadership
0 Technology Cost Savings Delivered
0 Technology Professionals Led
0 Staff Hours Freed Monthly via AI

Selected Work

Things I've built & led

01

AI & AUTOMATION

AI Enablement
Program

PROBLEM › The organisation had 12+ AI experiments running simultaneously. None had clear ownership, governance, or measurable ROI.

Moved AI from ad hoc experimentation to a governed capability with Board-reported ROI and cross-functional accountability.

200+ staff hours freed monthly
02

ENTERPRISE PLATFORM

Cloud Platform
Migration

PROBLEM › The infrastructure hadn't been rebuilt in years. The Board hadn't been shown what that risk was worth in dollar terms.

Led complete cloud architecture, CI/CD pipelines, and zero-downtime migration of mission-critical systems.

65% security incidents reduced
03

INTELLIGENT AUTOMATION

AI Operations
Intelligence

PROBLEM › Answering basic operational questions about stock levels required a manual reporting cycle and a 24-hour wait. Staff were flying blind.

Natural language queries against live operational data. Real-time answers where a 24-hour manual reporting cycle existed.

Real-time instant answers
04

AI DOCUMENT PROCESSING

Clinical Document
Automation

PROBLEM › A healthcare team was spending 15 hours per week on manual document handling. Compliance risk was high, consistency was low.

50+ clinical documents processed daily. Manual handling eliminated.

90% improvement in consistency
05

E-COMMERCE PLATFORM

Unified Commerce
Architecture

PROBLEM › B2B and B2C operations ran on separate systems. Real-time product data synchronisation across AU/UK didn't exist.

B2B, B2C, and marketplace in a single platform serving 500K+ users.

18% conversion rate improvement
Enterprise CTO · AI Practitioner · Founder · PRINCE2 Practitioner · ITIL Foundation · Microsoft 365 · 18 Years · M.Sc. Microelectronics · Board-Level Advisory · Melbourne ·

ABOUT JAGMINDER

A technologist who builds. Not just advises.

01

Strategy First

I start with the problem, not the tool. Every architecture decision is traced back to a commercial outcome the business actually cares about.

02

Teams That Ship

Built engineering cultures from 12 to 80+ people. Retention, career ladders, honest feedback — that's what produces consistent delivery.

03

Enterprise Scale

Operating at the intersection of enterprise governance and startup execution. Advising boards while still writing the architecture.

04

AI Practitioner

200+ staff hours freed monthly. $735K in savings delivered. 60% faster response times. Outcomes, not projections.

Read My Story →
enterprise scale

ENTERPRISE CTO

Board-level. Accountable. At scale.

Full ownership of technology strategy, a $1.5–2M annual budget, and 15+ professionals across four domains. I report to the CEO, present to the Board, and own every commercial outcome.

  • $735K in cost savings while expanding capability
  • $2M+ in Board-approved investments — every proposal, first presentation
  • Infrastructure recovery time reduced from days to hours — risk quantified before it became an incident
startup velocity

FOUNDER

Hands-on. Delivered. From zero.

Built a consulting practice from nothing. Won clients across healthcare, professional services, and retail. Full P&L from day one. I don't advise on AI — I build and ship it.

  • 50+ clinical documents automated daily for a healthcare client
  • AI tools deployed generating 15% qualified lead increase
  • Profitability from the first engagement

Running both keeps me honest. The enterprise role demands governance rigour. The consulting practice demands delivery speed. Together they produce something neither could alone. I'm both.

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