Is it ever too late to reinvent your career?

In this episode of Tech Paired, Michael Phair is joined by Gerry Thomas, an experienced IT leader whose career journey proves that where you start does not have to define where you end up.

After spending 15 years in retail management, Gerry made the decision to return to education, retrain in technology, and build a career that would eventually see him leading enterprise-scale IT teams, managing major technology services, and supporting more than 20,000 users globally.

This is a conversation about career reinvention, resilience, leadership, enterprise technology, Microsoft governance, AI adoption, and the value of transferable skills.

Gerry shares how his early career in retail gave him the foundations that would later become critical in technology leadership: customer service, operational discipline, people management, commercial awareness, and the ability to work under pressure.

He explains why those 15 years were not wasted, but became the foundation for his success in IT.

We talk about the decision to go back to education later in life, what it felt like to sit in a classroom as a mature student, and how Gerry balanced family life, finances, self-doubt, and the challenge of starting again.

A major theme of the episode is mindset. Gerry explains why age became an advantage rather than a barrier, how maturity helped him approach learning differently, and why his first helpdesk role became more than just a starting point it became an opportunity to understand business systems, users, and the wider role of IT inside an organisation.

We also explore Gerry’s progression from first-line support into leadership, including the importance of taking ownership, volunteering for difficult work, asking for opportunities, and solving bigger business problems rather than just bigger technical problems.

From there, the conversation moves into the reality of enterprise-scale IT. Gerry shares what it is really like to support technology services for tens of thousands of users, why assumptions can be dangerous during incidents, and why facts, governance, communication, and impact awareness are critical at scale.

We also dig into Microsoft licensing, Copilot, AI governance, and automation. Gerry explains where organisations commonly waste money, why SharePoint storage and consumption-based charging can quickly get out of control, and why AI without proper governance can become expensive risk.

He shares a practical view of Copilot adoption, including the importance of data governance, permissions hygiene, sensitivity labels, user education, adoption metrics, and clear controls before scaling AI across an organisation.

Finally, Gerry gives honest advice to anyone wondering whether it is too late to change career. His message is clear: do not wait for someone to hand you the opportunity. Take ownership, keep learning, manage your risk, and use the experience you already have as an advantage.

This is a practical, honest, and inspiring conversation for anyone thinking about changing career, moving into technology, leading IT teams, scaling enterprise systems, or understanding how AI and governance are reshaping modern organisations.

In this episode, we cover:

• Reinventing your career later in life
• Moving from retail into technology
• Why transferable skills matter
• Going back to education as a mature student
• Starting again in a first-line helpdesk role
• Building confidence in a new industry
• Career progression through ownership and persistence
• Moving from technician to IT leader
• Managing technology services for 20,000+ users
• Enterprise IT pressure, incidents, and impact
• Why facts matter more than assumptions
• Microsoft licensing waste and optimisation
• SharePoint storage and consumption-based charging
• Copilot rollout reality versus hype
• AI governance, data controls, and permissions hygiene
• Why “AI without governance is expensive risk”
• Automating joiners, movers, and leavers
• Advice for anyone wondering if it is too late to change career

Tech Paired is the podcast from Tech Pair, exploring the people, careers, teams, and technology shaping the future of work.

What does AI-first engineering actually look like inside a real software organisation?

In this episode of Tech Paired, Michael Phair is joined by Allan Mayberry, Senior Director of Engineering at Planet DDS, to explore how AI is reshaping software development, engineering leadership, team design, hiring, security, and the future of technical careers.

Allan leads a 100+ person engineering organisation and is actively driving AI-first development practices across teams working with tools like Claude and Copilot. But this conversation goes far beyond hype. Allan shares a grounded, practical view of what is really changing, what still needs human judgement, and why AI should be treated more like a co-pilot than an autopilot.

We discuss how engineers are moving from writing every line of code to orchestrating systems, how AI is changing the role of senior engineers, and why the basics of software engineering still matter more than ever. Allan also explains why teams that tried AI six or twelve months ago may need to revisit it, because the tooling has evolved so quickly that old assumptions are already outdated.

A major theme of the episode is team design. Allan breaks down Planet DDS’s move towards smaller pod-based teams, designed to reduce context switching, improve focus, get engineers closer to customers, and create more autonomy. He shares why traditional agile structures can struggle when code is no longer the main bottleneck, and why product, engineering, QA and design need to work more closely around shared outcomes.

We also dig into governance, security, and risk. Allan talks openly about the dangers of blindly trusting AI-generated code, the importance of proper peer review, automated testing, change logs, compliance processes, and maintaining clear accountability. From prompt injection and AI-assisted cyber threats to deepfake candidates and vendor outages, this episode explores the new security landscape engineering leaders now have to navigate.

For junior engineers and graduates, Allan gives honest advice on what to focus on in an AI-first world: learn the fundamentals, understand why good engineering practices matter, find mentors, and use AI to accelerate learning rather than replace it. For leaders, his message is clear: carve out time to experiment, get hands-on with the tools, understand where they help, and build guardrails before gaps become risks.

This is a practical, honest and wide-ranging conversation for engineering leaders, software teams, founders, recruiters, product leaders, and anyone trying to understand what the future of software development really looks like.

In this episode, we cover:

• AI-first engineering in real teams
• Claude, Copilot and agent-based development
• Why AI is not a replacement for engineering judgement
• Engineers as orchestrators, not just coders
• Guardrails, testing and pull request reviews
• The future of junior software engineering roles
• Pod-based teams and reducing context switching
• Governance, compliance and AI risk
• Prompt injection, security threats and vendor risk
• Deepfake candidates and AI in hiring
• What leaders should do now to avoid falling behind
• Why the fundamentals still matter

Tech Paired is the podcast from Tech Pair, exploring the people, teams and technology shaping the future of work.

In this episode of Tech Paired, Michael and Stuart sit down with Cameron Lepper, Director of Platform Engineering at Tribal Group to explore what it really takes to build platforms, teams, and meaningful careers in modern tech.

Cameron leads Platform Engineering, SRE, DBA, and FinOps across a global cloud product suite, with teams spanning the UK, Philippines, Australia, and beyond. But this conversation goes far beyond infrastructure. From his unconventional route into tech through music and computing, to his leadership in Scotland’s digital skills agenda, Cameron shares a thoughtful perspective on how great technology is built through people, clarity, and purpose.

Together, they unpack what platform engineering actually means, why it should remove friction rather than create it, and how engineering leaders can balance speed, reliability, cost, and carbon responsibility. They also dive into remote-first leadership, onboarding at scale, hiring for mindset and communication, and the growing importance of visibility and shared accountability in modern engineering teams.

The conversation closes with a wider look at the future of tech from AI in platform teams to digital inclusion, access to skills, and why representation still matters in 2026.

This is an episode about more than systems and scale. It’s about creating better pathways into tech, building resilient teams across borders, and remembering that behind every platform, process, and product, it’s people who make the difference.

Topics covered:

• Platform engineering as an enabler, not a blocker
• FinOps, cloud optimisation, and responsible engineering
• Leading distributed teams across global regions
• Hiring for technical strength and human skills
• AI’s real role in engineering teams today
• Digital skills, inclusion, and the future of tech careers

What does it really take to scale IT globally without creating chaos?

In this episode of Tech Paired, we sit down with Donald McNeil an experienced IT executive whose leadership career spans organisations including Dexcom, Thermo Fisher Scientific, Life Technologies, and Fisher Scientific. Across that journey, Donald has led complex IT organisations supporting multi-site manufacturing, distribution, and healthcare operations across Europe, Asia, and North America, managing operating budgets of more than $20 million, overseeing large ERP programmes, major integrations, global service models, and 24/7 incident operations.

Donald shares the biggest shift he has seen in IT leadership over the past two decades, and why AI feels like the most disruptive force yet not just because of the hype, but because of the scale of uncertainty and potential change it brings. We explore how experienced leaders should think about AI in practical terms, from personal productivity and assistants through to business-wide applications, agents, and transformation at scale.

A major theme throughout the episode is operating model design. Donald explains that once IT leadership expands beyond a single country, success is no longer just about technology. It becomes about language, communication, accountability, local realities, and building frameworks that can scale across cultures and time zones. He talks candidly about the misconceptions people have around global IT leadership, including the false assumption that one global model can simply be copied and pasted everywhere.

We also explore one of the most valuable tensions in enterprise IT: global standards versus local business needs. Donald explains why standardisation is critical in areas such as ERP, security, and core business processes, but also why rigid global mandates often fail if they ignore local legislation, tax rules, reimbursement models, or how business is actually done in-market. His perspective is clear: the strongest operating models have a consistent core, but enough flexibility at the edges to work in the real world.

Beyond incidents, this episode also gets into transformation delivery specifically how to deliver major ERP and business change programmes without disrupting the organisation. Donald makes a strong case for business-led transformation, where IT is a core partner rather than a separate function “doing change to the business.” He shares how governance, PMO discipline, steering groups, and proper scope conversations protect delivery rather than slow it down, and why strong leaders know how to say “no” by helping the business choose the right trade-offs.

We also discuss vendor dependency, capability building, and scaling internal teams. Donald outlines where external partners add real value, where they create risk, and how mature IT leaders grow in-house capability around architecture, business analysis, and decision-making while using vendors more strategically for scale and standard services.

The conversation closes on a bigger leadership question: what makes an IT leader truly trusted at enterprise scale? For Donald, it comes down to credibility, consistency, listening well, understanding how the business works, and building systems that scale without depending on individual heroics.

This is an episode for CIOs, IT directors, transformation leaders, operations leaders, and founders who want a clearer view of how world-class IT leadership works behind the scenes especially in complex, international, highly regulated environments.

Connect with Donald McNeil on LinkedIn to continue the conversation.

And if this episode helped you rethink what strong IT leadership looks like, share it with someone in your network who needs to hear it.

Patty O’Callaghan, Technical Director, Head of AI for the Architecture & Engineering Group at Charles River Laboratories and a Google Developer Expert in AI & Cloud joins us on Tech Paired to unpack what software development looks like in an AI-first world.

This is a real-world conversation about how engineering teams are changing right now: AI writing code, developers evolving into architects, and why governance, guardrails, and AI literacy will define the companies that win in 2026.

Patty shares a mind-blowing example:

A project estimated at 3 developers for 3 months… delivered in 1 week using AI-assisted workflows.

But this isn’t hype. It’s a blueprint for what’s coming.

In this episode, we explore:

• Why developers must adapt now
• How AI is transforming the SDLC (planning → coding → testing → deployment)
• Why testing and validation are more critical than ever
• The risk of “shadow AI” inside organisations
• What good AI governance looks like at enterprise scale
• Why regulated industries are struggling to keep pace
• The shift from SEO to AI discovery and changing web traffic patterns
• How engineering roles are shifting from “coder” to “architect”
• Why Patty believes 2026 could be a “tsunami year” for unprepared teams

If you’re building software, leading engineering teams, hiring developers, or shaping AI strategy this is essential listening.

🎙️ Hosted by Michael Phair and Stuart Alexander, co-founders of Tech Pair a Tech & Change recruitment firm built on real relationships and hands-on expertise.

Tech Pair connects high-performing tech talent with scaling businesses through permanent, contract, RPO, and managed service models. Founder-led. No juniors. Just people who care about people.

Fraser Ferguson - Founder & CEO of KubeNet, serial entrepreneur, and former FTSE 250 board member joins Michael Phair and Stuart Alexander for a wide-ranging conversation on what it really takes to build technology businesses that survive multiple eras of change.

Fraser’s career spans nearly three decades of UK tech evolution: from early internet and the dotcom boom, through telecoms and recruitment, to today’s modern managed services, cloud, cyber, and digital infrastructure landscape. Few leaders have built, scaled, exited, failed, and reinvented themselves as many times and with as much honesty as Fraser.

In this episode, we go beyond surface-level leadership talk and into the realities founders and tech leaders face: timing versus hype, why hard work still matters more than narrative, and why “not getting carried away” might be the most important rule in business.

Fraser shares the story of founding one of Scotland’s earliest internet companies and seeing first-hand how infrastructure constraints, storage costs, and premature markets shaped the dotcom era lessons he draws direct parallels to today’s AI boom. We explore how he scaled a recruitment business to 110 people, why sales engines matter, and how relationships compound over decades. He also opens up about exiting that business for £4.9m, why every founder needs an exit lens (even early), and what happens when acquirers force culture change too fast.

We dig into failure too including a six-figure loss that taught Fraser a brutal lesson about focus, capital discipline, and why you can “run low on money, but you can’t run out of it.”

The conversation then turns to KubeNet and the evolution of a true modern MSP. Fraser explains how the business grew from WLR and ethernet foundations into a fully-fledged MSP and ISP delivering cloud, connectivity, voice, cyber, IoT, and digital transformation services nationwide. He breaks down what real managed service looks like, why many providers are just transactional IT, and how COVID accelerated a structural shift in the MSP market.

For CIOs, CTOs, and tech leaders, Fraser offers clear views on digital transformation: why it must be driven top-down, who should own it, and why fear not technology is the biggest blocker. We explore vendor pressure, subscription economics, accreditation costs, and the hidden financial realities MSPs face as Microsoft, Cisco, VMware, and others rewrite the rules.

AI and automation are a major theme too — not as hype, but as tools to augment engineers, reduce noise, and free teams to work on higher-value problems. Fraser explains why the future of MSP talent is multi-skilled, why rigid role definitions are dying, and how leaders must adapt to a workforce that values flexibility, purpose, and growth differently than previous generations.

Cybersecurity, compliance, and resilience round out the conversation, with Fraser making a strong case that MSPs not traditional cyber consultancies are best positioned to dominate the cyber market over the next 3–5 years. Not because they’re smarter technically, but because they already sit at the intersection of trust, sales, and long-term customer relationships.

We close with Fraser’s advice for anyone building or leading through change in tech today: work hard, don’t quit, don’t be rigid and don’t be afraid to change course when the ground shifts under your feet.

🎙️ Hosted by Michael Phair and Stuart Alexander, co-founders of Tech Pair, a tech & change recruitment firm built on real relationships and hands-on expertise.

Tech Pair is a founder-led video-first technology & change recruitment company partnering with companies across the UK on permanent, contract, RPO, and managed service models.

Andy Doyle, Chief Product & AI Leader, joins Michael Phair and Stuart Alexander to explore how the best tech leaders turn chaos into clarity. Andy shares lessons from scaling SaaS, IoT, and AI ventures, and why structure, empathy, and listening are the hidden forces behind high-performing teams.

We dig into why so many growing companies mistake their product teams for “feature factories,” how AI is misunderstood as a quick ROI machine, and why technology can never be truly neutral. Andy explains how great leaders build feedback loops that connect people, purpose, and progress, and why the best teams learn faster than they deliver.

- Section 1 | Leadership & Product Thinking 0-15min

- Section 2 | AI & Data Strategy | 15-38min

- Section 3 | Purpose, People & Learning | 38-49min

- Section 4 | Closing & Takeaways | 49min – 53min