Vienna
Reach out
I build teamsthat actuallywork.
Head of Product, Data & AI // SQUERFifteen years growing one IT organization from a helpdesk seat into a 100-person global function across 14 countries. Two startups built from zero alongside the day job. Now I run the commercial side of SQUER’s Product, Data & AI unit: shaping what we sell, and working with leadership teams to turn AI from ambition into a way of working. Different seats, same job: build something that still works once I stop pushing.
// backgroundOperator first.
Operator first.
Advisor second.
I’ve sat on the other side of the table: accountable for the operating model, the budget, the audit, and the people who had to make all of it work long after the strategy deck was closed. That’s the perspective I bring to advisory work, and the reason I don’t sell plans I couldn’t staff and run myself.Flex.Insight, the advisory practice I co-founded in 2025, ran on exactly that premise. Twelve months later I wound it down to lead SQUER’s Product, Data & AI unit full-time. Bigger canvas, same rule: stay close to the real problem, sell only what we can actually deliver, measure what changed.
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// when to call
The right call for.
HOW TO REACH ME
AI that has to reach production
A pilot works and the rollout stalls: no owner, no data classification, no path through security review. Bring the stalled programme, not the model choice. Most relevant in regulated settings — MedTech, healthcare, financial services, logistics.IT strategy that survives the budget cycle
Where the stack goes next, what it costs, and the investment case someone has to defend in front of a board: target architecture, sourcing, service management, security posture. Fifteen years of owning that plan rather than presenting it, audits and vendor negotiations included.Organization transformation
Scaling, restructuring, or re-splitting a technology organization: operating-model design, leadership layers, and who owns what when delivery is spread across countries and sites. The question is rarely the org chart — it is which decisions each level is allowed to make, and whether its managers can hold a standard without escalating it.AI governance and data protection in DACH
Whether a given AI tool tier may touch personal, confidential, or secrecy-protected data under EU GDPR (DE/AT) and the revised Swiss FADP, and what the operating model around that looks like. The published reference matrix at /tools/ai-data-protection is the free version of this answer.Commercial strategy for product, data & AI services
Turning genuine engineering expertise into offers that are concrete enough to scope and repeatable enough to sell: offer design, pricing, positioning, and the sales conversations themselves.Interim IT and digital leadership
A CIO, Head of IT, or digital leadership seat that is empty, newly created, or mid-transition — the budget, the audits, the vendor contracts, and the managers still need someone accountable this quarter. Fifteen years in that seat, most recently across 14 countries; also taken as interim Head of Engineering on a digital logistics platform handling millions of transactions across 10+ integrated systems.Writing, talks, and expert commentary
Enterprise AI adoption, the production gap between prototype and running system, and what agentic AI does to SaaS business models and IT operating models. Published essays live at /blog and are free to quote with attribution to the canonical URL.// principles
Learned the expensive way.
SEE ALL PRINCIPLES
// workBuilt it. Ran it.
Built it. Ran it.
Measured what changed.
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Building a Global IT Organization: MedTech
Product, Data & AI at SQUER: Commercial & GTM Leadership
AI Strategy & Implementation: Finance
// writing
Arguments worth having.
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August 15, 2026 · 4 min read
Leadership
Organization
The managers were the infrastructure
Fifteen years building one IT organization taught me the real deliverable was never a system. It was the managers who could run their functions without me - and the mis-hire that taught me how that gets built.July 24, 2026 · 7 min read
AI
Governance
Popular AI Tools: What About Data Protection?
Every AI governance conversation I have ends at the same question: can we use this tool with this data? I read the terms behind roughly 38 AI tool tiers across German, Austrian and Swiss data-protection law and built the reference I wanted to exist, including the part where the honest answer is neither yes nor no.July 22, 2026 · 5 min read
AI
Leadership
The rollout was the easy part
Agentic AI projects don’t fail on the technology. I’m inside one at scale right now - hundreds of engineers - and every hard part has been organizational: which teams were ready, who got left behind, and whether anyone explained why.// signal