Practical GenAI for real workflows
Digital transformation and strategy
Experience design and event tech
I turn company goals into clear plans that engineers can build and store teams can use.
I've built and led all sorts of teams (ops, content, trainers). I'm good at getting everyone, from executives to the frontline, aimed at the same target.
I run projects that connect ops, digital, marketing, and IT to make sure our plans actually happen.
I spend an hour every day learning something new. I'm not an engineer, but I know how systems work and can speak the language.
I focus on AI that solves real problems—saving time, cutting costs, or improving quality. No demos, just results.
Keep the systems running. Uptime is everything.
Automate repetitive tasks to save time and money.
Use tools like CRM to run campaigns that work.
Create one source of data so everyone works from the same numbers.
I've built my career on translating business needs into technology execution—partnering with specialists while staying close to delivery. My strength is leadership, communication, and making complex tech practical.
I've already worked cross-functionally with IT at scale, driving stability and platform improvements, and I'm ready to lead by combining commercial and technical priorities.
I know trust isn't automatic. I build it through transparency, consistent follow-through, and making wins visible across teams. I focus on shared goals, clear communication, and empowering experts to lead where they shine.
I'm a fast learner with a disciplined daily habit of upskilling on tech. I know how systems work at the core level and can bridge tech and business fluently.
Current gaps and improvement strategies
Systems aren't stable or modern enough to support future growth
Prioritize reliability, MTTR discipline, phased modernization
No single source of truth
Build real-time integrated data pipeline
Tech is treated as cost center
Turn IT into an enabler with P&L ownership mindset
Slow delivery cycles
Introduce clear cadence, smaller and safer release windows, and governance
No clear roadmap for AI use cases
Build structured AI experimentation, prioritize practical pilots, and tie results directly to business impact
Internal clients, global and local IT teams need to be on the same page of way of working
Build shared ways of working, regular alignment cadences, and transparent communication loops
My plan for the first year is simple: stabilize, align, and enable.
That means getting our core systems running smoothly, cutting costs where it makes sense, and establishing a predictable rhythm for the team. We'll build trust through quick, visible wins.
I'll work with global and local teams to figure out our shared playbook. We'll create a clear roadmap so business and IT priorities are the same, and everyone knows what we're doing and why.
Core Priority: Align on way of working with global teams — Clearly define what's global compliance and rules, and where local flexibility can apply. This ensures alignment, clarity, and smoother execution across functions.
With a stable foundation, we can start driving real business impact. We'll build a central data source for better decisions, automate manual work, and run one or two practical AI pilots that deliver measurable value.
I'm not here to just run an IT department.
I'm here to build an engine that drives the business forward.































