Industrial software | PM/UX | portfolio strategy
I lead complex industrial software portfolios as a Product Line Manager and PM/UX leader, with 15+ years across automation engineering, software development, product management, software strategy, and portfolio leadership.
Positioning
I help organizations turn technically complex software offerings into clear product direction, credible customer value, decision-ready requirements, usable product experiences, and commercial narratives.
I lead complex industrial software portfolios as a Product Line Manager and PM/UX leader, with 15+ years across automation engineering, software development, product management, software strategy, and portfolio leadership.
Selected projects
The public case studies focus on problem framing, my role, approach, qualitative impact, and methods while using approved product names only where appropriate and keeping customer, roadmap, financial, and internal details private.
Defined a software-specific lifecycle model to clarify support posture, migration messaging, lifecycle-extension possibilities, and portfolio decisions.
Created clearer lifecycle language and phase-one scope for cross-functional portfolio, sales, and service alignment.
Read case studyConnected product strategy, PM execution, UX research, sales needs, and adoption metrics to strengthen platform adoption and migration clarity.
Improved strategic framing around migration, adoption, value communication, KPIs, and customer journey guidance.
Read case studyHelped shape B&R's launched Automation Studio Code product from a classical OT engineering environment toward a modern, software-centric automation engineering tool grounded in automation-engineer realities.
Reframed modernization around developer experience and engineering efficiency while respecting automation engineers' real constraints.
Read case studyDomain credibility
My background spans machine-level automation work, industrial software development, product management, platform strategy, and product-line leadership.
Connects engineering, commissioning, runtime/connectivity, operations, service, and lifecycle contexts into coherent product-line direction.
Grounds product decisions in controls engineering, commissioning realities, machine-builder workflows, and long lifecycle constraints.
Frames pricing, packaging, licensing, migration, support posture, lifecycle communication, and portfolio transparency as connected product work.
AI-native ways of working
I use AI-supported workflows for drafting, summarization, synthesis, comparison, and knowledge maintenance while keeping humans accountable for product direction.
Structures source context, templates, decision records, and maintenance patterns so PM/UX work stays traceable.
Uses AI for summarization, comparison, research synthesis, artifact maintenance, and first-pass product writing.
Keeps people accountable for direction, validation, confidentiality, trust, trade-offs, and external commitments.
Turns repeatable PM/UX work into roles, cadences, standards, files, and practices that teams can reuse.
Next conversation
Useful conversations usually sit at the intersection of product-line strategy, PM/UX operating models, platform adoption, lifecycle clarity, commercial product management, and AI-supported product work.