About
I enjoy turning complexity into clarity—connecting technical capabilities with real customer needs, building compelling narratives, and helping cross-functional teams tell a consistent story. Whether developing positioning for a new product, enabling sales, or exploring the evolving role of AI in the enterprise, I'm motivated by solving complex problems through thoughtful communication and strategic thinking.
For more than a decade, I've worked at the intersection of product, marketing, and sales—developing positioning, messaging, and go-to-market strategies that help enterprise customers understand not just what a product does, but why it matters.
My experience spans SaaS, AI-powered solutions, cloud platforms, and enterprise software, where I've partnered closely with Product, Sales, Brand, and Demand teams to launch products, support revenue growth, and create customer-centric messaging and enablement.
Based in Markham, Ontario, Canada
Experince: 15+ years in B2B Product Marketing
Current focus: Enterprise AI, Emerging Technologies, and Product Marketing
Beyond work: Horses, hiking, classical music, and travel
Insights
Shaped by industry experience and curiosity, these articles explore AI in the enterprise—from adoption and governance to emerging opportunities and future challenges. The views expressed are my own.
An exploration of why successful AI adoption should start with business challenges, not technology. The post discusses how AI empowers domain experts to innovate while reinforcing the critical role of IT in providing governance, security, and scalable enterprise implementation.
(June 2026)
This post explores AI governance through the lens of risk management, comparing human and AI decision-making. It argues that successful enterprise AI depends on complementary human and artificial intelligence, supported by governance, transparency, and appropriate guardrails. (June 2026)
This thought leadership piece examines AI governance through the concept of guardrails, comparing the risks associated with human and AI decision-making. It argues that successful enterprise governance requires tailored controls for both, recognizing their different capabilities, limitations, and roles in organizational decision-making.
(June 2026)
Challenges organizations to shift the conversation from implementing AI to improving business outcomes, using practical examples to demonstrate that AI creates value through measurable results—not technology alone.
(July 2026)
Why do some groundbreaking technologies succeed while others disappear? This article explores three factors that determine commercial success—technology, market readiness, and customer understanding—using real-world examples from the contact center industry and drawing parallels to today's rapidly evolving AI landscape.
(July 2026)
Companies often ask "How can AI make us faster/cheaper?" but customers ask "Can AI help me solve problems better?" Product leaders should start with "Which customer outcome do we want to improve?" instead of
"Where can we use AI?"
(July 2026)
Explores whether customers need to
know when they're interacting with AI, examining transparency, trust, regulation, customer expectations, and why
the right answer may depend more on context than on the technology.
(July 2026)
AI is like a Swiss Army knife: versatile, accessible, and useful for many tasks. But its real power is knowing when to use it, when not to, and when
human judgment must lead.
(August 2026)
AI often creates more value when organizations rethink and improve processes, not just retrofit AI into existing workflows; success requires clear measures, change management, and iterative learning.
(August 2026)
Get in Touch
Whether you're looking for an experienced Product Marketing Manager, would like to discuss a potential opportunity, or simply want to connect, I'd be pleased to hear from you.
I welcome conversations about Product Marketing, AI, enterprise software, customer experience, and go-to-market strategy.