Skip to main content

One CMO’s journey with risk management and compliance

Marketers don’t grow up daydreaming about risk management and compliance. Personally, I never gave governance, risk or compliance (GRC) a second thought outside of making sure my team completed required compliance or phishing training from time to time.

So, when I was tasked with leading the General Data Protection Regulation (GDPR) compliance initiative at a previous employer, I was far from my comfort zone.

What I thought were going to be a few, small requirements regarding how and when we sent emails to contacts based in Europe quickly turned into a complete overhaul of how the organization collected, processed and protected personally identifiable information (PII).

It is a risk leader’s job to facilitate conversations around risk and help guide business unit leaders to finding their own risk appetites.

As it turned out, I had completely underestimated the scope and importance of the project. My first mistake? Assuming compliance was “someone else’s issue.”

Risk management is a team sport

No single risk leader can alone assess, manage and resolve an organization’s risk cap. Without active involvement from business unit leaders across the company in marketing, human resources, sales and more, a company can never have a healthy risk-aware culture.

Leaders successful at developing that culture instill a company-wide team mentality with well-defined objectives, a clear scope and an agreed-upon allocation of responsibility. Ultimately, you need buy-in similar to the way a football coach needs players to buy into the team’s culture and plays for peak performance. While the company’s risk managers may be the quarterbacks when it comes to GRC, the team won’t win without key plays by linemen (sales), running backs (marketing) and receivers (procurement).

It is a risk leader’s job to facilitate conversations around risk and help guide business unit leaders to finding their own risk appetites. It’s not their job to define acceptable levels of risk for us, which is why CMOs, HR and sales leaders have no choice but to take an active role in defining risk for their departments.

Shifting my view on risk management

If I am being honest, I only used to think about risk management in terms of asset protection and cost reduction. My crash course in risk responsibility opened my eyes to the many ways GRC can actually speed deals and furthermore, drive revenue.



from TechCrunch https://ift.tt/37WnKPQ
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT