Carlos Eduardo Medeiros
Digital advertising has never been more efficient. Campaigns adjust themselves, budgets shift in real time, and creative can now be generated at scale with minimal human input. From the outside, it looks like a system that has finally learned how to run on its own. But inside the industry, the reality is less settled.
As automation takes over execution, the harder questions haven’t disappeared—they’ve just moved. What actually drives growth? Where should investment go? And how do you make decisions when systems optimize faster than most teams can interpret? That shift is quietly redefining the role of the people behind the platforms.
Professionals like Roberta Denuzzo have spent the past decade operating across different layers of that ecosystem—from strategy consulting at Deloitte, to enterprise media at Grupo Globo, to performance marketing within Google’s advertising infrastructure. What her trajectory reflects is less about career progression and more about how the job itself is changing.
There was a time when performance marketing was largely about execution—managing campaigns, improving metrics, refining targeting. Today, much of that work is handled by the platforms themselves. The differentiator is no longer who can optimize fastest, but who can make sense of what’s being optimized. In practice, that means stepping back.
Before joining Google, Denuzzo worked at Deloitte, advising multinational clients in highly regulated industries, particularly in healthcare. Her work involved designing marketing and engagement strategies that had to operate within strict legal and compliance frameworks—where performance could not be separated from regulation, risk, or long-term business impact. That environment required a different kind of thinking: aligning commercial goals with operational and regulatory constraints, while still delivering measurable results. It’s a mindset that translates directly into today’s platform-driven advertising landscape.
At Grupo Globo, one of the largest media organizations in Latin America, Denuzzo moved closer to the commercial front line. There, she managed enterprise-level relationships with global advertisers such as Johnson & Johnson, Procter & Gamble, and Sanofi, leading large-scale, multi-platform campaigns that integrated television, branded content, and digital channels. But her role went beyond execution. She helped develop new advertising formats and commercial models within Globo’s ecosystem, contributing to over $2 million in new revenue streams and playing a key role in shaping how multinational brands approached media investment at scale.
That experience sits in contrast to how digital advertising is often discussed today. The conversation tends to center on tools—automation, AI, performance metrics—while overlooking the structural decisions behind them: how budgets are allocated, how channels interact, and how success is defined across markets.
Inside Google, those questions become even more pronounced. As a former senior account manager working on high-value portfolios, Denuzzo managed advertising investments representing up to $20 million in quarterly revenue, consistently driving around 20% year-over-year growth while exceeding performance targets across multiple quarters.
Her work extended beyond campaign performance. She played a central role in helping clients adopt AI-driven advertising frameworks, translating emerging technologies into practical, revenue-generating strategies. During high-stakes commercial periods—such as Black Friday campaigns—her strategic guidance directly influenced revenue outcomes, including record-breaking performance for clients.
Internally, she was selected as an “AI Activator,” a role focused on accelerating the adoption of artificial intelligence within Google’s advertising teams. In that capacity, she led workshops, advised peers, and contributed to the broader commercialization of AI-powered tools—positioning herself not just as a user of technology, but as someone shaping how it is applied.
Across these roles, a consistent pattern emerges. The work is not centered on platforms themselves, but on the decisions that sit above them. “Automation is only as good as the inputs you give it,” Denuzzo has noted in discussions with colleagues. “If the strategy is off, the system will just get you to the wrong place faster.”
It’s a simple idea, but one that’s easy to overlook in an environment built around speed.
As platforms continue to evolve, the execution layer will only become more automated. What remains—and what becomes more valuable—is the ability to define direction: to interpret data, navigate complexity, and make decisions that systems alone cannot make. The future of advertising, it turns out, is not in the interface. It’s behind it.