Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

With over 21 years of experience in digital advertising and media operations, I bring a strong blend of strategic leadership and hands-on expertise across the digital ecosystem.
My journey began as an Ad Operations Analyst and has evolved into a Site Director, where I have managed large-scale advertiser portfolios, consistently delivering on KPIs, driving revenue growth, and leading high-performing teams. I have been responsible for ensuring quality, efficiency, and operational excellence across end-to-end campaign execution.
Over the years, I have worked across the full digital advertising value chain—from publishers to ad networks, ad exchanges, and agencies—while building deep expertise in programmatic ecosystems, including SSPs and DSPs. My experience also spans OOH and DOOH channels, along with tag management platforms, analytics frameworks, and data management platforms (DMPs), enabling me to operate effectively across both traditional and emerging digital environments.
This diverse exposure has helped me develop a well-rounded, practical understanding of the industry, enabling me to deliver measurable business impact, optimize performance, and adapt quickly in an ever-evolving digital landscape.

Q2. How is the structure of digital advertising media operations evolving as platforms, formats, and geographies become more fragmented?

Over the last few years, I’ve seen a big shift in how digital advertising operations are structured.
Earlier, things were pretty straightforward—teams were aligned to channels like display, video, or search. But now, with programmatic, CTV, DOOH, and so many platforms, that way of working doesn’t really fit anymore.
What I see now is a move towards a more integrated setup. Instead of teams working through channels, the focus is on capabilities such as programmatic, analytics, operations, and technology. This helps teams work more effectively across different formats without feeling disconnected.
Another big change is automation. Platforms now handle a lot of the manual work we used to do. This makes it easier to scale and manage campaigns more efficiently, especially when dealing with multiple platforms simultaneously.
At the same time, data has become very important. With so many touchpoints, it’s not just about running campaigns—it’s about bringing all the data together and understanding what’s actually working.
Geography is also adding another layer. Running campaigns across different regions means dealing with different market conditions, inventory, and rules. What works well is having a central strategy, with local teams who understand the market and can execute more effectively.
Overall, media operations today are not just about executing campaigns. It’s about managing complexity, working closely with different teams, and adapting quickly as things keep changing.

Q3. What new operational risks and opportunities are emerging as AI becomes embedded in media processes?

AI is definitely changing how media operations work, and I see both opportunities and risks.
On the opportunity side, AI is helping reduce a lot of manual effort. Things like campaign optimization, bidding, pacing, and even reporting are becoming faster and more efficient. It’s also helping teams handle larger volumes of campaigns across multiple platforms without needing to scale teams in lockstep.
Another big advantage is in decision-making. With AI looking at large amounts of data, we can identify patterns faster and make quicker adjustments. This is especially useful in programmatic, where speed and accuracy really matter.
But at the same time, there are some real risks.
One of the biggest challenges is losing visibility and control. As platforms and algorithms make more decisions, it becomes harder to understand what’s driving performance fully. If something goes wrong, it’s not always easy to identify the root cause.
There’s also a risk of over-reliance on automation. If teams stop questioning outputs and follow the system's suggestions, performance and decision quality can suffer.
Data quality is another important factor. AI is only as good as the data it gets. If the data is inaccurate or inconsistent, the outcomes can be misleading.
And finally, from an operations perspective, skill sets are also changing. Teams need to move from just execution to more analytical thinking—understanding how platforms work, interpreting results, and making smarter decisions.

Q4. How are client expectations evolving in terms of speed, flexibility, and strategic contribution from media operations teams?

From what I’ve seen, client expectations have changed significantly over time.
First is speed. Clients expect things to move very fast now. Campaign setup, changes, and reports are expected quickly, sometimes almost in real time. Waiting for days is no longer acceptable.
Second is flexibility. Campaigns are not fixed like before. Clients want to change things on the go, budget, creatives, targeting—based on how it’s performing. So teams need to be ready to adapt quickly.
The biggest change is in the team's expectations. Earlier, media operations were mainly about executing campaigns. Now, clients expect more input. They want to know what’s working, what’s not, and what we should change to improve results.
They also expect us to understand the bigger picture—how different platforms are working together and how to get better overall outcomes. Overall, it’s shifted from just execution to a more support-and-thinking role.

Q5. Which emerging trends in digital advertising operations are likely to reshape the industry over the next few years?

From what I see, a few key trends will shape how media operations work in the coming years. 
First is automation and AI. A lot of manual work is already being reduced, and this will only increase. Campaign setup, optimization, and even reporting are becoming more platform-driven, which will change how teams operate.
Second, the growth of new channels such as CTV, DOOH, and retail media. These are becoming a big part of media plans, so operations teams need to understand and manage more formats than before.
Another big trend is data. With privacy changes and a reduced reliance on third-party cookies, managing first-party data and making sense of it is becoming increasingly important.
Also, everything is becoming more fragmented. More platforms, more formats, more tools. So the ability to manage all this together in a simple way will be key.
Finally, the role of operations itself is changing. It’s not just about executing campaigns anymore. Teams are expected to give insights, improve performance, and support strategy.
Overall, it’s moving towards greater automation, a stronger data focus, and a broader role for operations teams.

Q6. How is the competitive landscape in media operations evolving as consulting firms, IT services players, and specialized ad-tech firms converge?

What I’m seeing now is that the gap between players is slowly closing.
Earlier, roles were very clear. Consulting firms handled strategy, IT companies handled execution, and ad-tech firms provided platforms. Now everyone is moving into each other’s space.
Consulting firms are getting into operations and execution. IT players are building strong programmatic and analytics capabilities. Ad-tech companies are not just platforms anymore; they’re also offering services.
Because of this, competition has increased a lot. Clients now expect one partner to handle everything, not different vendors for different pieces.
Also, just doing execution is not enough anymore. You need to understand platforms and data, and how to drive results for the business.
So it’s becoming less about who you are and more about what you can deliver end-to-end.
And honestly, the players who can adapt quickly and bring everything together will be the ones who stay ahead.

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

If I were an investor, the main question I would ask is:
“How are you planning to scale while staying relevant as the ecosystem keeps changing?”
Because right now, the industry is moving very fast—new platforms, more automation, changing data rules, and increasing competition.
I would want to understand:
How they are adapting to automation and AI, how strong their data capabilities are, whether they are just executing or actually adding value, and how they are planning to stay competitive when everyone is offering similar services
One more important thing I would look at is the people on the ad-tech side. Do they really understand the complete ecosystem—from publishers to DSPs, SSPs, data, and measurement? Because without that end-to-end understanding, it’s very difficult to scale or deliver consistent results.
At the end of the day, growth is important, but sustainable growth is what matters.
So for me, it really comes down to whether the company can adapt, scale, and still stay valuable to clients in the long run.