"AI Shouldn’t Put Marketing on Autopilot," Says EPAM CMO Phil Walsh

"AI Shouldn’t Put Marketing on Autopilot," Says EPAM CMO Phil Walsh

As EPAM sharpens its AI-native positioning, its CMO & SVP, Phil Walsh, outlines a marketing model built around AI Client Zero, measurable outcomes, stronger sales-marketing integration and human judgment

You have taken on the CMO role at a time when EPAM is positioning itself around AI-native transformation. What are your immediate priorities, and what challenges do you aim to overcome?

The priority is clarity. Every company is talking about AI right now, but using AI and becoming AI-native are two very different things. Our job is to make that distinction useful for clients rather than making it a mere piece of positioning. As a marketing function, we only earn real authority when our own operations are built natively around AI, proving the value in our own workflows before we put out the brand positioning.

For me, establishing authority means bringing the brand, demand engine and client experience closer to what our sales and delivery teams see in the field. EPAM has a strong engineering heritage. The marketing opportunity is to connect that strength to the business problems of clients by advocating for AI-native processes, modernising the technology and data underneath them and producing results responsibly.

The challenge is the amount of noise in the market. There are a lot of polished demonstrations and very few scale outcomes. We must remain disciplined about showcasing verified impact proofs; that rigour is what cuts through the clutter and sets your vision apart.

What do you have to say about building data-driven marketing engines that bring sales, delivery and marketing closer together? How does that change the role of the CMO and the way marketing success is measured?

The CMO cannot operate as the owner of a campaign calendar. The role is increasingly to help architect a growth system. Marketing has signals from the market, sales understand the buying conversation, and delivery knows where value is being created. If those three views are disconnected, the company learns too slowly.

A connected engine gives us a better view of the client journey: what an audience is engaging with, when an account is moving from interest to a real business discussion, and what delivery insight can strengthen the next conversation. It also means marketing must be accountable beyond lead volume. I look at a combination of brand strength, quality of engagement, pipeline progression, velocity and commercial impact. Not every touchpoint should receive a revenue claim, but every investment should have a clear job. Data helps us see what is working and change course quickly. It does not replace judgement; it makes the judgement better informed.

How is AI changing the way your own marketing organization operates, not just what EPAM sells to clients?

We should ideally treat marketing as a client-zero environment. If we ask clients to rethink how work gets done, we should be willing to do the same inside our own function. As an AI Client Zero, we've applied AI across our own marketing function before taking it to clients. From using synthetic audiences to test messaging and understanding customer perspectives to AI-assisted content creation and data-driven analytics, we're leveraging AI to improve marketing effectiveness and generate deeper business insights. The objective is to learn faster and give marketers more time for client understanding, strategy and creative problem-solving. AI also plays a key role in campaign execution and optimization, helping us enhance campaign set-ups, nurture streams and social amplification efforts. In parallel, we use AI to strengthen storytelling through customer success stories, award submissions and AI-focused industry narratives. We are exploring emerging AI marketing models, including conversational experiences, agentic engagement and audience simulation experiments to rethink customer engagement and marketing operations.

There also must be a clear line around human judgement. AI should not decide the brand's point of view or make unreviewed claims. We are building AI literacy alongside governance, testing and performance measurement. So, marketing with AI is not being on autopilot; it is a better-informed marketing organization.

Read the full interview to learn more about Walsh's approach to data-driven growth engines, global brand consistency and the role of employee advocacy in B2B technology marketing.

Learn how EPAM is helping marketing become the next engine of growth. epam.com/next-gen-marketing