The useful thing about a control panel is that every wire has somewhere to go. Trace it carefully and the system begins to explain itself. Shonodeep Modak has spent a career doing a similar job with industrial companies: following technical complexity back to a human decision, then giving that decision a language a customer can use.
His route to marketing began in the physical world. Modak grew up in Mississippi and studied chemical engineering at Mississippi State University. During an internship in his final year, he toured power-generation sites, crawled around boilers and visited nuclear plants while helping to sell service solutions. The machinery mattered. What caught him, though, was the act of explaining why a solution made technical and economic sense.
He has joked that marketing looked safer than potentially blowing up a plant with his engineering skills. The joke carries a serious admission: he preferred the value conversation. Engineering had taught him to understand the mechanism. Commercial work let him connect that mechanism to somebody else's problem.
A career built across four translations
The motor-oil aisle was a laboratory
At ExxonMobil, where he worked from 2000 to 2008, Modak entered a business that sold motor oils, gear oils and greases but increasingly needed the reflexes of a consumer-goods company. The work led him into shopper behavior: what a driver notices at Walmart, how a customer chooses at a quick-lube shop, what vehicle demographics reveal, and how internal and external data can be combined into a useful view of demand.
He helped bring a fuel-economy-improving motor-oil brand to market. The achievement matters, but the durable lesson sits underneath it. A technically valid benefit does not sell itself. Someone must understand how shoppers buy, how they compare, and what they believe they are solving for. Modak later summarized the principle with characteristic economy: “You really have to understand how shoppers buy.”
That education in consumer choice followed him into industrial markets, where purchasing committees are larger and the equipment can run for decades. It is easy for a manufacturer to organize its language around the things it makes. Buyers organize their attention around the work they need done.
“Great marketing organizations spend a lot more time listening.”Shonodeep Modak
Finding a larger purpose inside the machine
Modak joined GE in 2008 and spent the next decade across gas engines, distributed-power services and Industrial Solutions. This was business-to-business power generation, yet the translation problem remained familiar. A gas engine was a piece of machinery. It could also become part of a story about turning waste from cows, hogs or chickens into renewable energy. Technical capability became meaningful when placed inside a problem a community or operator already had.
The same instinct appeared in data. GE possessed years of service history, material that could be treated as an archive or as a new product ingredient. Modak has described helping turn that history toward some of the business's early industrial internet offerings. Data gathered around machines could help customers understand and operate those machines differently.
His work at GE also brought him close to the policy side of a developing energy market. He served on the founding board of the American Biogas Council from 2010 to 2012 and co-chaired its legislative and regulatory affairs committee. That role placed product, market education and public policy in the same frame. Creating a category sometimes means building the institutions around it.
By the time he became CMO of GE Industrial Solutions, Modak was leading across product, vertical, channel, digital, field and event marketing. In 2018, Schneider Electric appointed him Chief Marketing Officer for North America. His mandate covered the United States, Canada and Mexico, with a plain but difficult goal: make the brand clearer, engage customers digitally and contribute to growth.
Reorganize around the question
Schneider Electric spans energy management and automation across homes, buildings, data centers, infrastructure and industry. Its portfolio contains hardware, software and services, often joined inside systems that a customer experiences as one operating problem. A marketing department arranged neatly by product can reproduce the company's org chart while missing the customer's world.
Modak's response was to press for an organization built around customer interests. Industrial buyers, he observed, care less about a product and its list of benefits than the issue in front of them and how a solution resolves it. Marketing therefore needs a listening system, not simply a publishing calendar.
Digital behavior, research patterns and shifts in attention.
Objections, buying context and the texture of active accounts.
Recurring questions, friction and where explanations fail.
This changes the relationship between marketing and sales. Marketing can bring behavioral evidence from websites and campaigns into commercial conversations. Sales can return direct feedback and help distribute a useful message. Service can reveal the questions customers keep asking. If a control repeatedly creates confusion, thousands of support interactions may contain the brief for the next how-to guide.
The approach also explains Modak's preference for existing accounts as a place to grow. In an established company, trust and context already exist there. Helping a customer discover another solution that solves a real adjacent problem can create value faster than treating every growth target as an anonymous new lead.
AI enters through the workbench
When generative AI arrived, Modak treated it less like a future topic than a tool that needed fingerprints on it. His advice to leaders is blunt: to know the technology, become a practitioner. Pick it up. Use it. Accept that the first output may disappoint. Leadership knowledge cannot come entirely from papers, consultants or a specialist demonstrating a polished example.
Marketing offered obvious early uses because it produces text, images, video, audio and code. A media brief that once took days could become a draft in minutes. At Schneider Electric, Modak set up an AI task force and worked to onboard a global marketing population described publicly as roughly 1,500 to 1,600 people. The first-order benefit was speed. The more interesting benefits appeared when the tool touched the wider system.
“To be truly knowledgeable, you have to be a practitioner.”Shonodeep Modak
AI can sift through customer-service calls, campaign behavior and other stores of unmanageable information. It can help a team locate patterns that suggest a missing explanation or a poorly understood need. It can generate variants at a scale that lets marketers test which narratives travel. It can help pressure-test a competitive argument. These are not merely faster versions of typing. They tighten the feedback loop between a company and its market.
The 2026 organization question
“Everyone on your team now has a team.”
Modak's point is organizational: specialized agents change the capability around each role, not just the speed of one task.
At B2B Online Chicago in May 2026, Modak pushed the argument beyond efficiency. Eventually, he suggested, everyone approaches a similar productivity frontier. If all teams get faster, speed alone stops distinguishing one of them. The advantage moves to customer understanding, the quality of a strategic conviction and the ability to connect marketing with sales.
His most vivid line was organizational: everyone on your team now has a team. A content writer or data analyst can operate beside a collection of specialized agents. The job changes because the unit of capability around the person changes. A leader must think about roles, judgment and accountability, not only software licenses.
The human remains on the circuit
Modak is enthusiastic about adoption without confusing adoption for surrender. He has said AI can improve marketing's impact while insisting that people remain at the core of using it well. The distinction is practical. A model can multiply options and surface patterns; a person still owns the truth of the claim, the context of the customer and the consequence of publishing.
There is a continuity here stretching back to the motor-oil aisle. Data helped explain how people shop, but it did not erase the need to understand why they choose. Service records helped reveal industrial value, but someone had to see a product inside the archive. AI can produce abundant content, but abundance does not decide what deserves to be said.
Modak's public personality fits this practical bent. Colleagues describe a data-driven leader who coaches and creates stretch opportunities. Event organizers remember an engaging speaker. His interviews mix systems thinking with an occasional joke, including a prediction that improving synthetic media might one day let interviewer and guest appear younger and thinner. The humor releases pressure without abandoning the question.
Today his remit covers Schneider Electric's Energy Management business, described in current event material as a $30 billion operation with more than 200 brands across products, software and services. He also serves on the board of S&S Holdings and advises UniGroup. The settings differ, but the recurring work looks familiar: find the customer signal inside a complicated enterprise and turn it into an operating choice.
A chemical engineer is trained to respect systems. A marketer must respect attention. Modak's career sits where those disciplines meet. The next control panel has agents in it, but the old questions still work: What is happening? Where is the constraint? Who needs this? What value can they actually feel? Trace those wires carefully and the story begins to explain itself.