About Jocelyn
Jocelyn Sexton is the Vice President of Marketing at Growth Acceleration Partners (GAP), an AI consulting and technology services company focused on custom software, data engineering, AI services, and modernization solutions that help businesses transform revenue-generating and mission-critical applications. She brings more than 20 years of marketing and communications experience across the technology, government, and energy industries to her role, where she oversees brand awareness, demand generation, digital and event marketing, sales enablement, internal communications, and recruitment marketing for a global team.
Jocelyn earned an MBA from the McCombs School of Business at the University of Texas at Austin and a BA in Journalism from the University of North Texas. That foundation shapes how she and her team approach content at GAP: clear, audience-first, and genuinely useful. She writes on topics including AI strategy, digital transformation, and go-to-market execution for technology organizations.
Before joining GAP, Jocelyn held global marketing leadership roles at Dover Fueling Solutions, National Instruments (now NI), SailPoint, and Emerson Automation Solutions. Her breadth of B2B and enterprise technology experience informs how she connects marketing strategy to measurable business outcomes.
Jocelyn is frequently a guest on podcasts focused on technology, marketing, and leadership. She was named one of the Top 50 Women Leaders of Austin for 2023 by Women We Admire and served as a contributor to the Forbes Communications Council from 2021 to 2023. Outside of work, Jocelyn enjoys reading, hiking, boating, and traveling with her family.
Articles by Jocelyn Sexton 6
Jocelyn Sexton | June 17, 2026
The Human Element of Autonomous Engineering: Trust, Governance and the New AI Operating Model
(This is Part 3 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production. Read Part 1 and Part 2.) When we gathered with technology leaders at the Chief AI Officer (CAIO) Summit in New York City, one truth eclipsed all others: you can build the most architecturally […]
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Jocelyn Sexton | June 16, 2026
The Engine Room of Agentic AI: Architecture, Orchestration and the Illusion of “Clean Data”
(This is Part 2 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production. In Part 1, we broke down the PoC-to-Production Engineering Gap, using the commercial aviation autopilot analogy to show why 88% of AI pilots stall and why true ROI requires rewriting the operating model rather […]
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Jocelyn Sexton | June 15, 2026
Beyond the Hype: The Operational Reality of Moving from AI Pilots to Autonomous Engineering
(This is Part 1 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production.) In early June, our team from Growth Acceleration Partners hosted an executive roundtable at the Chief AI Officer (CAIO) Summit in New York City. The room was packed with CAIOs, CTOs and senior technology […]
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Jocelyn Sexton | May 18, 2026
Why Enterprise AI Agents Still Depend on Legacy Modernization and Human-in-the-Loop AI
If you’ve been watching the tickers lately, you’ve probably witnessed the playing out of SaaS valuations. Giants like ServiceNow have watched their stocks take sudden, double-digit dips, contributing to steep year-to-date drawdowns. ServiceNow took a brutal 17% hit in a single session following its Q1 2026 earnings, compounding a steep 33% slide since the start […]
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Jocelyn Sexton | April 29, 2026
The Velocity Trap: Why AI Orchestration Beats Speed
We’ve all seen the headlines. AI is supposedly coming for every job, every creative spark, and every decision-making process in the enterprise. Productivity is through the roof. Every executive team is racing to integrate “agentic” workflows into their tech stack. But after years of watching technology transform the workplace, we’re at a dangerous crossroads. Everyone […]
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Jocelyn Sexton | April 7, 2026
The Rise of the Autonomous Software Engineer: Why the Future of Software Belongs to Humans Who Lead AI
Something shifted in February. Not gradually, the way technology usually evolves, but sharply, like a switch being thrown. The AI models that struggled with 10,000 lines of code last fall suddenly handled 100,000 with ease. Then 500,000. Engineers who had been cautiously experimenting with large language models were suddenly watching them tear through entire codebases, […]
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