SAS has named Casey McGee, a 25-year enterprise software veteran, as its new executive vice president and chief sales officer, tasking him with leading the data and AI software company's global sales organization as it pushes deeper into applied AI deployments.

McGee joins SAS from Google, where he most recently served as managing director of Global Partner Ecosystem and Applied AI. The role gave him direct exposure to how enterprises and technology providers move AI from experimentation into deployed applications, a focus that aligns with SAS's stated strategy.

What does McGee bring to the role?

The new chief sales officer spent 22 years at Microsoft in sales, partner management and global operations roles. He created Microsoft's Digital Natives customer segment and led business operations for the company's Global Sales and Marketing organization. Before Google, he served as chief revenue officer at Lytx, where he ran marketing, sales, partnerships and customer success.

At SAS, McGee will oversee the global sales organization and its customer-focused growth strategy. He succeeds Riad Gydien, who spent 20 years at SAS and helped build the company's global sales organization and go-to-market approach before retiring. SAS conducted a global search for the replacement.

"Casey understands enterprise software, applied AI and partner ecosystems," SAS CEO Jim Goodnight said. "More importantly, he understands how to help customers get value from technology."

Why does the hire matter for SAS's AI push?

The leadership change lands as enterprise AI conversations shift away from model access and toward deployment inside existing data, governance and business processes. That shift raises the bar for sellers, who now operate in a more consultative role on complex, multi-vendor deployments where buyers expect concrete production outcomes.

McGee framed the change in commercial terms. "There's no shortage of companies promising AI transformation," he said. "But in this market, trust is becoming the real differentiator. Customers don't just need access to models; they need confidence that the data, decisions and outcomes behind them are reliable, responsible and connected to the way their industries actually work."

His experience with systems integrators, cloud infrastructure partners and software providers gives him the vocabulary to run those conversations. That background matters because enterprise AI adoption increasingly depends on combinations of software vendors, hyperscalers, integrators and industry-specific expertise.

What changes for SAS's sales motion?

McGee's mandate covers both direct sales and partner channels. Key priorities include:

• Translating SAS's analytics and data foundation into AI-driven customer growth
• Expanding go-to-market through cloud, software and services partners
• Building industry-specific deployment motions for regulated buyers
• Operationalizing governance and transparency messaging that competes with general-purpose AI vendors

The sales team will work across more buyer stakeholders than during the previous on-prem era, including data platform owners, compliance leads and line-of-business executives responsible for production AI outcomes.

What's the forward read?

SAS now runs its commercial organization under a leader whose resume is built almost entirely inside two of the largest cloud-era sales machines. As enterprise AI moves from pilots to production budgets, the company is betting that ecosystem fluency and trust-based selling will outweigh feature differentiation in deals where governance and reliability shape the shortlist.