Account Executive
SAS
Account Executive
SAS
Analytics, BI, and data management software
Account Executive – Risk and Fraud Solutions
Location: Cary, North Carolina. We are also open to US-based remote workers.
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.
If you’re looking for a dynamic, fulfilling career with flexibility and world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
As a Risk, Fraud, and Compliance Account Executive, you will be responsible for driving new business growth and expanding SAS’s market presence across key enterprise accounts.
You will position SAS’s solutions, including Risk Modeling and Decisioning, Application and Identity Fraud, Enterprise Fraud Management, and Procurement Integrity to C-level
executives and key decision-makers across industries like Communications, Energy, Utilities, Oil & Gas, Manufacturing, Services, and Retail.
You are welcome here.
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information
SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
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SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.
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