Jennifer Wray serves as the Senior Vice President of Worldwide Field Technology at Teradata, where she plays a pivotal role in shaping the company’s presales strategy and execution. With a robust background in data warehousing and data quality, Jennifer is a senior-level thought leader who...
Jennifer Wray serves as the Senior Vice President of Worldwide Field Technology at Teradata, where she plays a pivotal role in shaping the company’s presales strategy and execution. With a robust background in data warehousing and data quality, Jennifer is a senior-level thought leader who is dedicated to fostering a customer-centric presales organization. Her team encompasses Solution Engineers, Cloud Architects, Ecosystem Architects, Technical Presales professionals, and Information Security Architects, all of whom are instrumental in delivering tailored solutions that meet the diverse needs of Teradata's global clientele.
Under her leadership, Jennifer has spearheaded key initiatives aimed at enhancing the effectiveness and efficiency of Teradata’s Technical Presales operations. She is accountable to the Chief Revenue Officer (CRO) for defining and implementing foundational practices that ensure the delivery of world-class presales initiatives. Her expertise in data warehouse architecture, ETL processes, and business intelligence enables her to guide her team in developing innovative solutions that leverage Teradata's cutting-edge technology.
Jennifer's commitment to excellence is reflected in her focus on performance tuning, metadata management, and systems analysis, which are critical for optimizing data-driven decision-making in enterprise environments. As a thought leader in the industry, she actively engages with clients and partners to explore new opportunities for collaboration, ensuring that Teradata remains at the forefront of data analytics and cloud solutions. Through her strategic vision and deep understanding of enterprise architecture, Jennifer Wray continues to drive Teradata's mission of empowering organizations to harness the full potential of their data.
