Cognizant
AVP, Service Line Sales Leader AI/ML
Cognizant, Virginia Beach, Virginia, us, 23450
AVP, Service Line Sales Leader – North America 50 to 75% travelCOGNIZANT OVERVIEWCognizant Technology Solutions (NASDAQ: CTSH) is one of the world’s leading professional services companies, transforming customers’ business, operating, and technology models for the digital economy. With annual revenues of $18 billion and a market value of $41 billion, we help global corporations adapt to market disruptions and build stronger, more agile, and innovative businesses.At Cognizant, we give organizations the insights to anticipate what customers want and act instantly to deliver on those demands so our clients can achieve the goal of every modern business: staying one step ahead of a fast-changing world. In addition to honors such as being listed #185 on the 2021 Fortune 500, Cognizant was again named on Fortune’s List of the Global Most Admired Companies for 2022.ROLE RESPONSIBILITIES: AVP, Service Line Sales Leader, AI/ML Analytics & Data
Basic Qualifications:•Solid experience leading a business growth / sales function and team and ownership of quotas/targets•Experience selling large data management, analytics, and AI deals across multiple industries.•Proven ability to influence and communicate effectively with business stakeholders in the C-Suite.•Experience with largescale consulting and program execution engagements in the data analytics and AI space.•In depth understanding of the 360-degree aspects of the data and insights life cycle across the business value chain.•Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with “consultative selling”.•Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.•Experience with data migration, data management, governance analytics and reporting.•Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms.•Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.•Experience with leading Visualization tools such as Power BI, Tableau, Qlik etc.
Preferred Qualifications:•Bachelor’s degree in engineering or equivalent•MBA or master’s degree from a top-ranked institution.•Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality on cloud hyperscalers ( Azure,AWS, GCP )•Knowledge in data modernization, Cloud, data migration and digital transformation
EDUCATION:•
Management/ Business/ Economics;
master’s degree is preferred.
Basic Qualifications:•Solid experience leading a business growth / sales function and team and ownership of quotas/targets•Experience selling large data management, analytics, and AI deals across multiple industries.•Proven ability to influence and communicate effectively with business stakeholders in the C-Suite.•Experience with largescale consulting and program execution engagements in the data analytics and AI space.•In depth understanding of the 360-degree aspects of the data and insights life cycle across the business value chain.•Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with “consultative selling”.•Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.•Experience with data migration, data management, governance analytics and reporting.•Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms.•Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.•Experience with leading Visualization tools such as Power BI, Tableau, Qlik etc.
Preferred Qualifications:•Bachelor’s degree in engineering or equivalent•MBA or master’s degree from a top-ranked institution.•Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality on cloud hyperscalers ( Azure,AWS, GCP )•Knowledge in data modernization, Cloud, data migration and digital transformation
EDUCATION:•
Management/ Business/ Economics;
master’s degree is preferred.