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AVP, AI/ML Service Line Sales Executive

2 months ago

Virginia Beach, Virginia, United States Cognizant Full time
POSITION SUMMARY:
The AVP, AI/ML Service Line Sales Executive will lead the sales strategy for AI and Machine Learning solutions across North America, with travel requirements of 50 to 75%.

ABOUT COGNIZANT:
Cognizant Technology Solutions (NASDAQ: CTSH) is a premier professional services firm that drives transformation for clients in the digital economy. With a robust annual revenue of $18 billion and a market capitalization of $41 billion, we empower global enterprises to navigate market changes and foster innovation.

KEY RESPONSIBILITIES:
The successful candidate will be responsible for:
  • Driving business growth and sales initiatives while managing quotas and targets.
  • Engaging in the sale of large-scale data management, analytics, and AI solutions across diverse sectors.
  • Influencing and effectively communicating with executive stakeholders.
  • Overseeing large consulting engagements and program execution in the data analytics and AI domains.
  • Understanding the comprehensive data and insights lifecycle across the business value chain.
  • Utilizing strong technical acumen to address business challenges and implement consultative selling techniques.
  • Staying informed on industry trends, customer challenges, and opportunities in areas such as cloud computing, AI/ML, data architecture, governance, IoT, and automation.
  • Managing data migration, governance, analytics, and reporting initiatives.
  • Promoting data solutions on platforms such as Azure, AWS, and GCP.
  • Leveraging knowledge of leading data products like Snowflake, Databricks, and Informatica.
  • Utilizing visualization tools including Power BI, Tableau, and Qlik.

QUALIFICATIONS:
  • A bachelor's degree in engineering or a related field is required.
  • An MBA or master's degree from a recognized institution is preferred.
  • Expertise in enterprise data management architecture, master data management, and data governance on cloud platforms (Azure, AWS, GCP).
  • Experience in data modernization, cloud solutions, data migration, and digital transformation.

EDUCATION:
A degree in Management, Business, or Economics is required; a master's degree is preferred.