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EXL

VP Sales - Data Management & Data Analytics

Posted 3 days ago
$220K - $250K per year
10+ years experience
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AI Summary

The role involves hunting for new business logos and driving sales for data management and analytics services. You will be responsible for building business cases for AI and data investments while managing complex client relationships.

  • Base salary ranges: $220k - $250k 
  • Total compensation includes base salary, sales rewards & commission plan, and RSU's
  • Location - This is a fully remote role. Applicants must be based in the mainland U.S with travel required up to 70%
  • To learn more about EXL and what we offer, please visit us at https://www.exlservice.com/us-careers-and-benefits

Vice President, Sales - Data Management and Data Analytics

Individual Contributor| New Logo Hunter | US Territory | Base + Commission | Remote / Travel Required

***This is an individual contributor role with high visibility in the organization - Candidates with an entrepreneurial mindset and experience in Data & Analytics Sales will be a good fit for this role. ***

ABOUT EXL

EXL (NASDAQ: EXLS) is a global data analytics and digital operations company. For 25 years, we have helped the world's leading enterprises turn complex data into intelligent action — combining deep domain expertise, AI, advanced analytics, and business process excellence to deliver measurable outcomes at scale.

EXL's Technology & Digital practice works with companies across the full technology spectrum — software, SaaS, semiconductor, hardware, internet platforms, cybersecurity, gaming, fintech, edtech, logistics technology, and telecommunications — helping them scale operations, improve unit economics, and embed analytics and AI into the fabric of how they work.

EXL is not an IT company.

We do not sell infrastructure, networking, or managed IT services. We sell operations transformation, data and AI services, and analytics — backed by proprietary technology, offshore delivery excellence, and a 90% AI implementation success rate against an industry average where nearly 70% of enterprise AI initiatives fail.

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