MyLiveCV

VP Sales - Data Management & Data Analytics

exl

united statesRemote$220,000 – $250,000 / yearlyPosted September 16, 2026Source: himalayasVerified · checked yesterday

Job Description

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](https://himalayas.app/companies/exl) and what we offer, please visit us at 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](https://himalayas.app/companies/exl) [EXL](https://himalayas.app/companies/exl) (NASDAQ: [EXL](https://himalayas.app/companies/exl)S) 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](https://himalayas.app/companies/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](https://himalayas.app/companies/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. Originally posted on [Himalayas](https://himalayas.app)