VP Sales - Data Management & Data Analytics

Base salary ranges: $220k - $250k Total compensation includes base salary, sales rewards & commission plan, and RSU'sLocation - 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 President, Sales - Data Management and Data AnalyticsIndividual 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 EXLEXL (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.Qualifications Required:10+ years selling data and AI services or offerings built on at least one major public cloud or data platform (Amazon Web Services, Google Cloud Platform, Microsoft Azure, Databricks, Snowflake)Track record managing complex clients with long sales cycles and significant transaction values, with emphasis on data platforms (cloud native such as ADLS and Fabric, cloud enabled such as Databricks and Snowflake), ETL, and data visualization toolsWorking understanding of cloud solution architecture, including scalable, available, and fault-tolerant designs and integration across cloud applications and cloud types (public, private, hybrid), sufficient to position solutions credibly and shape them alongside technical teams.Experience selling Generative AI services, with enough command of the landscape to hold a credible conversation on the GenAI platforms clients are standardizing on (Amazon Bedrock, Azure OpenAI and AI Foundry, Google Vertex AI, Databricks Mosaic AI), the patterns that carry enterprise use cases (RAG, fine-tuning, multi-agent and agentic workflows, model orchestration), and the unstructured data readiness and governance work all of it depends onGrounding in traditional machine learning and MLOps (SageMaker, Azure ML, Vertex AI, Databricks ML), enough to steer clients toward the right approach rather than defaulting to a language modelAbility to build the business case for Data and AI investments with business and technical buyers, including where value is realistic and where it is notFamiliarity with migrating complex, multi-tier solutions to cloud platforms and with the modern delivery methodologies and frameworks used to do itAbility to travel up to 50% on average, depending on the work you do and the clients and sectors you serveMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the futurePreferredExperience in the diversified industries that include Manufacturing, Retail, ecommerce, big tech, energy/utilities, infrastructure.Experience positioning data monetization or externally facing data products, not only internal modernizationFamiliarity with data mesh and data product operating models, and with the organizational change that comes with themExperience selling generative AI or agentic AI engagements that reached production rather than stopping at pilotFamiliarity with AI governance and responsible AI requirements as they come up in enterprise procurementPartner sales certifications or accreditations from a hyperscale or data platform vendorPlease note:The posted base salary range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.What you will leadPipeline development and maturation with alliance partnersScaling go-to-market initiatives across industry and alliance teamsQualifying and advancing consulting opportunities as part of a broader GTM teamSales executionRun a disciplined sales pipeline covering lead management, qualification, and consistent application of established sales methodologyIdentify and align the right Data Management resources to pursue, win, and manage opportunitiesBuild organized, differentiated go-to-market activitiesDevelop overview materials that carry initial meetings and conversationsLead preparation for formal sales meetings and orals on qualified opportunitiesShape pursuits by drawing on relationships for insight and influence setting win themes, aligning messaging to client priorities, guiding proposal and orals materials, and presenting in orals sessions where appropriateSupport pre-sales with deep product knowledge, demonstrations tailored to the client's environment, and industry expertise that informs bespoke solutionsMarket offering and planning supportSupport the development and positioning of Data Management market offeringsSupport leadership in building account and GTM plans through the annual planning cycleParticipate in industry leadership calls and in-person meetings, including planning and preparationThe successful candidate willWork independently and contribute effectively as part of a teamCommunicate clearly in writing and in person, including with senior client stakeholdersBuild and sustain professional relationships across clients, partners, and internal teamsLead projects and workstreams from start to finishManage and prioritize competing demands in a fast-paced environment and consistently meet deadlinesHold a high bar for detail and quality of work productMentor others and provide clear guidanceFull timePosting Date: 2026-09-02