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Evalueserve is seeking a high-impact Sales Leader to drive net-new enterprise revenue in Data, Analytics, and AI, engaging senior leaders and building strategic client relationships across industries. You will own the full sales cycle, translating AI concepts into measurable ROI, and collaborate with Solutions Architects and Partners to tailor data architectures and AI solutions for customers.
This role demands deep domain expertise and a proven track record in complex, multi-million-dollar
Evalueserve is a global leader in AI‑enhanced managed services, driving operational efficiency and scalability for top financial institutions. With 5,000 specialists worldwide, we combine deep domain expertise with AI and automation embedded directly into client workflows to deliver up to 40% productivity gains.
Today, over 100 financial institutions partner with us—including 6 of the 10 largest global corporate and investment banks, leading asset managers, private markets firms, and regional players across North America, Latin America, EMEA, MENA, and APAC. We bring deep expertise across the deal lifecycle, credit lending operations, investment research, quantitative investment strategies, risk management, and more. Our solutions are regularly recognized by industry analysts such as Forrester, Chartis, and Everest Group.
We are seeking a high-impact, results-driven Sales Leader with a demonstrated ability to win net-new enterprise business within the Data, Analytics, and AI landscape. This individual will play a critical role in accelerating revenue growth, expanding our market presence, and establishing strategic client relationships across target industries.
The ideal candidate brings a strong track record of enterprise sales success, deep C‑suite relationships, and significant experience selling Data & AI solutions, Analytics, Cloud, Digital Transformation, or Technology Consulting services. They will be responsible for developing and executing growth strategies, building a robust sales pipeline, opening new logos, engaging executive stakeholders, and closing large-scale transformational engagements.
Generative AI & LLMs, Data Intelligence Platforms (Databricks, Snowflake, AWS, Azure), AI Data Services (Annotation/Ops), Analytics, and Agentic Workflows.