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AI & Data Sales professional

DXC Technology, Indiana, PA, United States


We are seeking a driven Consultative AI Sales Professional to help DXC clients unlock measurable business value through AI/ML, Generative & Agentic AI platform and solutions. This role focuses on driving growth through net-new client acquisition and the expansion of AI-led work across existing client relationships, translating client needs into AI-enabled solutions

What You Will Do

Own the end-to-end sales lifecycle from prospecting through contract closure across net-new client pursuits and new opportunities within existing clients, including accurate close plans

Build and maintain strong, trusted relationships with prospective and existing clients to drive long-term growth

Lead consultative sales cycles, clearly articulating the value of AI/ML, GenAI & Agentic AI platform and solutions to senior business and technology stakeholders

Collaborate closely with delivery, solutioning, and pricing teams to shape competitive, differentiated proposals

Maintain accurate pipelines, forecasts, and weekly reporting to meet or exceed sales targets in a transparent and predictable manner

Value Creation & Market Insight

Stay current on industry trends, client challenges, and emerging AI capabilities

Understand client priorities, challenges, and unmet needs to identify AI opportunities within existing accounts and net-new clients

Tailor value propositions and position DXC’s AI offerings to address specific client needs and business objectives

Translate market and industry insights into compelling, outcome-focused client conversations

What You Bring

Bachelor’s or Master’s degree in AI, Computer Science, Business, or a related field

Proven success selling IT services, SaaS, or complex technology solutions in a consultative sales environment

Strong fluency in AI, ML, Generative & Agentic AI concepts (no coding required)

Excellent communication, storytelling, and negotiation skills with the ability to influence senior stakeholders

Strong sales discipline with experience managing forecasts, pipelines, and performance against targets

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