Brand Technical Specialist: Data and AI Applications

Introduction
Technology Sales Engineer role within IBM’s Data & AI brand means accelerating enterprises’ success by improving their ability to understand their data. It means providing solutions that enable people across organizations in multiple roles the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award-winning software and world-class design practices that enables business analysts to ask new questions. The answers to which are literally shaping the future and changing the world.
Excellent onboarding and an industry leading learning culture will set you up for positive impact and success whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team you will be surrounded by bright minds and keen co-creators – always willing to help and be helped – as you apply passion to work that will compel our clients to invest in IBM’s products and services.

Your Role and Responsibilities

• Client Strategy Design: Creating client strategies for Data & AI infrastructure.
• Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.
• Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.
• Credibility Building: Establishing credibility and trust to facilitate the closure of intricate Cloud tech deals.

Preferred Location: Midwest Region.

Required Technical and Professional Expertise

• Identifying goals and strategies to effective deliver tactical solutions addressing the client’s business.
• Build and develop relationships leading to co-creation and development of AI solutions.
• Deliver strong reference architecture outlining and highlighting AI capabilities.

Preferred Technical and Professional Expertise

• Knowledge and experience with AI Foundation and Capabilities driving client adoption employing IBM’s Data and AI offerings.
• Knowledge and experience with Data and AI Information Architecture.
• Knowledge and experience with analytic tools to enable insights and discovery leading to client’s success in their AI strategy.