Data Platform Architect (Brand Technical Specialist – Data Platform)

Introduction

A Technology Sales Engineer role (internally called a 'Brand Technical Specialist') within IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data. The role provides solutions to enable people across organizations the ability to turn data into actionable insights without having to wait for IT. It means selling multi-award-winning software, and world-class design practices that enable business analysts to ask new questions. The answers to which are shaping the future and changing the world.

The engineer will go through an excellent onboarding program and participate in an industry leading learning culture that will set you up for positive impact and success. Ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. You'll 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

As a Brand Technical Specialist, you'll work closely with clients to develop relationships, understand their needs, and earn their trust and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business.

Your Primary Responsibilities Will Include

• 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.
  
  

Characteristics of a successful Brand Technical Specialist include the ability to:

• Provide technical sales support for key programs and select client engagements during the pre-sales and post-sales process and to remove technical inhibitors to opportunities
• Utilize technical experts and accelerators to orchestrate viable customer solutions leveraging current capabilities and offerings. Provide input to product teams for solutions refinement and advancement
• Work in close collaboration with technical teams and IBM business units to develop winning client solutions
• Work across various territories and leverage industry experts within IBM markets
• Be the go-to resource when expertise may be needed in developing the architecture, executing garage engagements, and in co-creation customer engagements.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• 5 years of relevant, professional experience in technology sales and the Data and AI Industry
• Technical expertise in the Data, Data Fabric, Data Integration or Data Replication technology space. Ideally, looking for expertise with the IBM Data Integration stack including Cloud Pak for Data, DataStage, StreamSets, DataBand, Data Fabric, Data Integration & Replication (training on IBM's Data & AI offerings will be provided). Experience with competitive products in this space is a plus.
• Ability to translate business goals into technical solutions through collaborative teamwork and industry insights.
• Ability to utilize strong interpersonal and communication skills to influence diverse stakeholders within enterprises.
• Strong conversational capability to describe IBM offerings in the context of value it creates for an enterprise and for specific personas
• Demonstrated level of business acumen coupled with technical expertise.
• Ability to proactively prospect, share POVs, and progress new pipeline to closure.
  
  

Preferred Technical And Professional Experience

• Understanding of competitive landscape
• Demonstrated ability to work in complex, matrix managed organizational environment where collaboration and effective communication is essential to success
• Ability to anticipate, create and define innovative and visionary concepts in strategic environments
• Strong operational and project management skills
• Commercially minded and understands the end-to-end sales engagements with a strong sense of ownership, execution, and focus on client success