Introduction
A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') 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'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.
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Your Role and Responsibilities
Your Role and Responsibilities:
As a Brand Technical Specialist you'll work closely with clients to develop relationships, understand their needs, 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 constitute functionalities such as Data Integration (ETL), Data Store (DB2, Oracle, MySql) and Data Science (Watson studio, Watson ML).
- Providing proof of concepts and simplifying complex topics for meeting client's business requirements in the area of data platform modernization and analytics.
- Credibility Building: Establishing credibility and trust to facilitate architecture and solution benefits to drive revenue and technical business objectives.
Required Technical and Professional Expertise
- Minimum 5-10 years of experience in Data and AI technologies which should include Analytics & Advance Analytics solutions like Data lake, Data Warehouse, Business Analytics, AI, GenAI & Data fabric.
- Experiential selling including co-creation and hands-on technical sales methods such as: demos, custom demos, Proofs of concept, * Minimum Viable Products (MVPs) or other technical proofs
- Build deep brand (Data & AI) expertise to assist partners to deliver PoX (Custom Demo, PoC, MVP, etc.) to progress opportunities.
- Identifying partners with skills, expertise, and experience
- Exceptional interpersonal and communication skills, and an ability to collaborate effectively with Ecosystem Partners, clients and sales professionals.
- Understanding of areas of Governance Risk and Controls is a bonus.
- Experience in AI Landscape and technologies at work across Banking/Finance and Retail.
- Know how and technical capabilities and working experience on similar Data AI Products like Cloudera, Teradata, Oracle, Informatica, SAS, etc
Preferred Technical and Professional Expertise
- none