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 Datalake, Data Warehouse, Business Analytics, AI, GenAI & Datafabric.
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