IBM Data & AI SW Leader

  1. Conduct and plan for all Technical Sales (Presales) activities that falls under IBM Data & AI Solutions.
  2. Ability to own and close the deals under the products scope of IBM Data & AI Portfolio.
  3. Ability to translate customer requirements into technical requirements and map them to the proper IBM SW products.
  4. Driving complex software solution sales cycles to enterprise customers in multiple industries.
  5. Showcasing strong consultative value selling on the Big Data, AI, ML , ETL , BI and Advance Analytics.
  6. Develop teaming relationships with IBM’s sales and technical teams, including industry, services, and business partners.
  7. Work closely with technical team to prepare business use cases, prototypes, and  PoC’s. 
  8. To be able to come up with ideas based on client’s needs and turn that into a potential product/platform opportunities.
  9. Support on building price/estimation models for large engagements.
  10. Building sizing for respective solutions for IBM Data & AI portfolio.
  11. Develop proposals, solution architecture and other technical documents (RFIs, RFPs) as required to drive sales cycles. Delivering products briefs and regular updates to improve the demo library.
  12. Demonstrating strong communication skills and ability to convince key decision makers on expected business benefits and pricing models.
  13. Managed and coached technical resources.
  •  Must Have Skills:
  1. Arabic & English fluent, to be able to respond to bilingual RFP’s\Bids.
  2. Relevant Work-Experience of minimum 8 years in Software Pre-Sales or Consulting, preferably in Analytics/Data & AI area.
  3. Must have strong knowledge in IBM Data & AI solutions (CP4D, information server, Watson Services, Watson Studio, SPSS, DB2 Warehouse, Netezza , Cognos etc,, ).
  4. Familiar with DataOps, Data Management and Data Science.
  5. Experience in data management framework including (Data governance, Data Quality, Metadata, Master Data Management, EDW  ).
  6. Hands on experience on Data visualization technologies and Data mining tools.