Strategic Presales Architect – Automation & Integration
GBM
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Job summary
GBM Oman is seeking a Presales Consultant specializing in Automation and Integration to bridge IBM solutions with enterprise needs in Oman. The role entails architecting integration strategies and delivering value through hands-on workshops across IBM App Connect Enterprise, API Connect, MQ, and other IBM technologies.
The candidate will guide customer engagements, tailor integration frameworks, and position IBM solutions competitively while leveraging knowledge of Kafka ecosystems and related
Qualifications
- Bachelor’s degree in computer engineering, Computer Science, Information Technology, or a related field required; Masters preferred.
- 7–10 years of proven technical presales or consulting experience in the Omani market.
- Solid technical expertise in the IBM Integration and Automation portfolio.
- Exceptional communication and presentation skills for both technical and non-technical audiences.
Responsibilities
- Partner with sales to propose architectures and build custom solutions connecting enterprise systems.
- Lead technical workshops to prove value of IBM App Connect Enterprise, IBM API Connect, and IBM MQ.
- Architect tailored integration frameworks using IBM webMethods Hybrid Integration and IBM Cloud Pak for Business Automation.
- Provide guidance on intelligent automation and event streaming using IBM DataPower Gateway, IBM Event Automation, IBM Concert, and watsonx.orchestrate.
- Position IBM solutions against competitors like MuleSoft and Boomi; understand complementary technologies like Apache Kafka and Confluent.
Skills
Education
Tools
Job description
GBM Oman is seeking a Presales Consultant specializing in Automation and Integration to bridge IBM solutions with enterprise needs in Oman. The role entails architecting integration strategies and delivering value through hands-on workshops across IBM App Connect Enterprise, API Connect, MQ, and other IBM technologies.
The candidate will guide customer engagements, tailor integration frameworks, and position IBM solutions competitively while leveraging knowledge of Kafka ecosystems and related
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