FAQs
What is the primary focus of the Support SaaS Practice Architect role?
The primary focus is to deliver post-sales support and solutions to Oracle customers while advocating for their needs and resolving complex technical issues.
What experience is required for the Support SaaS Practice Architect position?
Candidates should have 7 years of experience with Core products or 8 years with Applications products, along with a degree in Computer Science, Management Information Systems, or related fields.
What are the key skills required for this role?
Key skills include experience in Supply Chain Management (SCM), SaaS application experience, application setup and integration, knowledge of SQL, PL/SQL, Java, and experience in project management or development.
How does this role interact with customers?
The role involves engaging with customers and partners to understand their experiences, challenges, and feedback regarding the SaaS products.
Is this a senior-level position?
Yes, this is a senior-level position categorized as Career Level - IC4.
What type of work environment can one expect in this role?
The work environment is fast-paced, requiring a proven ability to drive business results and adapt to new technologies and techniques.
Will there be opportunities for training and continuous learning in this role?
Yes, the role includes participation in quarterly support release readiness activities and training on new product features and technologies.
What kind of tools or technologies will be used in this position?
The position will utilize a variety of technologies including Oracle Visual Builder Cloud Service (VBCS), Oracle JET, and Oracle Intelligent Advisor (OIA), among others.
What will be the responsibilities of the Support SaaS Practice Architect?
Responsibilities include analyzing customer issues, designing diagnostics and automations, engaging in support readiness activities, and driving changes within the organization based on customer insights.
Is experience in data science necessary for this role?
Yes, practical experience in data science or analyzing telemetry for trending and root cause analysis is required.