IBM Computing
Introduction
As an Oracle Cloud Infrastructure (OCI) Data & AI Lead, you will be responsible for architecting, leading, and delivering innovative cloud data and AI solutions on Oracle Cloud. You will collaborate with clients to define data strategies, design scalable architectures, and implement analytics and AI/ML capabilities that drive business transformation. Your role and responsibilities
Lead end-to-end design and implementation of Data and AI solutions on Oracle Cloud Infrastructure (OCI). Architect and deploy solutions across Data Lakehouse, Data Warehouse, Data Integration, Analytics, and AI/ML workloads. Work with OCI services such as Autonomous Database, Oracle Data Lakehouse, Data Integration, Data Flow, GoldenGate, Analytics Cloud (OAC), and AI Services. Collaborate with cross-functional teams to integrate data and AI components across applications, infrastructure, and security layers. Support pre-sales activities including client presentations, solution design, and proposal development. Define best practices for cloud data architecture, governance, and MLOps. Mentor project teams and guide clients on adopting AI and data-driven decision-making. This Job can be performed from anywhere in the US. Required technical and professional expertise
Strong expertise in OCI Data and AI services — Autonomous Database, OAC, Data Lakehouse, GoldenGate, Data Flow, and AI/ML tools. Proven experience designing and delivering data pipelines, analytics models, and machine learning workflows. Deep understanding of data architecture, governance, and integration frameworks. Experience with GenAI, LLM-based solutions, and MLOps frameworks preferred. Strong client-facing communication and solution advisory skills. Experience leading large-scale cloud transformation projects, travel up to 50%. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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As an Oracle Cloud Infrastructure (OCI) Data & AI Lead, you will be responsible for architecting, leading, and delivering innovative cloud data and AI solutions on Oracle Cloud. You will collaborate with clients to define data strategies, design scalable architectures, and implement analytics and AI/ML capabilities that drive business transformation. Your role and responsibilities
Lead end-to-end design and implementation of Data and AI solutions on Oracle Cloud Infrastructure (OCI). Architect and deploy solutions across Data Lakehouse, Data Warehouse, Data Integration, Analytics, and AI/ML workloads. Work with OCI services such as Autonomous Database, Oracle Data Lakehouse, Data Integration, Data Flow, GoldenGate, Analytics Cloud (OAC), and AI Services. Collaborate with cross-functional teams to integrate data and AI components across applications, infrastructure, and security layers. Support pre-sales activities including client presentations, solution design, and proposal development. Define best practices for cloud data architecture, governance, and MLOps. Mentor project teams and guide clients on adopting AI and data-driven decision-making. This Job can be performed from anywhere in the US. Required technical and professional expertise
Strong expertise in OCI Data and AI services — Autonomous Database, OAC, Data Lakehouse, GoldenGate, Data Flow, and AI/ML tools. Proven experience designing and delivering data pipelines, analytics models, and machine learning workflows. Deep understanding of data architecture, governance, and integration frameworks. Experience with GenAI, LLM-based solutions, and MLOps frameworks preferred. Strong client-facing communication and solution advisory skills. Experience leading large-scale cloud transformation projects, travel up to 50%. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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