Data and AI AP

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for IBM. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

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%
  
  

Preferred Technical And Professional Experience

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.

If you have questions about this posting, please contact [email protected]