AI and Analytics Lead – Human Resources

Job Description

Oracle is seeking a highly experienced AI & Analytics Lead to design, build, and operate enterprise‑grade AI‑powered analytics solutions across Oracle HR Analytics platforms.

This role blends Generative AI (GenAI), agentic workflows, and Retrieval‑Augmented Generation (RAG) with full ownership of the analytics platform stack (Oracle Analytics Cloud ODI). You will operate at the intersection of LLM application engineering, analytics platforms, and enterprise data
, shaping how AI capabilities are embedded into Oracle’s global HR business applications.

As a senior IC4, you will design, implementation, and operational excellence
, while influencing platform‑level decisions and mentoring engineers through best practices in AI, Analytics, and Responsible AI.

• Design, build, and operate Generative AI systems
  , including agentic workflows and RAG pipelines
  , for enterprise analytics use cases.

• Architect LLM‑based workflows using prompt engineering, task decomposition, tool orchestration, and structured output validation.

• Integrate AI capabilities with enterprise analytics and data warehouse platforms to deliver reliable, explainable insights.

• Own and evolve the Oracle Analytics Cloud (OAC) platform and ODI‑based ETL pipelines
  , supporting both AI‑assisted and traditional analytics workloads.

• Optimize semantic AI & Analytics models, data pipelines, dashboards, and reports for performance, scalability, and AI‑readiness.

• Manage and tune ODI workflows and ensure high performance on Autonomous Data Warehouse (ADW) and OCI data services.

• Establish operational excellence through logging, tracing, monitoring, retries, and alerting for AI and analytics systems.

• Define and track AI & Analytics quality metrics
  , including precision, recall, hallucination detection, and business relevance.

• Implement Responsible AI guardrails
  , ensuring data privacy, security, compliance, and safe AI behavior aligned with Oracle policies.

• Evaluate emerging AI technologies and lead proof‑of‑concept experiments to assess enterprise viability.

• Build secure, scalable integrations using REST APIs and enterprise integration patterns.

• Enforce data governance
  , access controls, lineage, and documentation standards.

• Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI‑driven solutions
  .

• Provide technical mentorship and guidance across AI, Analytics, and platform engineering disciplines.

• 10 years of experience in software engineering, AI, analytics, or enterprise data platforms.

• 5 years of hands‑on experience building and operating Generative AI, agentic workflows, RAG systems, MCP, Lang Chain, APEX in production environments.

• Proven experience owning end‑to‑end analytics platforms
  , including Oracle Analytics Cloud (OAC) and ETL pipelines (ODI).

• Strong hands‑on experience with OAC (RPD, DV, Dataflows etc),
  ODI, Autonomous Data Warehouse (ADW), and OCI data services
  .

• Proficiency in Python and SQL / PL/SQL
  ; experience with R, is a plus.

• Experience working with open‑source LLMs and MLOps / LLMOps tooling
  .

• Solid understanding of REST APIs
  , secure enterprise integration, and distributed systems.

• Strong problem‑solving, communication, and technical leadership skills.

• Core Programming: Advanced proficiency in Python for AI and data engineering.

• ML / DL Frameworks: Hands‑on experience OCI, OML model optimization and production deployment.

• Data
  
  Skills:
  
  Strong background in data analysis, feature engineering, and data pipeline development
  .

• Cloud Platforms: Experience building and operating AI systems on OCI etc
  .

• Specialized AI Domains: Expertise in Natural Language Processing (NLP),
  NL2
  
  SQL
  , conversational AI, and familiarity with Computer Vision pipelines.

• AI Operations:
  
  Experience with
  MLOps / LLMOps
  , including versioning, experiment tracking, CI/CD, observability, and governance.

• Foundational
  
  Skills:
  
  Strong grounding in mathematics, statistics, critical thinking, and problem‑solving
  , with a deep commitment to ethical AI and Responsible AI practices
  .

• Experience integrating AI & Analytics capabilities into Or…