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.

Responsibilities

Key Responsibilities

• 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.

Required Qualifications

• 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, LangChain, 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.

Technical & Core AI 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), NL2SQL, 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.

Preferred Qualifications

• Experience integrating AI & Analytics capabilities into Oracle HR business applications.
• Familiarity with OCI AI, Data Science, and MLOps platforms.
• Background in Responsible AI, AI governance, or model evaluation frameworks.
• Experience delivering AI & Analytics driven features at enterprise scale with measurable business impact.

Why Join Oracle

• Lead AI-powered analytics initiatives across Oracle's global HR product portfolio.
• Build and operate production-grade AI & analytics systems embedded in enterprise applications.
• Collaborate with world-class engineers, data scientists, and product leaders.
• Enjoy remote flexibility, strong work-life balance, and long-term career growth.
• Influence platform-level decisions with global reach and impact.

Qualifications

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from $41.83 to $85.63 per hour; from: $87,000 to $178,100 per annum. May be eligible for equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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