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NetSuite · 16 hours ago

AI and Analytics Lead - Human Resources

United States

Full-time

Remote

Senior Level

$87K/yr - $178K/yr

6+ years exp

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 involves the integration of Generative AI, agentic workflows, and Retrieval-Augmented Generation with a focus on operational excellence and mentoring engineers in best practices.

Cloud ComputingComputerCRMiOSSaaSSoftware

No H1B

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

Qualification

Generative AIOracle Analytics CloudETL pipelinesPythonSQL / PL/SQLMLOps / LLMOpsNatural Language ProcessingData pipeline developmentCommunication skillsProblem-solving skillsTechnical leadership

Required

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

Advanced proficiency in Python for AI and data engineering

Hands-on experience OCI, OML model optimization and production deployment

Strong background in data analysis, feature engineering, and data pipeline development

Experience building and operating AI systems on OCI etc

Expertise in Natural Language Processing (NLP), NL2SQL, conversational AI, and familiarity with Computer Vision pipelines

Experience with MLOps / LLMOps, including versioning, experiment tracking, CI/CD, observability, and governance

Strong grounding in mathematics, statistics, critical thinking, and problem-solving, with a deep commitment to ethical AI and Responsible AI practices

Preferred

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

Benefits

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

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.

11 paid holidays

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.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance