Unlock insights from recruiting and talent data using Oracle Analytics Cloud and AI to identify trends, predict outcomes, and drive strategic decisions.
Design, build, and deploy machine learning and generative AI solutions focused on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and intelligent search.
Develop AI-driven recruiting tools that assess candidate potential, career paths, and cultural fit using NLP, ML, and advanced analytics.
Translate complex analytical findings into clear, impactful insights and visual stories that inform business and talent strategies.
Design and maintain robust data models and create engaging visual dashboards for better decision-making.
Collaborate with Talent Acquisition teams and cross-functional partners to identify opportunities for AI integration and workflow optimization.
Promote a data-driven culture by championing analytics-based decision-making across recruiting functions.
Continuously innovate by exploring emerging AI, analytics, and visualization technologies to enhance talent insights.
Ensure ethical, transparent, and responsible use of AI in all recruitment-related applications.

Proven experience applying AI and analytics to generate insights and business recommendations.
Proficiency in data modeling, analytics, and visualization, with strong expertise in Oracle Analytics Cloud (OAC).
Strong analytical and problem-solving skills with experience interpreting complex datasets.
Excellent data storytelling skills – ability to translate analytical outputs into actionable narratives.
Clear communication and collaboration skills for cross-functional teamwork.
Strong critical thinking and ethical approach to AI-driven decision-making.

Good-to-Have:

Data Analyst

AI Engineer