Our Client is seeking a highly skilled Data Scientist Lead to drive enterprise AI/ML strategy, predictive analytics, and intelligent automation initiatives across our large-scale database and cloud ecosystem. This role will lead the design and deployment of advanced machine learning models, AI-driven monitoring solutions, and data science frameworks that enhance performance, reduce risk, optimize costs, and enable data-driven decision-making. The ideal candidate combines strong hands-on data science expertise with leadership capability, strategic thinking, and cross-functional collaboration experience.

Key Responsibilities: AI/ML Strategy & Leadership:

• Define and execute the enterprise AI/ML roadmap aligned with business objectives
• Lead development of predictive maintenance, anomaly detection, and capacity forecasting models
• Establish best practices for ML lifecycle management (ML Ops)
• Partner with Engineering, Cloud, Security, and Operations teams to embed AI into core platforms

Advanced Analytics & Modeling:

• Design, develop, and deploy machine learning models (regression, classification, clustering, time-series forecasting)
• Implement predictive performance analytics for database infrastructure

Data Engineering & Architecture Alignment:

• Collaborate with database and cloud architects on scalable data pipelines
• Design data ingestion, feature engineering, and model training workflows
• Ensure data quality, governance, and compliance standards are met

Team Leadership & Mentorship:

• Lead and mentor a team of data scientists and ML engineers
• Drive cross-training and upskilling within Database Services