OMT OI AI Manager

• Lead the Intelligence Analytics function, driving the application of AI, advanced analytics, data modeling, and statistical methods to solve complex business problems.
• Define and execute the AI and analytics roadmap aligned with business strategy, operational priorities, and digital transformation goals.
• Partner with business, operations, and IT stakeholders to identify high‑value analytics and AI use cases and translate business needs into scalable solutions.
• Oversee the development, validation, deployment, and lifecycle management of AI models, predictive analytics, and statistical analyses.
• Ensure high data quality, robust feature engineering, and sound statistical methodology across all analytics initiatives.
• Establish best practices for model governance, performance monitoring, explainability, and ethical use of AI.
• Lead, mentor, and develop a team of data scientists, analytics engineers, and analysts, fostering a strong culture of technical excellence and continuous learning.
• Drive adoption and impact by enabling data‑driven decision‑making through actionable insights, dashboards, and storytelling.
• Collaborate with data platform and engineering teams to ensure analytics solutions are scalable, secure, and production‑ready.
• Track and communicate business value, ROI, and performance metrics of AI and analytics initiatives to senior leadership.
• Stay current with emerging AI, machine learning, and statistical techniques, and assess their applicability to the organization.

AI Relevant Job Responsibilities:

- Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

- Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business