Data Engineer

• Development and implementation of scalable AI solutions to address complex business challenges in the area of Finance, HR, Law, Compliance and Learning.
• Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.
• Build and optimize AI agents that can autonomously handle complex tasks, make decisions, and deliver insights in real-time.
• Develop, integrate, and continuously improve AI-powered chatbots and virtual assistants to support employees across various teams.
• Focus on augmenting the decision-making capabilities of leadership teams by providing AI-powered insights that inform strategic initiatives for BMS.
• Collaborate with cross-functional teams to translate business requirements into technical specifications and solutions.
• Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
• Develop standard AI frameworks for streamlined deployment practices.
• Establish and maintain consistent documentation of AI capabilities.
• Work closely with data & analytics, technology teams and business stakeholders across Enabling Functions to ensure alignment on AI initiatives and goals.
• Use data storytelling techniques when presenting to business stakeholders to clearly communicate technical value provided.

AI, Data Engineer

Data Engineer

Associate Director, Data Engineer

Senior Data Engineer

SIEM & Data Engineer – Assistant Vice President

Director, Quant Data Engineering