Overview Senior Principal / Associate Director, Data Science, AI & Analytics – Predictive Ops and Insights Responsibilities • Define and execute the vision, strategy, and roadmap for AI, data science, and analytics capabilities across Predictive Ops and Insights. • Lead the design and implementation of scalable, sustainable, and future-ready technical architectures leveraging the latest advancements in AI and agentic AI. • Serve as the senior solution architect for cross-functional initiatives, ensuring seamless integration across platforms and domains. • Drive innovation in predictive AI-based operations, including ServiceNow “Now Assist,” and enable descriptive analytics and insights generation on ServiceNow data. • Oversee the adoption and optimization of Azure Cloud, Azure ML Services, AWS, and data architecture for global IT Service Management (ITSM) and workplace solutions. • Mentor and lead a team of data scientists, AI engineers, and analysts, fostering a culture of technical excellence and continuous learning. • Collaborate with business and technology stakeholders to translate business needs into actionable AI and analytics solutions. Qualifications Mandatory Skills & Qualifications: • Master’s or PhD in Computer Science, Data Science, Engineering, or related field. • 10+ years of experience in data science, artificial intelligence, and analytics, with a proven track record in designing and implementing enterprise-scale AI solutions. • Expertise in Python programming, with strong experience in Azure and AWS cloud ecosystems. • Strong understanding of the evolving AI landscape, including agentic AI, LLMs, generative AI, and MLOps best practices. • Demonstrated experience architecting sustainable, end-to-end technical solutions for complex, global organizations. • Proven leadership skills with experience managing and developing high-performing technical teams. • Excellent communication and stakeholder management skills, with the ability to influence senior business and technology leaders. Good to Have: • Experience with ServiceNow IT Operations (ITOps) and domain expertise in IT service management. • Vendor management experience, including evaluating, onboarding, and collaborating with AI and analytics technology partners.