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