Workplace AI- Associate Director

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 technicalarchitecturesleveragingthe 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:

• Masters or PhD in Computer Science, Data Science, Engineering, or relatedfield.

• 10+ years of experience in data science, artificial intelligence, and analytics, with a proventrack recordin designing and implementing enterprise-scale AI solutions.

• Expertisein Python programming, with strong experience in Azure and AWS cloud ecosystems.

• Strong understanding of the evolving AI landscape, including agentic AI, LLMs, generative AI, andMLOpsbest 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 domainexpertisein IT service management.

• Vendor management experience, including evaluating, onboarding, and collaborating with AI and analytics technology partners.