Workplace AI- Associate Director
PepsiCo · Hyderabad
OverviewSenior 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.
- 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.
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.