About the Role
Role details below.
Responsibilities
- Design future-state workflows using Generative and Agentic AI aligned with business goals, productivity outcomes and user needs.
- Lead cross-functional workshops to identify, prioritize, and shape high-impact AI use cases.
- Conduct deep business process analyses across departments (Sales, CustomerOps, Finance, IT, HR, etc.) to identify areas for automation, augmentation, or reimagination via AI.
- Prioritize high-ROI opportunities for AI integration, with a focus on reducing repetitive manual tasks and improving business delivery.
- Serve as the internal evangelist and subject matter expert for enterprise AI adoption
- Apply AI and LLMs to reduce costs, improve process efficiency, and modernize legacy operations.
- Build and lead a team of AI/ML engineers to develop scalable, production-ready solutions.
- Guide the effective use of LLMs for tasks such as automation, summarization, classification, and decision support.
- Secure stakeholder buy-in and drive commitment to AI-led change.
- Deliver measurable improvements in productivity, operational cost reduction, and process velocity.
- Partner with business and tech teams to define and execute implementation plans.
- Design and execute a company-wide change management strategy for AI adoption, including training, communication, and stakeholder alignment.
Requirements
- 9+ years of consistent achievement in driving business transformation, strategic advisory, and innovation.
- Practical experience leading AI, Generative AI, and Agentic AI initiatives aimed at modernizing functions like People, Customer Operations, Sales, Finance, Legal, and Marketing.
- Proven ability to lead multidisciplinary teams from ideation through to successful execution.
- Exceptional communication, facilitation, and narrative-building capabilities tailored for both technical and business-oriented audiences.
- Knowledgeable in applying design thinking techniques to foster innovation and solve complex challenges.
- Proven experience with organizational change management strategies and frameworks for measuring business impact.
Team
Structure: Lead a team of AI/ML engineers. Reports to: CIO
