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Internal Automation COE Leader
Full-time
Opportunity
We are seeking a visionary and strategic Head of Internal Automation to lead our internal automation initiatives, integrating cutting-edge technologies such as Agentic AI, Generative AI, and Robotic Process Automation (RPA). This role will be responsible for designing and executing a scalable automation strategy that drives operational efficiency, enhances customer experience, and fosters innovation. This role will report to the overall Hyper-automation Transformation Leader.
This role will streamline and optimize client’s internal business process and functions through automations, bringing in more efficiency and productivity.
There would be a productivity savings / revenue generation component for this leader would be assessed on a quarterly basis.
Our Ideal Candidate
Strategic Leadership:
Define and lead the internal automation vision, roadmap, and governance framework.
Bringing in platform-centric automation approach, removing and reducing manual work at a process (L1) and sub-process (L2) level.
Champion the adoption of Agentic AI and Generative AI to enable autonomous decision-making and intelligent workflows.
Technology & Innovation:
Evaluate and implement Agentic AI systems capable of proactive task execution and adaptive learning.
Drive the development and deployment of Generative AI models for content creation, customer interaction, and internal productivity tools.
Oversee RPA implementation across business units, ensuring scalability, security, and compliance.
Team & Stakeholder Management:
Collaborate with cross-functional teams including all the internal & existing clients.
Collaborate with Client/Account leaders to identify automation use-cases and jointly present to client to bring in more business.
Build and lead a high-performing team of AI engineers, RPA developers, and automation architects.
Performance & Optimization:
Establish KPIs and ROI metrics for internal automation initiatives.
Continuously monitor, analyze, and optimize internal automation performance.
Ensure robust change management and user adoption strategies.
Skills /Experience Required
Proven experience in leading enterprise automation programs.
Deep understanding of Agentic AI systems (e.g., autonomous agents, multi-agent frameworks).
Experience with Generative AI (e.g., LLMs & prompt engineering).
Expertise in RPA platforms (e.g., UiPath, Automation Anywhere etc).
Excellent leadership, communication, and stakeholder management skills.
Experience with AI governance, ethical AI, and regulatory compliance.
Familiarity with cloud platforms (AWS, Azure, GCP).
Certifications in AI, RPA, or digital transformation.
A Master of Business Administration (MBA) is preferred, with a focus on technology management or strategy.
