Our Ideal Candidate
• Business Understanding:
• The person should know the finance and accounting principles.
• Should have thorough functional knowledge on F&A; processes and subprocesses e.g. Procure to Pay (P2P), Record to Report (R2R), Order to Cash (O2C) etc.
• Robust grasp of financial KPIs and their drivers.
• Good understanding of regulatory compliances like GAAP, IFRS etc
• Strategic Leadership:
• Discuss and define to bring intelligent automation vision, roadmap, and governance framework for the IFAO business unit.
• Bringing in platform-centric automation approach, removing and reducing manual work at a IFAO process (L1) and sub-process (L2) level.
• Champion the adoption of Agentic AI and Generative AI to enable autonomous decision-making and intelligent workflows.
• Align client specific IFAO initiatives with business goals and digital transformation strategies.
• 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 productivity tools.
• Team & Stakeholder Management:
• Collaborate with IFAO stakeholders and leadership and build the relationship and trust and become their primary technology partner.




• Collaborate with IFAO 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 IFAO automation initiatives.
• Continuously monitor, analyze, and optimize IFAO automation performance.
• Ensure robust change management and user adoption strategies. Required Skills Required Skills and

Qualifications:
• 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. Preferred

Qualifications:
• 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.

📌 AIA Delivery Lead (Chennai)
🏢 Capgemini
📍 Chennai