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. • Strong 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.