AIA Delivery Lead - IFAO Transformation

Job description

## **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.