Capgemini
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.