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AIA Delivery Lead - IFAO Transformation

Capgemini · Chennai (ex Madras), IN

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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.