Chennai (ex Madras) AIA Delivery Lead IFAO Transformation

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.