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.