IFAO-IA Transformation program delivery

• *Our Ideal Candidate**
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• **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**
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• *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.