IFAO-IA Transformation program delivery
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.
Chennai (ex Madras), IN