About the role
Our Ideal Candidate
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Business Understanding:
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The person should know the finance and accounting principles.
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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.
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Strong grasp of financial KPIs and their drivers.
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Good understanding of regulatory compliances like GAAP, IFRS etc
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Strategic Leadership:
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Discuss and define to bring intelligent automation vision, roadmap, and governance framework for the IFAO business unit.
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Bringing in platform-centric automation approach, removing and reducing manual work at a IFAO process (L1) and sub-process (L2) level.
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Champion the adoption of Agentic AI and Generative AI to enable autonomous decision-making and intelligent workflows.
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Align client specific IFAO initiatives with business goals and digital transformation strategies.
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Technology & Innovation:
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Evaluate and implement Agentic AI systems capable of proactive task execution and adaptive learning.
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Drive the development and deployment of Generative AI models for content creation, customer interaction, and productivity tools.
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Team & Stakeholder Management:
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Collaborate with IFAO stakeholders and leadership and build the relationship and trust and become their primary technology partner.
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Collaborate with IFAO leaders to identify automation use-cases and jointly present to client to bring in more business.
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Build and lead a high-performing team of AI engineers, RPA developers, and automation architects.
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Performance & Optimization:
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Establish KPIs and ROI metrics for IFAO automation initiatives.
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Continuously monitor, analyze, and optimize IFAO automation performance.
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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.
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