• Establish and lead the AI/ML/IPA Center of Excellence (CoE) to define the strategy, operating model, and governance for intelligent automation across FASST and Global Finance Technology • Develop and execute a multi-year roadmap to embed AI, ML, and GenAI into Finance processes (R2R, O2C, P2P) to drive measurable business outcomes • Partner with Finance and Technology leadership to identify, assess, and prioritize automation and AI opportunities • Serve as a thought leader on emerging AI, GenAI, and automation trends, ensuring alignment with enterprise digital transformation strategies • Build and lead a global, cross-functional CoE team of automation engineers, business analysts and solution architects • Define frameworks and best practices for model management, automation lifecycle, and responsible AI governance • Create reusable assets, reference architectures, and scalable solutions that accelerate delivery and adoption • Lead enablement initiatives to upskill teams and promote a data- and automation-first culture across Finance and Technology • Design, develop, and operationalize AI/ML, GenAI, and automation solutions leveraging enterprise-grade platforms such as Azure AI, Google Cloud AI, AWS AI, OpenAI, and related ecosystems • Deliver automation solutions that integrate with ERP, analytics, and workflow systems to improve efficiency, accuracy, and insights • Implement intelligent process automation (IPA) solutions using RPA, NLP, ML pipelines, process mining, and LLM-based copilots • Ensure scalability, reliability, and sustainability of deployed AI/automation systems through continuous monitoring and optimization • Collaborate with Global Finance Operations (GFO) and regional Finance leaders to align automation initiatives with global business priorities • Partner with FASST delivery teams, data platform owners, and enterprise architects to ensure solutions align with enterprise architecture and security standards • Engage with strategic technology vendors and cloud partners to co-innovate and explore next-generation AI/automation capabilities • Define and monitor KPIs to measure automation adoption, ROI, and business impact across Finance processes • Drive continuous improvement by leveraging data-driven insights and AI performance analytics • Evolve the CoE’s strategy and operating model to support scalability, governance, and long-term value creation