Revenue Analyst 2-Fin

Revenue Analyst 2-Fin

Role Summary
Lead the creation and adoption of AI-enabled learning and knowledge-management practices for Customer Data teams. The role focuses on making process knowledge easy to find, understand, maintain, and apply improving employee capability, consistency, and operational outcomes.

Key Responsibilities

• Design and maintain structured learning journeys for Customer Data processes, tools, policies, desk manual, confluence page, and controls. 
• Build and curate a reliable knowledge base, including SOPs, FAQs, playbooks, and process updates. 
• Apply AI tools to improve knowledge search, content creation, learning personalization, and employee self-service. 
• Partner with different business teams, operations, GFO and all stakeholders to identify skill, minimize interactions and fix knowledge gaps. 
• Translate complex process and system changes into clear, user-friendly learning content. 
• Drive adoption of AI-enabled learning platforms and measure learner engagement and knowledge effectiveness. 
• Establish content governance, review cycles, version control, and ownership for knowledge assets. 
• Analyze learning feedback, quality trends, and operational data to continuously improve training and documentation. 
• Support change-management initiatives by preparing teams for new Customer Data processes, tools, and ways of working. 
• Ensure all learning and knowledge materials meet data privacy, security, compliance, and accessibility standards. 

Required Qualifications

• Bachelor’s degree or equivalent practical experience. 
• Experience in learning & development, knowledge management, process documentation, operations enablement, or a related field. 
• Working knowledge of AI-enabled learning, generative AI, knowledge-management platforms, or intelligent search tools. 
• Strong written communication and ability to simplify complex topics. 
• Experience creating learning materials such as e-learning modules, guides, presentations, and facilitator-led content. 
• Strong stakeholder-management, analytical, and problem-solving skills. 
• Ability to manage multiple priorities independently in a fast-paced environment. 

Preferred Qualifications

• Experience in quote to cash teams
• Familiarity with learning platforms, knowledge bases, learning tools, or collaboration platforms. 
• Experience using analytics to measure learning impact and knowledge adoption. 
• Understanding of data privacy and regulatory requirements relevant to customer data. 
• Certification or training in instructional design, knowledge management, AI, or change management. 

Success Measures

• Increased usage and accuracy of knowledge resources. 
• Improved learning completion, assessment, and capability outcomes. 
• Reduced time to proficiency for new or transitioning team members. 
• Better process adherence and lower knowledge-related errors. 
• Measurable efficiency gains through AI-enabled learning and self-service.

Customer Data: AI-Enabled Learning & Knowledge Lead – IC2