Manager - Customer Service, Digital
13 hours ago
- Strategy & Vision: Develop and execute the strategy for automating customer service interactions, identifying high-impact areas for ML/AI application (e.g., chatbots, virtual assistants, automated routing, predictive service).
- Requirements Definition: Serve as the primary liaison between the Customer Service team and Engineering.
- Translate business needs and customer pain points into clear, detailed, and technically feasible functional and non-functional requirements for ML/AI features and automation workflows.
- Specify requirements related to system integration, data handling, and performance metrics for the automation solutions.
- Ensure requirements are well-documented and align with overall product and engineering standards.
- Technical Acumen: Apply a good understanding of technology and data structures to solution design.
- Possess working knowledge of Application Programming Interfaces (APIs) to define how new ML/AI systems will integrate with existing Customer Relationship Management (CRM) tools, communication platforms, and back-end systems.
- Understand the basic principles and capabilities of relevant ML/AI models and data necessary for successful automation.
- Project Leadership & Execution: Manage the end-to-end lifecycle of automation projects.
- Prioritize initiatives, manage project timelines, and ensure successful deployment of automation features.
- Collaborate closely with Data Scientists, Engineers, Product Managers, and Customer Service leadership to deliver high-quality, scalable solutions.
- Performance Monitoring & Optimization: Define key performance indicators (KPIs) for automated interactions (e.g., deflection rate, resolution time, customer satisfaction).
- Monitor, analyze, and report on the performance of deployed automations and use data to drive continuous improvement and model refinement.
- Experience: 5+ years of experience in customer service operations, product management, business analysis, or a related field, with at least 2 years focused specifically on customer service automation, ML, or AI projects.
- Technical Skills:
- Demonstrable good understanding of technology concepts and the capabilities/limitations of AI/ML in a customer service context.
- Familiarity with API functionality and system integration processes.
- Experience writing comprehensive technical requirements and user stories for engineering teams.
- Proficiency in using data to drive decision-making and measure success.
- Soft Skills:
- Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to a non-technical audience and vice-versa.
- Strong analytical and problem-solving abilities.
- Proven ability to lead cross-functional projects and influence stakeholders at all levels.
- A passion for delivering an excellent customer experience through innovative technology.
- Education: Master's in Business, Computer Science, Engineering, or a related field, or equivalent practical experience.
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