Customer Support Business Transformation Planning Specialist
Redesign merchant and user customer-support operations with AI assistance. Identify AI use cases from inquiry data and workflows, design AI-enabled processes and automation, define KPIs, measure results, and drive improvements while coordinating stakeholders and leading implementation and adoption.
Responsibilities
- Identify AI application areas, analyze issues, and plan operational improvements using inquiry data and workflows
- Design customer-support processes and operations using generative AI and AI assistance
- Define KPIs, visualize operations, measure outcomes, and execute improvement initiatives
- Align with management and related departments and provide reporting
- Lead the strategy, implementation, and adoption of AI-enabled customer-support transformation
- Drive planning, negotiation, and implementation of semi-automation enabling collaboration between people and machines
Requirements
- Experience leading business transformation projects
- Experience driving AI utilization or automation projects
- At least 2 years of experience coordinating stakeholders and consolidating business requirements
- Self-directed learning and willingness to adopt current technologies
- Strong teamwork and ability to translate business needs into technical solutions
- Proposal, negotiation, coordination, logical thinking, process visualization, and document preparation skills are desirable
Benefits
- Hybrid workstyle
- Super-flexible working hours with no core hours
- Weekends, public holidays, year-end, and New Year holidays
- 14 days of annual paid leave in the first year, prorated by joining month and available from the start date
- 3 or 5 personal leave days per year for illness, injury, medical appointments, and family or pet care
- Social insurance
- Corporate defined-contribution pension plan
- Exposure to customer-support systems across upstream planning through downstream operations
- Opportunity to build an AI-enabled customer-support platform and learn new technologies
- Collaboration with engineers, data analysts, and project managers