Overview
As a Business Process Engineer, you will support end-to-end process discovery, analysis, and optimization for Evergreen.AI offerings. Your focus will include Business Process Management (BPM), process documentation, analysis, and support for GenAI-enabled improvements. You will work with cross-functional teams across business, strategy, data, and IT to design and operationalize process enhancements that enable AI-supported workflows.
In this role, you will contribute to transformation workstreams, partner with senior team members, and support the development of process-focused AI solutions. You will apply structured thinking and hands-on analysis to help shape digital capabilities, future-state processes, and AI-enabled process improvements.
Responsibilities
Process Transformation Support- Support business transformation initiatives by documenting current-state processes and identifying improvement opportunities.
• Facilitate and capture end-to-end processes with guidance from senior team members.
• Assist in articulating the business value of AI-driven or agentic workflows.
• Help evaluate and prioritize use cases across operations and IT.
• Participate in workshops with business stakeholders to gather requirements and define future-state needs.
• Prepare materials such as process maps, insights, and findings to support presentations and discussions.
Process Excellence & Design- Identify inefficiencies and support future-state process design aligned to business needs.
• Use task mining and process analytics tools (with guidance) to identify patterns and improvement areas.
• Contribute to the creation of automation or AI-enablement roadmaps.
• Support the design and documentation of AI-augmented process solutions leveraging GenAI models and automation capabilities.
Qualifications
- 5+ years of hands-on experience in process analysis, BPM, process optimization, operations excellence, or automation programs.
• Foundational understanding of BPM concepts, workflow tools, process mining, and/or GenAI is a plus. - Bachelor's degree in Business, Engineering, Computer Science, Information Systems, or related field.
- Strong analytical and problem-solving skills.
• Good presentation, facilitation, and communication capabilities.
• Self-starter mindset with strong collaboration skills.
• Proficiency in MS Office (PowerPoint, Excel, Visio).
