Process Engineer

Overview

Location: Charlotte, NC

Salary: $61.00 USD Hourly – $65.00 USD Hourly

Description:

Process Engineering Consultant (Process Engineer)

Location: Charlotte, NC – CIC or Ballantyne

Term: 6-month contract with strong potential for extension or conversion

About the Role

We are looking for a Process Engineering Consultant to help drive observation-based workflow optimization, process intelligence deployment, and workforce analytics initiatives. This role blends technical execution, analytical thinking, and cross-functional leadership to improve operational efficiency at scale.

Observe to Agent (O2A) Delivery

• Execute end-to-end O2A lifecycle activities (Observe ? Optimize ? Analyze ? Run).
• Support configuration of Observe Assistant, activity tagging, and persona behavior modeling.
• Translate observed behavior into actionable agentic features in partnership with engineering teams.

Process Intelligence Execution

• Deploy SKAN.ai agents, configure data masking, and validate data capture.
• Ensure all implementations comply with governance and privacy standards.
• Operate and refine the SKAN Digital Twin to detect workflow inefficiencies and generate optimization insights.
• Produce structured process documentation (SOPs) for automation and downstream teams.
• Monitor continuous observation cycles and maintain audit and logging quality.

Data Integration & Analysis

• Partner with technical teams to enable advanced masking, clickstream analytics, LLM-driven insights, and multi-application analysis.
• Support validation of call-time analytics, multitasking behavior patterns, and mainframe activity capture.

Workforce & Productivity Analytics

• Conduct observation deployments across multiple personas and applications.
• Build behavioral and task-level insights to drive productivity improvements.
• Analyze task-level behavior, cognitive load indicators, workflow patterns, and exceptions.

Cross-Functional Delivery Leadership

• Track program milestones, validate data quality, remove roadblocks, and ensure on-time delivery.
• Partner with business sponsors, product owners, data scientists, and operations SMEs to align strategy and execution.

• 6 years in process engineering, workforce analytics, task mining, automation, or equivalent experience (work, training, military, or education).
• Experience working with AI/ML or data-driven engineering teams.
• Strong delivery and project management skills.
• Demonstrated experience in process engineering and transformation initiatives.
• Ability to run multi-persona, multi-application observation programs.
• Proven ability to translate observed tasks into SOPs or automation requirements.