Job Description

Process Engineering Consultant - Observe-to-Agent (O2A)

Location: Charlotte, NC (Hybrid)

Duration: 6 months with desire to extend/convert to FTE
Pay:  $70/hr W2 ONLY, NO C2C

Job Description:

The Process Engineering Consultant plays a critical role in delivering the Observe-to-Agent (O2A) lifecycle, enabling deep process intelligence, workflow optimization, and actionable insights that accelerate enterprise automation. This role blends hands-on process engineering, digital-twin execution, behavioral analytics, and cross-functional delivery leadership to support large-scale operational transformation.

Key Responsibilities:

• Observe-to-Agent (O2A) Delivery
• Execute all phases of the O2A lifecycle (Observe ? Analyze ? Optimize ? Run).
• Configure the Observe Assistant, apply activity tagging, and model persona-level behaviors.
• Partner with engineering teams to translate observed workflows into actionable agentic features and automation-ready requirements.

Process Intelligence Execution:

• Deploy SKAN.ai agents, configure masking protocols, validate data capture, and ensure strict adherence to governance and privacy standards.
• Operate and refine the SKAN Digital Twin to observe real-world workflows, identify inefficiencies, and generate actionable optimization insights.
• Produce structured process documentation (SOPs) for downstream automation, engineering, and operational teams.
• Maintain continuous observation cycles, including audit readiness, telemetry accuracy, and logging standards.

Data Integration & Analysis:

• Collaborate with teams to enable advanced data masking, clickstream capture, LLM-driven insights, and multi-application process analysis.
• Validate call-time analytics, multitasking behavior, and mainframe-level activity capture.
• Transform detailed process observations into structured insights that highlight complexity, friction points, and automation potential.

Workforce & Productivity Analytics:

• Conduct observation deployments across target personas, functions, and application ecosystems.
• Build deep behavioral and task-level insights to support workforce efficiency and productivity initiatives.
• Perform end-to-end analysis of cognitive load indicators, exception patterns, and task-level performance variation.

Cross-Functional Delivery Leadership:

• Drive delivery execution by tracking milestones, validating data quality, resolving blockers, and ensuring timely, accurate outputs.
• Partner closely with Business Sponsors, product owners, data scientists, engineering teams, and operations SMEs to align observations, insights, and recommendations.
• Communicate findings clearly and effectively to support decision-making and transformation efforts.
  
  

Required Qualifications:

• 6+ years of experience in process engineering, workforce analytics, task mining, automation, or related fields, supported by work experience, training, military service, or education.
• Strong delivery and project management experience with a track record of managing multi-persona, multi-application observation programs.
• Deep experience in process engineering, operational transformation, or workflow redesign.
• Proven ability to translate observed tasks into structured SOPs or automation-ready requirements.

Desired Qualifications:

• Experience collaborating with AI/ML teams or working in AI-enabled environments.
• Background in digital twins, productivity analytics, process mining, or task intelligence platforms.
• Familiarity with tools such as SKAN.ai, clickstream analytics, or observation-based discovery systems.
• Ability to work across technical and business teams to drive insight-rich, outcome-focused analysis.