Process Engineer

Job Title:
Process Engineer

Location:
Charlotte, NC 28277 (Hybrid – 3 days onsite)

Duration: 06+ months (possible extension or conversion to FTE)

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.