Process Engineer 4

Introduction

In this contingent resource assignment, you may be involved in consulting on complex initiatives with broad impact and large-scale planning for Process Engineering. You will review and analyze complex, multi-faceted, larger scale, or longer-term Process Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. You will contribute to the resolution of complex and multi-faceted situations requiring a solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with personnel to drive impactful results.

Required Skills & Qualifications

• Applicants must be able to work directly on W2.
• 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.

Preferred Skills & 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.

Day-to-Day Responsibilities

• Execute all phases of the Observe-to-Agent (O2A) lifecycle, including observing, analyzing, optimizing, and running processes.
• 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.
• 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.
• Drive delivery execution by tracking milestones, validating data quality, resolving blockers, and ensuring timely, accurate outputs.
• Communicate findings clearly and effectively to support decision-making and transformation efforts.

Company Benefits & Culture

• Inclusive and supportive work environment that values diversity and promotes equity.
• Opportunities for professional growth and development.
• Engagement in meaningful work that drives transformative change.

For immediate consideration please click APPLY to begin the screening process.