Process Engineer 4

IntroductionIn 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 & QualificationsApplicants 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 & QualificationsExperience 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 ResponsibilitiesExecute 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 & CultureInclusive 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.