{"id":7105,"date":"2026-06-30T19:19:19","date_gmt":"2026-06-30T19:19:19","guid":{"rendered":"https:\/\/jobs.eightelevengroup.com\/jobs\/job\/a1wcv000000fuujeac-process-engineer-iv-charlotte-north-carolina\/"},"modified":"2026-06-30T22:08:57","modified_gmt":"2026-06-30T22:08:57","slug":"a1wcv000000fuujeac-process-engineer-iv-charlotte-north-carolina","status":"publish","type":"job_listing","link":"https:\/\/jobs.eightelevengroup.com\/jobs\/job\/a1wcv000000fuujeac-process-engineer-iv-charlotte-north-carolina\/","title":{"rendered":"Process Engineer IV"},"content":{"rendered":"

Process Engineer IV \u2013 AI Process Intelligence & Automation<\/strong><\/p>\n

Location: Charlotte, NC<\/strong><\/p>\n

Work Model: Hybrid, 3 days onsite per week<\/strong><\/p>\n

Contract Duration: 6-month W2 contract with potential to extend or convert<\/strong><\/p>\n

Pay Rate: $61\/hr W2, weekly pay<\/strong><\/p>\n

Start Date: ASAP<\/strong><\/p>\n

<\/p>\n

Calculated Hire is supporting a leading financial services client in their search for a Process Engineer IV to support enterprise process intelligence and agentic automation initiatives. This role will focus on observing and analyzing business workflows, identifying optimization opportunities, and translating process insights into automation-ready requirements for engineering, product, and operations teams.<\/span><\/p>\n

<\/p>\n

Job Description<\/strong><\/p>\n

The Process Engineer IV will play a key role in delivering the Observe-to-Agent lifecycle, helping business and technical teams better understand current-state workflows and identify opportunities for AI-enabled automation. This person will support process observation, workflow analysis, documentation, and cross-functional delivery across multiple personas, applications, and operational teams.<\/span><\/p>\n

The ideal candidate will have strong process engineering experience, excellent communication skills, and the ability to understand both business workflows and technical integration points. This role is best suited for someone who can partner with business stakeholders, engineers, product owners, data teams, and operations SMEs to turn observed workflows into clear, actionable process improvements and automation requirements.<\/span><\/p>\n

<\/p>\n

Responsibilities<\/strong><\/p>\n

\u2022<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Execute all phases of the Observe-to-Agent lifecycle, including observe, analyze, optimize, and run.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Understand business workflows by observing user behavior, process steps, system interactions, and operational pain points.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Configure observation tools, apply activity tagging, and support persona-level workflow modeling.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Partner with engineering teams to translate observed business processes into actionable agentic AI features, automation opportunities, and technical requirements.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Deploy and support process intelligence tools, including SKAN.ai or similar task mining, process mining, or observation-based discovery platforms.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Validate data capture, clickstream activity, masking protocols, and privacy\/governance requirements.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Operate and refine digital twin\/process intelligence outputs to identify workflow inefficiencies, process variation, friction points, and automation potential.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Create structured process documentation, SOPs, workflow maps, and automation-ready requirements for downstream engineering and operations teams.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Support continuous observation cycles, including telemetry accuracy, logging standards, audit readiness, and data quality validation.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Collaborate with teams on data masking, clickstream capture, LLM-driven insights, multi-application workflow analysis, and process analytics.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Analyze call-time activity, multitasking behavior, application usage, mainframe-level activity, and task-level productivity patterns.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Track delivery milestones, resolve blockers, validate outputs, and communicate progress across business and technical teams.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Partner closely with business sponsors, product owners, data scientists, engineers, and operations SMEs to align observations, insights, and recommendations.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Communicate findings clearly to support decision-making, operational transformation, and automation prioritization.<\/span><\/p>\n

<\/p>\n

Required Skills<\/strong><\/p>\n

\u2022<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a06+ years of experience in process engineering, process improvement, workforce analytics, task mining, automation, business process analysis, or a related field.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Strong understanding of business processes with the ability to observe workflows, identify gaps, and document current-state and future-state processes.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Hands-on experience supporting agentic AI, intelligent automation, process mining, task mining, workflow optimization, or related automation initiatives.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Ability to understand the design, architecture, and implementation approach behind agentic automation or AI-enabled solutions.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Strong communication skills with the ability to ask thoughtful questions, gather process details, and translate business workflows into clear documentation and requirements.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience partnering with engineering teams, application teams, product owners, data teams, and business stakeholders.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Ability to understand tool integrations, application impacts, data flows, and technical dependencies well enough to support conversations with engineers.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience creating SOPs, workflow documentation, process maps, or automation-ready business requirements.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Strong delivery and project management skills with experience managing timelines, milestones, blockers, and cross-functional outputs.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience working across multiple applications, business personas, and operational workflows.<\/span><\/p>\n

<\/p>\n

Desired Skills<\/strong><\/p>\n

\u2022<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience with SKAN.ai or similar process intelligence, task mining, or process mining platforms.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience with tools or concepts such as Celonis, UiPath Process Mining, UiPath Task Mining, FortressIQ, Soroco, clickstream analytics, digital twins, or observation-based discovery systems.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience working with AI\/ML teams, LLM-driven insights, AI agents, or agentic automation initiatives.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Background in workforce analytics, productivity analytics, behavioral analytics, operational transformation, or workflow redesign.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Experience supporting data masking, privacy controls, telemetry validation, logging standards, or governance requirements.<\/span><\/p>\n

\u2022\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Financial services, banking, operations, or enterprise transformation experience.<\/span><\/p>\n

<\/p>\n

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