Process Designer and Analyst

Job Requisition ID #

26WD94675

Position Overview

We're hiring a Digital Support Process Designer & Analyst to shape, optimize, and operationalize AI-powered and intelligent automation (IA) workflows across the entire Customer Technical Success (CTS) organization. This role is the operational engine behind our AI/IA transformation. Mapping real support workflows, running experiments, gathering insights from global teams, and making sure our AI-driven solutions land cleanly and deliver measurable value across Digital Support (DS), Technical Support (TS), Global Customer Operations (GCO), Technical Adoption, and adjacent business functions.

This is a design + strategy role with a solution-architect mindset, on the human change management and process side. Someone who can zoom out to understand the entire support ecosystem, identify transformation opportunities, and then get hands-on with process mapping, experimentation frameworks, change management and adoption playbooks. You ensure the solutions built by the AI/IA Solutions Engineer solve the right problems with measurable impact, delight our employees, and are adopted.

• Map, analyze, and redesign operational workflows across CTS to identify where AI/IA can reduce friction, accelerate customer impact, or eliminate manual work
• Partner with the AI/IA Solutions Engineer to co-create future-state workflows that blend human expertise with AI assistance, ensuring clarity, consistency, and global scalability
• Develop workflow standards and AI-enhanced process templates to drive reusability across teams and product areas to align all of CTS
• Ensure workflows are intuitive, trusted, and elevate employee efficiency and experience

• Be the face of experimentation cycles (hypothesis → test → measure → decide) ensuring experiments are structured, measurable, and aligned to transformation goals
• Define success criteria and evaluation frameworks for each pilot, focusing on adoption, friction reduction, time savings, and employee experience improvements
• Run deep-dive sessions with teams to validate early prototypes, capture corner cases, and guide iteration
• Ensure alignment between operational needs, technical feasibility, organizational readiness, and long-term strategy
• Facilitate recurring working groups, design reviews, and experiment check-ins to keep stakeholders and leadership informed
• Work hand-in-hand with the AI/IA Solutions Engineer to convert operational learnings into technical designs-and vice versa

• Coordinate global change management with managers on new AI-powered workflows, ensuring teams understand the purpose, value, and expected outcomes, especially across multiple geographies
• Produce enablement guides, communication plans, adoption playbooks, and rollout kits that support experimentation → pilot → scale transitions

• Track adoption, usage, and impact metrics for all new workflows and experiments
• Build clear, compelling insights for leadership explaining where AI is delivering value and where friction remains
• Support the creation of business cases for additional investment, scaling decisions, and vendor/platform considerations

• 5+ years' experience in customer support operations, service design, digital transformation, or process optimization
• Technical aptitude demonstrating early adoption of new tools and technology
• Experience running structured experiments or pilots (hypothesis → test → measure → iterate)
• Demonstrated expertise with process modeling
• Ability to break down complex processes into clear, sequenced workflows with measurable outcomes
• Proven ability to lead cross-functional initiatives across multiple regions or business units
• Strong analytical skills with ability to synthesize user feedback, adoption metrics, and friction points into actionable insights
• Experience implementing change management practices at scale (Gaining awareness to drive desire, enablement, rollout planning, adoption measurement)
• Ability to translate technical operational needs into business requirements that guide engineering or vendor development
• Comfort working in ambiguous, fast-moving environments where processes and technologies evolve rapidly