Process Designer and Analyst
Listed on 2026-02-16
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IT/Tech
AI Engineer, Data Science Manager, Data Analyst, Technical Writer
Job Requisition # 26WD94675
Position OverviewWe’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.
ResponsibilitiesAI/IA Workflow Experience Design:
- 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
Experimentation Ownership & Operational Validation:
- 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
Change Leadership & Global Enablement:
- 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
Measurement, Reporting & Value Communication:
- 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…
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