Boston, MA, United States of America
10 hours ago
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.

Responsibilities

AI/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

                                   

Minimum Qualifications

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

#LI - DNI

Learn More

About Autodesk

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Benefits

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Salary transparency

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