Process Designer and Analyst

AutodeskBoston, MA
1d$81,000 - $145,200

About The Position

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.

Requirements

  • 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

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

Benefits

  • From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work.
  • Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
  • Salary is one part of Autodesk’s competitive compensation package.
  • In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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