AI Transformation Analyst

Dolby Laboratories, Inc.•Brisbane, CA

23h•$76,200 - $98,900

About The Position

Dolby is building a capability to help the company transition to AI-enabled work. The team partners across functions to redesign workflows, improve data foundations, and support ways of working that integrate people, AI agents, and automation. It combines process design, business architecture, data strategy, organizational effectiveness, and change management. The early-career AI Transformation Analyst works directly with business teams to understand current work, identify opportunities for improvement, and design future-state workflows that use AI, automation, and better information architecture. The role involves interviewing stakeholders, observing processes, mapping information flows, organizing data, and helping teams rethink how work should be structured. The analyst works with senior practitioners and gradually takes ownership of smaller engagements and transformation initiatives.

Requirements

Curiosity about AI, automation, technology, and organizational change.
Experience documenting workflows and business processes.
Understanding of knowledge management, information architecture, or data governance concepts.
Bachelor's degree in Business, Engineering, Information Systems, Organizational Psychology, Human-Computer Interaction, Design, or a related field.
Excellent analytical and structured problem-solving abilities.
Ability to simplify complex problems and communicate solutions clearly.

Responsibilities

Partner with teams to understand workflows, decision-making, and how information moves through the organization.
Identify inefficiencies, knowledge gaps, and opportunities to improve how work gets done.
Document current-state processes and uncover patterns across teams.
Assess how teams organize information, documentation, and business knowledge.
Design information and data structures that make work easier to automate, scale, and augment with AI.
Partner with technical teams to translate business requirements into AI and automation solutions.
Help teams redesign workflows to take advantage of AI, automation, and emerging technologies.
Define how people, data, systems, and AI agents should work together to achieve better outcomes.
Create recommendations for future-state processes, operating models, and agent architectures.
Help teams navigate new ways of working and build confidence with AI-enabled tools.
Influence stakeholders through data, storytelling, and relationship building.