Dolby Careers AI Transformation Analyst

Dolby•San Francisco, CA

About The Position

Dolby is building a capability to help the company transition to AI-enabled work. The team partners with functions across the company to redesign workflows, improve data foundations, and adopt new operating models that integrate people, AI agents, and automation. Its work brings together 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 improvement opportunities, and design future-state workflows using AI, automation, and stronger information architecture. The analyst interviews stakeholders, observes processes, maps information flows, organizes data, and helps teams rethink how work should be structured. Working alongside senior practitioners, the analyst 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 identify 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 leverage 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.
Interview stakeholders, observe work processes, map information flows, organize data, and support transformation initiatives.