AI Transformation Analyst

Dolby•San Francisco, CA

23h•$76,200 - $98,900

About The Position

Dolby is hiring an early-career AI Transformation Analyst for its People and Places team, which is building a capability to help the company transition to AI-enabled work. The team partners with functions across the company to redesign workflows, strengthen data foundations, and integrate people, AI agents, and automation into new ways of working. Its work draws on process design, business architecture, data strategy, organizational effectiveness, and change management. The Analyst will work with business teams to understand current workflows, identify improvement opportunities, and design future-state processes that make use of AI, automation, and improved information architecture. The role involves interviewing stakeholders, observing work processes, mapping information flows, organizing data, and helping teams rethink how work should be structured. The Analyst will work alongside senior practitioners and gradually take ownership of smaller engagements and transformation initiatives. This is a full-time position. The San Francisco/Bay Area base salary range is $76,200–$98,900; the range may vary by location. Compensation may also include a bonus, benefits, and, for some roles, equity. Dolby describes its work approach as flexible and offers a collegial culture, challenging projects, and compensation and benefits. Dolby is an equal opportunity employer and considers qualified applicants with criminal histories consistent with applicable San Francisco requirements.

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.
Gradually take ownership of smaller engagements and transformation initiatives while working alongside senior practitioners.