AI Transformation Analyst — Flexible Work & Impact

Dolby Laboratories, Inc.; San Francisco (CA); Presencial; USD 76.000 - 99.000; Tempo integral

Benefícios oferecidos por esta vaga

Bonus

Benefits

Equity

Resumo da vaga

Dolby Laboratories, Inc. in San Francisco seeks an early-career AI Transformation Analyst to help teams prepare for the future of work. You will interview stakeholders, map workflows, and design future-state processes that leverage AI, automation, and better information architecture.

You will work with senior practitioners, gradually taking ownership of smaller engagements, and contribute to AI-enabled transformation initiatives across the organization.

Qualificações

• 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 related field.
• Excellent analytical and structured problem-solving abilities.
• Ability to simplify complex problems and communicate solutions clearly.

Responsabilidades

• Understand how work really happens: map workflows and information flows across teams.
• Build strong data foundations: design information structures to support AI and automation.
• Help design AI-ready ways of working: define how people, data, systems, and AI agents interact.
• Drive adoption and change: influence stakeholders with data and storytelling.

Conhecimentos

Curiosity about AI

Workflow documentation

Knowledge management

Analytical thinking

Problem solving

Communication

Formação

Bachelor's degree in Business, Engineering, Information Systems, Organizational Psychology, Human-Computer Interaction, Design, or related field

Descrição da vaga

Dolby Laboratories, Inc. in San Francisco seeks an early-career AI Transformation Analyst to help teams prepare for the future of work. You will interview stakeholders, map workflows, and design future-state processes that leverage AI, automation, and better information architecture.

You will work with senior practitioners, gradually taking ownership of smaller engagements, and contribute to AI-enabled transformation initiatives across the organization.