AI Product Owner

The AI Product Owner is a core key role in AI projects within a global organization.

Focused on the in-depth integration of AI technology and internal business scenarios, this role delivers core value to the internal functional teams while maintaining a clear grasp of internal team needs and the key goals of AI project implementation.

Acting as a critical bridge between internal functional teams and the AI development team (algorithm & LLM engineers, frontend engineers, data scientists), the role requires a solid basic understanding of AI and architecture sorting capabilities to translate the needs and ideas of internal teams into technical language and implementation paths that the AI development team can understand and execute.

Additionally, the role represents the demands of internal functional teams, communicates a clear product vision within the AI development team, builds and maintains close collaborative relationships with internal stakeholders (functional teams, technical teams, sponsors, etc.).

Collaborating with internal AI Champions to set project priorities, define, own, and maintain the AI project backlog, drive the strategic implementation of AI projects, and maximize project value output.

Through effective leadership, establish a collaborative and win-win cross-functional team environment, and take responsibility for the entire lifecycle of AI projects-from requirement definition, technical selection, model iteration, and internal deployment to effect tracking-ensuring the achievement of project results and the realization of internal business value.

Job's Responsibilities

AI Project Value Proposition and Strategy Formulation
- Align with AI Champions to define the core value proposition and strategy of AI projects, ensure the team achieve strategic goals.

- Dive deep into internal business scenarios, communicate extensively with internal functional teams and stakeholders to identify pain points and efficiency improvement opportunities driven by AI.

- Understand internal team business logic, AI application scenarios, internal workflow requirements, and business process evolutions.

- Lead and participate in the formulation of internal team collaboration strategies to ensure the AI product direction aligns with actual internal business needs.

- Track cutting-edge AI technology trends to identify high-value AI innovations and application scenarios in internal business processes.

AI Project Management, Deployment and Support
- Collaborate with internal functional teams to build, follow up on, and support the entire internal deployment and application process of AI projects

- Analyze and co-build AI projects business cases with internal teams, focusing on core values brought by AI technology such as internal workflow optimization, efficiency improvement, and cost reductions.

- Collect and analyze internal team needs through regular meetings, workflow interviews and cross-team collaborations, and translate them into implement...