- Define and execute the data and AI product roadmap.
- Translate data needs into clear requirements for engineering teams.
- Own the full lifecycle of data and AI initiatives from intent recognition through execution.
- Partner with platform, engineering, design, security, and legal teams to build intuitive solutions.
- Write engineering-ready epics and stories with clear acceptance criteria using Scrum.
- Set up and define data products, including data warehouse and data lake requirements.
- Define how usage and outcomes are captured and analyzed, including analytics for LLM/agent interfaces.