- Define and execute the data and AI strategy roadmap.
- Define necessary data and translate into requirements for development teams.
- Own project lifecycle from intent recognition and planning to execution and coordination.
- Partner with Platform, Data Platform, Product Engineering, Design, Security, and Legal teams.
- Write engineering-ready epics and stories with clear acceptance criteria in Scrum.
- Define and own data products, including data warehouse and data lake requirements.
- Drive analytics maturity, including defining how usage and outcomes are analyzed for LLM/agent interfaces.