- Drive alignment on data definitions across product and engineering teams
- Coordinate a multi-team, multi-quarter effort without direct authority over the teams doing the work.
- Partner closely with principal architects and engineering leads to make principled data modeling tradeoffs
- Ensure the data platform is easy to build against: clean APIs, well-documented contracts, and a clear upgrade path as the model evolves.
- Build the internal case for platform investment by connecting foundational decisions to real outcomes for integrations, AI features, and customer-facing products.
- Own the data catalog and validation process
- Measure adoption and coverage.
- Work closely with AI platform teams to ensure the data model serves as a reliable foundation for AI-driven experiences.
Requirements
- 5+ years experience as a Product Manager, with a proven track record of shipping impactful products
- Technical depth in data modeling, API design, or data infrastructure.
- Proven ability to drive alignment across teams and stakeholders you do not directly control.
- Comfort with ambiguity at the architectural level.
- Clear, direct communication with both technical and non-technical audiences.
- Deep experience working with qualitative stakeholder feedback and quantitative data to inform platform decisions.
- Nice to have: background in master data management, canonical data modeling, or developer platform product management in a SaaS environment.
Core Competencies
Demonstrates expertise in data modeling, API design, and data infrastructure, with a strong ability to drive alignment across diverse teams and stakeholders. Proven track record in product management, leveraging both qualitative and quantitative data to inform strategic platform decisions.
Highest-signal resume keywords
- Data Modeling
- API Design
- Product Management
- Stakeholder Alignment
- Data Infrastructure
Hard Skills
- Data Modeling
- API Design
- Data Infrastructure
- Quantitative Data Analysis
- Qualitative Feedback Analysis
Soft Skills
- Clear Communication
- Collaboration
- Comfort with Ambiguity
Industry Keywords
- Master Data Management
- Canonical Data Modeling
- SaaS Environment
Tools & Technologies
- Data Catalog
- Validation Process