Requirements
- 5+ years of product management experience, with significant time spent on data platforms, data infrastructure, or data-intensive enterprise products.
- Proven experience building or scaling enterprise data platforms — including data warehousing, data lakes, ETL/ELT pipelines, or modern data stack tooling (e.g., Snowflake, Databricks, dbt, Airflow, Spark).
- Strong understanding of data modeling, data governance, and data quality frameworks.
- Experience working with diverse data types — including transactional data, customer data, financial data, and ideally blockchain or on-chain data.
- Track record of driving cross-functional alignment and adoption for internal platform products where you must influence without direct authority.
- Exceptional written and verbal communication skills, with the ability to convey complex data architecture concepts to both technical and non-technical audiences.
Nice to Have
- You have hands-on experience with blockchain data indexing, onchain analytics, or crypto-native data infrastructure
- You have built data platforms that serve both internal analytics consumers and external client-facing products (reports, statements, dashboards).
- You have experience supporting client-facing data products — treating data as a first-class product with clear ownership, SLAs, support paths, and escalation management.
- You have a background in engineering or data engineering, giving you the technical depth to partner effectively with infrastructure teams.
- You have worked at the intersection of compliance and data, building systems that support AML, KYC, finance or regulatory reporting requirements that produce audit-ready outputs.
- You've seen and were emotionally moved by the musical Hamilton :)
