About the role

Data Product Manager supporting data products team at Chainalysis by translating business needs into scalable data solutions. Collaborating with stakeholders and ensuring data quality and usability.

Responsibilities

Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions
Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting
Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders
Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking
Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials

Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment
Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows
Experience working with cross-functional teams including Data Engineering and business stakeholders
Experience translating complex business problems into clear product requirements and scalable data solutions
Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making
Experience creating and maintaining documentation in tools like Confluence
Excellent stakeholder management and communication skills
Strong analytical and problem-solving skills with a data-driven mindset
Experience driving product adoption and measuring impact