Data Product Manager at Chainalysis Inc.
Company: Chainalysis Inc.
Location: Ontario
Type: FULL_TIME
Job Description
<p style="min-height:1.5em"><strong>Job Title</strong>: Data Product Manager </p><p style="min-height:1.5em"><strong>Location:</strong> Canada (Remote, East Coast)</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><p style="min-height:1.5em">The Enterprise Data and Analytics (ED&A) team is responsible for unlocking the value in Chainalysis’ corporate data. We work with internal stakeholders in GTM, Operations and Finance. Our goal is to accelerate Chainalysis’ growth and empower our employees to do their best work.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">We are looking for a Data Product Manager to support the Data Products team by owning the design, discovery, and operationalization of data products. This role will be responsible for translating business needs into scalable, well-defined data assets and ensuring their ongoing quality, usability, and adoption.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">The ideal candidate will partner closely with Data Engineering, Data Operations, and business stakeholders to define data models, standardize metrics, and maintain high-quality documentation, ensuring enterprise data products are reliable, consistent, and usable. They will bring experience at the intersection of data, analytics, and product thinking, and are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>In this role, you’ll: </strong></p><p style="min-height:1.5em"></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions</p></li><li><p style="min-height:1.5em">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</p></li><li><p style="min-height:1.5em">Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders</p></li><li><p style="min-height:1.5em">Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking</p></li><li><p style="min-height:1.5em">Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>We’re looking for candidates who have: </strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment</p></li><li><p style="min-height:1.5em">Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows</p><
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