The Enterprise Data and Analytics (ED&A;) team is responsible for unlocking the value in Chainalysis’ corporate data. 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.

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 be comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions.

Collaborate with Data Engineering to design, build, and optimize scalable, reusable data sets 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 data sets by creating clear documentation, examples, and enablement materials.

Experience working as a 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. Robust analytical and problem‑solving skills with a data‑driven mindset.

Experience in enterprise SaaS environments with knowledge of Go‑To‑Market and Quote‑to‑Cash processes. Familiarity with tools such as Databricks, Snowflake, dbt, Tableau or Looker.

Experience working with AI‑powered analytics tools (e.g., Databricks Genie or similar). Exposure to data governance, or data catalog tools. Technical background in SQL or analytics engineering. Familiarity with Salesforce, NetSuite, or other GTM/Finance systems.

Experience working in Agile environments using tools like Jira. AWS Redshift SQL Python Tableau Remote Work Yes – this Data Product Manager role is a remote position, with a preference for candidates located in Toronto, Canada. This is a full‑time position. #

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