Data Product Manager

In this role, you’ll

• 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

We’re looking for candidates who have

• 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

Nice to have experience

• 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

Systems/Tools we use

• Marketo
• Salesforce
• NetSuite
• Adaptive Insights
• Pendo
• Fivetran
• Dagster
• AWS Redshift
• Databricks & Databricks Genie
• Git / Github Enterprise
• SQL
• dbt
• Python
• Tableau
• DataGrip
• Jira
• Confluence

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.