Data Product Manager

• 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

• 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

• Marketo

• Salesforce

• NetSuite

• Adaptive Insights

• Pendo

• Fivetran

• Dagster

• AWS Redshift

• Databricks & Databricks Genie

• Git / Github Enterprise

• SQL

• dbt

• Python

• Tableau

• DataGrip

• Jira

• Confluence

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.