Chainalysis

Technology

DataProductManager

CA$115–165k ~AI est. Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Product Manager at Chainalysis. Skills: Data Product Management, Data Strategy, Analytics, Product Thinking. Own design of data products. Own discovery of data products”

Industry & Context.

Technology
Problems you'll solve

Analytical; Problem-solving; Data-driven mindset

What They're Looking For.

Must Have

Experience as Data Product Manager, Experience as Data Strategist, Experience in product-oriented, data-focused environment, Understanding of data ecosystems, Understanding of data warehousing, Understanding of data modeling, Understanding of analytics workflows, Experience with cross-functional teams, Experience with Data Engineering, Experience with business stakeholders, Experience translating business problems, Experience creating documentation, Experience maintaining documentation, Analytical skills, Problem-solving skills, Experience driving product adoption, Experience measuring impact

Nice to Have

Experience in enterprise SaaS environments, Knowledge of Go-To-Market processes, Knowledge of Quote-to-Cash processes, Familiarity with Databricks, Familiarity with Snowflake, Familiarity with dbt, Familiarity with Tableau, Familiarity with Looker, Experience with AI-powered analytics tools, Exposure to data governance, Exposure to data catalog tools, Technical background in SQL, Technical background in analytics engineering, Familiarity with Salesforce, Familiarity with NetSuite, Familiarity with GTM systems, Familiarity with Finance systems, Experience in Agile environments

What You'll Do.

Own design of data products

Own discovery of data products

Own operationalization of data products

Translate business needs into data assets

Ensure data product quality

Ensure data product usability

Ensure data product adoption

Partner with Data Engineering

Partner with Data Operations

Partner with business stakeholders

Maintain documentation

Translate business problems into use cases

Translate business problems into data solutions

Define metric definitions

Standardize semantic layers

Establish business logic

Establish calculation rules

Establish hierarchies

Design scalable datasets

Build scalable datasets

Optimize scalable datasets

Manage operational lifecycle

Manage issue resolution

Manage performance tracking

Drive adoption of datasets

Create enablement materials

How You'll Work.

Team & Collaboration

Cross-functional teams; Data Engineering; Data Operations; Business stakeholders

Communication Scope

Stakeholder communication

Process & Methodology

Agile environments

Full Job Description

Job Title: Data Product Manager Location: Canada (Remote, East Coast)   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. 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 are comfortable translating ambiguous stakeholder needs into structured, scalable data solutions while maintaining strong operational rigor. 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

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