Define and execute the roadmap for data products with an emphasis on clickstream and behavioral data.
Serve as the voice of the customer (data consumers) to prioritize use cases and drive adoption across business and technical teams.
Champion data as a product, ensuring datasets are discoverable, trustworthy, well-documented, and fit for purpose.
Partner with data engineering, analytics, and digital product teams to define data requirements, establish SLAs, and ensure robust data pipelines.
Translate business needs into technical specifications, user stories, and data models.
Oversee the lifecycle of tracking plans and digital instrumentation in collaboration with analytics engineers and developers.
Own data quality processes for clickstream data — establishing validation, anomaly detection, and documentation standards.
Ensure data privacy, compliance, and governance policies are integrated into the product lifecycle.
Act as a key liaison between engineering, marketing, product, analytics, and executive teams for all things related to clickstream and behavioral data.
Facilitate training, onboarding, and education around available data products and tools.
Requirements
7+ years of experience in product management, data engineering, analytics, or a related role.
Deep familiarity with clickstream data, digital analytics tools (e.g., Adobe Analytics, GA4, Mixpanel), and tag management systems.
Strong understanding of data engineering principles — ETL/ELT processes, data modeling, and warehouse environments (e.g., Snowflake, BigQuery).
Experience writing technical documentation, user stories, and managing agile workflows.
Excellent stakeholder management and communication skills, especially in cross-functional environments.
Bonus: Experience with CDPs (e.g., Segment, mParticle), event taxonomy management, or privacy-focused data design.
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