Detail-oriented Data Product Manager at e.l.f. Beauty managing marketing measurement and data science models. Collaborate with data teams to ensure integrity and documentation of marketing data.
Responsibilities
Partner with data science and marketing teams to ensure data used in MMM is accessible and documented.
Maintain data pipelines and tables in Snowflake to support MMM.
Serve as a key partner to marketing and analytics teams for segmentation, personalization, and experimentation support.
Maintain, monitor, and retrain marketing data science models in Snowflake, supporting use cases like churn prediction, CLTV, and replenishment.
Work closely with the data team to operationalize and validate models used in CRM execution.
Own and manage the CRM Data Dictionary, ensuring all data elements, definitions, sources, and usage guidelines are clearly documented.
Create and enforce documentation standards that scale with our growing tech stack and use case complexity.
Help scope and manage ad hoc or new data product requests related to marketing measurement or customer data.
Establish and maintain quality assurance processes to ensure data integrity across platforms and workflows.
Support data compliance efforts, including GDPR/CCPA requirements related to marketing data
Requirements
Detail-oriented and technically adept professional with experience in managing marketing and data science infrastructure.
Strong understanding of Snowflake, data pipelines, and marketing measurement tools such as MMM and CDP.
Proven ability to collaborate cross-functionally with marketing, analytics, and data teams.
Experience maintaining and operationalizing data science models (e.g., churn prediction, CLTV, replenishment).
Knowledge of data governance, documentation standards, and compliance frameworks (GDPR/CCPA).
Excellent organizational, documentation, and communication skills to manage complex data environments.
Benefits
competitive pay and benefits
bonus eligibility (200% of target over the last four fiscal years)
equity
hybrid 3 day in office, 2 day at home work environment
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