Hybrid Associate Manager, Data Product

at E.L.F. BEAUTY

• Job title: Associate Manager, Data Product
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Ahmedabad, India

About the role

• 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