Senior Facilities Manager overseeing multiple industrial warehouse facilities at Cushman & Wakefield. Providing technical and operational leadership to ensure efficient facility services.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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