Introduction to the Team The Ad Tech + Customer Intelligence team manages and builds a best-in-class marketing technology stack. From a recommendations engine, to DSP integrations, to a Data Management Platform - we are building an intelligent, efficient and automated toolset to assist our marketers and provide the most leverage possible. This work stream takes full advantage of other proprietary systems to create a fast iteration cycle and easy development.
Ideal Candidate As the Associate Product Manager for Measurement & External Platforms, your core task is to leverage external data from third parties to measure & evaluate the success of new business initiatives as well as enhance our in-house data-driven attribution models. Ideal candidate is hands-on and data-savvy. Candidate will serve as a subject matter expert, bridging the gap between external measurement platforms and helping internal stakeholders and marketers collect, use, and properly leverage this data.
Become a subject matter experience - learn your product inside and out and be able to answer almost any question about customer data and audience segments.
Collaborate closely with engineers, data scientists, marketers and external vendors to leverage external data and help build best in class measurement frameworks and attribution models.
Engage with business stakeholders and analysts to ensure that the data are organized, accessible, and easy to activate in multiple marketing use cases.
Work with large and complex SQL, Hive, Vertica databases, and external data environments.
Prioritize many requests and ideas for features by understanding the business value and impact, weighed against the risk and development time.
Maintain a product vision and roadmap, keeping stakeholders and constituents up to date on the top level goals and timelines.
Market your product internally to various departments to ensure all available users know about your product and how they could benefit from it.
Provide regular trainings and communications on the product to various audiences.
BA with strong academic record (strong preference for quantitative, scientific, or technical backgrounds).
Intermediate SQL - must demonstrate an ability to understand table schemas, join techniques, and common operatives like WHERE, CASE, etc.
Proven analytical / quantitative analysis skills, especially when working with web-based (big) data. Statistical analysis a plus.
Strong written and verbal communication and a demonstrated ability to explain technical concepts to non-technical audiences, work across several stakeholder groups, and cultivate senior presence
Ability to structure problems, develop clear hypotheses, and prioritize work against the largest impact initiatives.
High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
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