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Product Manager/Data Evangelist

Location : Phila., PA
Job Type : Temp/Contract
Hours : Full Time
Required Years of Experience : 4+
Required Education : BS
Travel : No
Relocation : No

Job Description :

Product Manager/Data Evangelist


Manage business relationships with syndication partners and work with data analytics teams to develop and deliver data products for partners. Engage with partners to build Proof of Concept (POC) and KPI’s to deliver on user requirements and improve and manage user experience

·  Understand how existing processes impact end customers and work closely with cross-functional teams to create new approaches for delivering data and reporting products.

·  Understand customer behavior and needs and be able to translate that into product requirements.



-   Support the collecting and leveraging of data for decision making with new data streams

-   Develop POC’s for possible measures that could result in syndication of data products  

-   Determine accuracy and relevance of data and answer questions such as

        §   are the data sources applicable

        §   are calculations and measures relevant and meaningful

        §   what additional information can assist with data-driven decisions

-   Utilize current in-house analytics/data science resources to deliver insights from data 

-   Understand systems that generate this data and how to leverage to solve customer issues

-   Regularly engage with syndicated partners to understand need for insights and pain points  

-   Document and drive initiatives to achieve insights for syndicated partners

Required Qualifications :


-   Hands-on knowledge of SQL and some programming/scripting knowledge, ideally with Scala, Java, Python, etc.

-   Ability to work with data scientists & engineers to solve customer technical problems

-   Knowledge of public cloud environments such as AWS/AZURE etc.

-   Passionate about solving / driving solutions through data insights

-   Bachelor's degree or equivalent education/experience

-   Master’s degree preferred (Economics, Data Science, Marketing)

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