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Data Product Manager

New York
Negotiable
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Data Product Manager

New York, NY

$130,000 - $150,000

Looking for a creative work environment? We have a content creation and publishing platform who are working on cutting edge technology and entertainment to build out a brand new medium.

THE COMPANY

As a Data Product Manager, you will be joining an explosive content creation company looking to build out their own platforms and medium. They are at the center of innovation with their technology and products to create a unique platform experience for creators.

DATA PRODUCT MANAGER - ROLE OVERVIEW

As the Data Product Manager, you will be responsible for the development of the company's product strategy. Your success in this role will come from owning the data product roadmap and representing data in said roadmap planning. In doing so, you will manage the full life cycle for new data features and products.

YOUR SKILLS AND EXPERIENCE

The successful Data Product Manager will have the following skills and experience:

  • Experience in end-to-end product launches, developing product specs, and writing user stories
  • Experience in content creation platforms, eCommerce, and analytics required
  • Ability to prioritize tasks and cross-functional management
  • Great communication skills with the ability to manage stakeholder expectations and communications

SALARY AND BENEFITS

The successful Data Product Manager can expect a salary of $130,000 - $150,000 dependent on experience, in addition to a comprehensive benefits package

HOW TO APPLY

Please register your interest by sending your resume to Vallon Barnes via the Apply link on this page.

KEYWORDS

Tableau, SQL, R, Python, Statistics, Power BI, Google Data Studio, Modeling, Regression, Search, SEM, PPC, Location, Google analytics, Mobile, web analytics, Hitwise, Insight, Maxymiser, Sitecatalyst, Omniture, Conversion Optimisation, agency, client, digital analytics, web analyst, digital analyst, digital marketing analyst, eCommerce, senior web analyst, lead web analyst, reporting, analytics, Data Science.

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