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Sr. Data Product Manager

3 months ago


Phoenix, United States Prosum Full time

Position Title: Sr. Data Product Manager

Location: Hybrid role, in Phoenix, AZ, San Francisco, CA, OR New York, NY

Term: Full-time/Direct Hire

Compensation: Negotiable Salary, plus Excellent Benefits


Responsibilities:

  • Diligently participate in compliance program-related activities as denoted by the supervisor or our Chief Compliance Officer
  • Oversees related activities outsourced to service providers other external data sources
  • Able to cultivate effective and productive working relationships with colleagues, vendors and management
  • Review and update documents
  • Responsible for the timely and accurate processing of syndicated and non-syndicated data from receipt to distribution of end product.
  • Manage all business rules and gain consensus for update/changes in central business rule environment
  • Establishes metrics to measure the total quality of all data process (Data Governance Standards)
  • Apply relevant analytical techniques to datasets to produce summary statistics and actionable insights
  • Manage and develop policies related to Data Processing, including assessing and monitoring the processing of end-to-end activities of Data Processing environment
  • Manage projects through well throughout planning, resource allocation, tracking, communication, and issue resolution


Qualifications:

  • 7+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products
  • 4+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users
  • 5+ years' experience with Relational Database Systems, or with SQL
  • Working knowledge of infrastructure analytics and predictive modelling
  • Minimum of 4 years of relevant experience developing algorithms and predictive models to solve business problem (segmentation, user engagement, web analytics, campaign attribution, funnel, and ROI), ideally within B2B environments
  • Expert knowledge in statistical analysis software such as R and SPSS, working knowledge of a scripting language such as Python/Perl/Ruby a plus
  • Bachelor’s degree in a related scientific field