Sr Product Manager, Data Product

at  Mondelz International

East Hanover, New Jersey, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Jul, 2024Not Specified01 May, 202410 year(s) or aboveData Integrity,Data Collection,Key Performance Indicators,Privacy Regulations,Color,Engineers,Crackers,Security,Analytics,Confidentiality,Data Governance,Data Products,Jira,User Acceptance Testing,Storage,Cookies,New Features,Consideration,ManufacturingNoNo
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Description:

Job Description

JOB REQUIREMENTS

  • Develop and maintain a comprehensive product roadmapfor all data products in Commercial and Planning scope, ensuring alignment with overall business objectives and incorporating feedback from various stakeholders.
  • Work closely with business users, data scientists, and engineers to understand data-related requirements and translate them into actionable data product features.
  • Analyze data sets to identify insights, trends, and opportunities that can be leveraged to enhance the data product offering. While overseeing data collection, storage, and quality assurance processes to ensure data accuracy, reliability, and security.
  • Define and monitor key performance indicators (KPIs) to assess the success of data products via FAIR, DQI, and other frameworks,and drive continuous improvement efforts.
  • Partner with the data governance team (and data steward) to ensure compliance with data privacy regulations and maintain data integrity, security, and confidentiality.
  • Excellent problem-solving and analytical thinking abilities with excellent attention to detail.
  • Collaborate with data owners to ensure reliable, accessible, high-fidelity information within our tools, driving requirements through a focus on business needs.
  • Sign off the final user acceptance testing of new features and functions and manage communication of product releases to external and internal stakeholders.

GOOD TO HAVE SKILLS AND EXPERIENCES

  • Understanding industry-specific external data sources used to measure and track performance (e.g., Nielsen).
  • Understanding of the consumer goods industry or similar industries.
  • Experience with data governance, privacy regulations, and best practices is a plus.
  • Big data experience leveraging Spark or Hadoop technologies within a cloud infrastructure (Google Cloud – Big Query, etc.).
  • Experience working with Jira or ADOis a plus.
    No Relocation support available
    Business Unit Summary
    The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour PatchKids confectionery products —are close at hand for our consumers across the country.
    Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
    Job Type
    Regular
    Analytics & Modelling
    Analytics & Data Science
    Job Details

Responsibilities:

Our team is at the forefront of driving AI, data, and analytics across US Sales & Planning. As a Product Owner leading our two most important Data Products (Customer360º and Outlet 360º), you will oversee the team as they work towards the following objectives:

  • Design and Implement high-quality Data Products in the Commercial and Planning domains, driving the philosophy of ease of use, reusability, scalability, high quality and operational efficiency.
  • Democratize access to a highly curated and good quality Data product, scaling data usage across customer teams, RGM teams, and senior executives.
  • Enable the AI native transformation for the Sales & Planning function through two highly maintained Data products, Customer 360º and Outlet 360º.


REQUIREMENT SUMMARY

Min:10.0Max:15.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

East Hanover, NJ, USA