Robert Half - Minneapolis, MN

posted 3 months ago

Full-time - Mid Level
Minneapolis, MN
Administrative and Support Services

About the position

We are seeking an IT Product Manager II to join our team located in Minneapolis, MN. This role is situated within the digital shopping industry, with a primary focus on enhancing the online experience through personalized product recommendations. The IT Product Manager II will be responsible for developing a comprehensive product roadmap for recommendation services and data augmentation, ensuring alignment with business objectives and customer requirements. This position offers a long-term contract employment opportunity, allowing for significant contributions to the product lifecycle management in close partnership with the engineering team. In this role, the IT Product Manager II will collaborate with various teams to refine the product roadmap, ensuring the seamless integration and delivery of recommendation services. The individual will prioritize product features and enhancements based on user feedback, data analysis, and market trends. A key responsibility will be to drive the improvement of datasets and machine learning models to enhance recommendation accuracy, utilizing data-driven insights to understand user behavior and preferences. This understanding will be crucial in optimizing recommendation services to deliver personalized and relevant recommendations to users. The IT Product Manager II will also work closely with data scientists and analysts to optimize recommendation algorithms, focusing on enhancing the user experience. Conducting A/B testing and user research will be essential to optimize recommendation data, while monitoring and analyzing performance metrics will help continuously refine and optimize recommendation algorithms. Building and maintaining relationships with internal teams will be vital, positioning recommendations as their source of truth for product recommendations and focusing on growing internal usage quarter-over-quarter.

Responsibilities

  • Develop a comprehensive product roadmap for recommendation services and data augmentation, aligning with business objectives and customer requirements.
  • Collaborate with various teams to refine the product roadmap, ensuring the seamless integration and delivery of recommendation services.
  • Lead product lifecycle management in close partnership with the engineering team.
  • Prioritize product features and enhancements based on user feedback, data analysis, and market trends.
  • Drive the improvement of datasets and machine learning models to enhance recommendation accuracy.
  • Utilize data-driven insights to understand user behavior and preferences and use these insights to optimize recommendation services.
  • Collaborate with data scientists and analysts to optimize recommendation algorithms, focusing on enhancing the user experience by delivering personalized and relevant recommendations.
  • Conduct A/B testing and user research to optimize recommendation data.
  • Monitor and analyze performance metrics to continuously refine and optimize recommendation algorithms.
  • Build and maintain relationships with internal teams, positioning recommendations as their source of truth for product recommendations with a focus on growing internal usage quarter-over-quarter.

Requirements

  • Machine Learning Experience
  • Proficient in Microsoft Excel
  • Experience in research and data analysis
  • Proven ability in maintaining and improving quality standards
  • Strong background in project management
  • Ability to deliver effective presentations
  • Experience in workstation support
  • Proven ability to implement strategies
  • Strong leadership skills
  • Familiarity with hiring processes
  • Knowledge in digital technologies and engineering
  • Experience in optimization processes
  • Understanding of Agile Scrum methodology
  • Experience in dealing with stakeholders
  • Proficient in Python and Java
  • Familiarity with cloud technologies
  • Ability to work collaboratively in a team
  • Experience in KPI Reporting
  • Knowledge of Agile methodologies
  • Strong prioritization skills
  • Proficiency in relevant IT tools and softwares
  • Understanding of IT principles and best practices.

Benefits

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Disability insurance
  • 401(k) plan
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service