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Platform Product Manager

Posted about 1 month agoViewed

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💎 Seniority level: Manager, 7+ years

📍 Location: United States

🔍 Industry: Food Company

🏢 Company: Fruitist

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSSQLAgileData AnalysisMachine LearningProduct ManagementSCRUMCross-functional Team LeadershipProduct AnalyticsData engineeringData scienceSparkCommunication SkillsAnalytical SkillsRESTful APIsData visualizationStakeholder managementData modelingChange Management

Requirements:
  • 7+ years of relevant experience in roles like data science, data engineering, consulting, or product ownership.
  • Hands-on experience in a data science or data engineering role is a plus
  • Proven track record in managing data products and teams, with strong technical leadership skills and deep understanding of data analytics systems and capabilities, driving data-driven decision-making
  • Deep understanding of data analytics systems and capabilities, driving data-driven decision-making
  • Understanding of data science techniques, including Forecasting, Recommendation Systems, Optimization, Segmentation Analysis
  • Experience with modern data engineering technologies, such as Databricks, PySpark/Spark, and AWS
  • Skilled in facilitating agile ceremonies and managing Scrum delivery practices, managing backlogs and release plans, and tracking team metrics
  • Exceptional communicator, capable of translating complex technical concepts into clear, compelling messages and thrives under pressure, delivering results in dynamic, deadline-driven settings
Responsibilities:
  • Transform business needs into technical solutions, bridging the gap between strategy and execution – converting business problems into data products and solutions
  • Champion the development team, clearing roadblocks, flagging issues, and driving momentum forward for engineering and data scientists
  • Lead the design and implementation of data and analytics projects, ensuring smooth technical development and delivery through partnership with Senior Data Scientists
  • Safeguard the integrity of data and analytics models, by incorporating rigorous testing and validation practices for teams for reliable insights.
  • Promote cutting-edge technologies, offering innovative ideas to enhance Agrovision’s technical capabilities
  • Own the end-user experience, prioritizing analytics solutions and maintaining a clear, strategic use case backlog
  • Collaborate across functions, translating complex challenges into precise technical requirements
  • Drive solutions from concept to deployment, focusing on user-centered design, change management, and impact measurement
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