Data Product Manager

Kforce has a client in Ramsey, NJ that is seeking a Data Product Manager. Responsibilities:

• Define and communicate the vision, strategy, and roadmap for data products
• Align product goals with business objectives and stakeholder needs
• Collaborate with business users and stakeholders to identify and understand business needs and the problem to be solved, keeping an open-mind about the solution
• Partner with designers and research teams to conduct user research and usability studies
• Collaborate with engineers, architects, and analysts in order to build scalable data products
• Prioritize features and functionality and manage the product backlog using agile methodologies
• Oversee requirements discovery, solution design, user story writing, feature development, and user acceptance testing within the confines of the Data Platform
• Coordinate across technology teams to ensure dependencies are properly identified and managed
• Provide visibility and updates to stakeholders about initiative progress, dependencies, and risks
• Determine Key Performance Indicators (KPIs) to measure progress toward achieving business objectives
• Partner regularly with cross-functional teams to ensure alignment on feature development and prioritization
• Monitor and evaluate Data Product usage and gather feedback to facilitate continuous iteration and improvements
• Ensure data products adhere to governance, privacy, and compliance standards
• Define success metrics and use data to measure product performance
• Identify opportunities for new data products or enhancements based on user behavior, business needs, and/or market trends

Requirements:

• Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or related fields
• 5+ years of professional experience in product
• Strong understanding of data architecture, data modeling, and data governance
• Experience with tools/technologies like SQL, Python, Looker, Power BI, or similar
• Familiarity with cloud platforms (preferably GCP) and data pipelines
• Strong analytical, critical-thinking, and organizational skills
• Ability to lead and influence a broad team of resources
• Ability to drive change management
• Excellent communication, collaboration, and problem-solving skills
• Ability to negotiate and prioritize