Job Title: Sr. Associate Data Product Manager
Location: NY (Hybrid)/ USA (Remote)
Roles and Responsibilities:
The Sr. Associate Data Product Manager role will support the execution, day-to-day management, and continuous improvement of a web-based data application. This role will report into the Sr. Lead, Data Product Owner, to gather and translate business requirements, coordinate product initiatives, and help ensure the application is delivered with quality and aligned to business needs. The ideal candidate is highly organized, proactive, and eager to grow in a collaborative and fast-paced environment.
Primary Responsibilities
Product Planning & Requirements
Support Sr. Lead, Data Product Owner in planning and executing the product roadmap
Translate business and user needs into Product Requirements Documents, creating clear and actionable user stories and technical requirements for design and development teams
Develop a deep understanding of the application functionality and user workflows to identify opportunities for product enhancements and process improvements
Maintain, prioritize, and refine the product backlog in collaboration with the PM
Collaborate with data scientist to identify interesting user behavior trends or gaps that could indicate product opportunities/shortcomings.
Project Delivery
Track project timelines, sprint schedules, milestones, dependencies, and risks to support successful delivery. Communicate project status to internal and external stakeholders
Develop and maintain detailed product documentation, project plans, decisions logs, etc.
Identify opportunities to improve project workflows and documentation standards
Application Support
Support the day-to-day administration of the application, including content management, user support, and ongoing maintenance activities to ensure a high-quality user experience
Perform quality assurance testing across user roles to validate new features
Coordinate with technical teams to investigate, triage, and resolve user issues
Build aligned strategy to maximize user understanding of the product and support successful engagement, including user guides, training videos, and user communications
Stakeholder & User Engagement
Develop a strong understanding of the workflows and needs of diverse user groups to ensure product enhancements effectively address business needs
Gather, organize, and synthesize user feedback to help inform future product enhancements and backlog prioritization.
Build trusted relationships with internal stakeholders, vendors, and end users to understand evolving business needs and improve the overall user experience
Support Sr Lead, Data Product Owner in building content for stakeholder engagement or user-facing presentations.
Required Qualifications :
Work Experience
2-5 years of experience in Product Management or a related field
Experience working with technical products, software applications, or data products
Experience gathering business requirements and translating them into technical requirements
Proficiency with product management tools such as Jira, Confluence, and Asana
Communication & Collaboration
Excellent written and verbal communication skills
Ability to communicate effectively with across technical and non-technical audiences
Ability to synthesize complex information into clear, actionable communication
Strong interpersonal skills with the ability to build collaborative cross-functional relationships
Organization & Execution
Exceptional organizational skills and attention to detail
Ability to manage multiple priorities effectively in a fast-paced environment
Adaptable and comfortable shifting priorities in a dynamic environment
Problem Solving & Initiative
Self-starter with a proactive, solutions-oriented mindset
Strong problem-solving skills with the ability to identify opportunities for process improvement
Demonstrated curiosity and a desire to learn new technologies, products, or business domains
Preferred Qualifications :
Experience supporting web-based or mobile software applications
Experience with data analytics or product performance KPIs
Experience implementing AI-enabled features or workflow enhancements
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