Project Manager - Data Analytics
FreedomPay
Operations, Data Science
Philadelphia, PA, USA
Posted on Apr 1, 2025
Objectives
- Lead team scrums to define product vision, roadmap, and growth opportunities, and communicate with stakeholders throughout the project
- Collaborate with internal and external contacts to analyze needs and align product roadmap to strategic goals
- Work closely with product managers and business teams to create and maintain product backlog according to business value or ROI
- Remain up to date on trends and best practices for agile project management
- Work closely with all engineers to maintain and properly document all processes and functions of the analytics teams
Responsibilities
- Plan and prioritize product development and product feature backlog
- Develop detailed product feature specifications and ensure they’re clearly understood by relevant teams
- Defining the vision for the team’s product and maintaining a cohesive vision throughout the process
- Serve as the lead in team documentation for new and updated processes and features to the analytics teams
- Managing the product backlog and prioritizing the tasks based on changing requirements
- Assess value, develop cases, and prioritize stories, epics, and themes to ensure work aligns with product strategy
- Mitigate roadblocks to achieving sprint/release goals
- Lead the product-release plans and set expectations for delivery of new functionalities
- Serve as product ambassador internally and externally, sharing knowledge and answering questions
Required Skills and Qualifications
- Five or more years of experience in product development
- In-depth knowledge of agile methodology for project management
- Understanding of business value related to features and functions
- Outstanding communication, presentation, and leadership skills
- Sharp analytical and problem-solving skills
- Ability to effectively manage conflicting needs of stakeholders
Preferred Skills and Qualifications
- Bachelor’s degree (or equivalent) in related discipline
- Experience working with data warehouse/analytics teams
- Proficiency with applicable project management tools (Monday.com/Lucid Charts/Azure Dev Ops/Confluence) and technology (SQL Server/SnowFlake teams)