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)
