Project Manager - Data Analytics

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)