Data & Analytics Project Manager

Responsibilities

• Coordinate delivery of data and analytics workstreams, including data pipeline development, reporting, and dashboarding efforts, ensuring alignment with project timelines and priorities.
• Serve as a key external-facing representative for a project team. Project Managers are responsible for leading conversations around project planning, roadmapping and ensuring adherence to standard project management practices.
• Facilitate requirements gathering and refinement for data use cases, including reporting needs, data integrations, and analytics workflows, in collaboration with clients and internal technical teams.
• Manage sprint planning and execution for data-focused work, working closely with Data Engineers and a Project Director to ensure clear prioritization, sequencing, and delivery of tasks.
• Support cross-project consistency in data platform usage, helping teams align on approaches to data modeling, reporting structures, and integration patterns where appropriate.
• Track and manage dependencies across data systems and external integrations, ensuring risks are identified early and communicated clearly to stakeholders.
• Use AI-assisted tools thoughtfully to improve efficiency in requirements synthesis, project documentation, risk tracking, and stakeholder communications, while ensuring accuracy and alignment with project standards.

Skillset

• 5+ years of experience managing software or technical projects, including coordination across cross-functional teams.
• Demonstrated ability to manage delivery of complex technical workstreams, including coordinating timelines, dependencies, and stakeholders across multiple teams.
• Experience gathering and translating requirements from diverse stakeholders into clear, actionable plans for technical teams.
• Experience running agile delivery processes, including sprint planning, backlog management, and cross-team coordination.
• Strong organizational and project management skills, with the ability to manage multiple concurrent workstreams, dependencies, and timelines.
• Comfort working with technical concepts and systems, with the ability to engage effectively with engineers and understand system constraints, integrations, and data flows.
• Demonstrated ability to operate in ambiguous environments, prioritize effectively, and make tradeoffs across competing priorities.
• Excellent written and verbal communication skills, including the ability to synthesize complex information for different audiences.
• Strong analytical and problem-solving mindset, with comfort investigating issues, identifying root causes, and driving resolution.
• Comfort using AI-assisted tools to support project management tasks such as documentation, requirements synthesis, risk analysis, and onboarding to new systems or domains.
• Self-motivated, detail-oriented, and able to operate independently while coordinating across teams.