Project Manager, Data Operations

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Requirements:

• At least 3+ years of project management experience, preferably with a background in Mar-tech, Ad-tech, or a client-facing SaaS platform
• Experience managing projects within Data Operations, including coordinating work across data platform, analytics engineering, and database administration teams is a plus
• An understanding of data flows and the basic purpose of technologies such as APIs, SQL, and ETL pipelines
• Basic proficiency in data analysis, including interpreting datasets, generating insights, and creating data-driven reports using SQL and BI tools.
• A proven understanding of Scrum, Kanban and other agile development frameworks
• Advanced understanding of capacity planning, resource allocation, risk management
• The ability to work collaboratively and cross-functionally with a large number of teams on a daily basis
• Self-sufficient and technically savvy. You are able to operate independently, navigate technical discussions, and communicate clearly across both technical and non-technical teams
• Excellent communication and presentation skills. You can inform, educate, influence, and persuade at various levels of the organization, both in written and verbal form
• Detail-oriented with strong analytical and problem-solving skills. The ability to obsess over every single part of a process at scale, especially when working across complex or scaled processes
• Experience with Atlassian Products (Jira, Confluence, ServiceDesk) is required
• Certified Scrum Master and/or Certified Scrum Product Owner certification is a plus

Responsibilities:

• Own, track, and manage your teams’ incoming work and SLAs to ensure on-time delivery
• Drive execution of cross-functional operational data initiatives, ensuring timely delivery and clear communication of goals and outcomes
• Identify, track, and remove blockers and dependencies
• Document processes for internal and cross-team consumption
• Facilitate agile events, including but not limited to: stand ups, parking lots, backlog refinements, and/or retrospectives
• Support incident response coordination, including triage and communication
• Track, analyze, and storytell metrics, at the team-level, to help deliver consistent velocity value
• Support internal and external maintenance windows, system updates, and platform migrations
• Partner with Engineering Managers and Technical Leads to align team capacity with strategic and tactical goals
• Identify and implement opportunities for process improvement and automation