Project Coordinator IV

New
I
itDTechnical product operations
Remote – United States. Hybrid options are available in NYC, Menlo Park, DC, and Seattle.ContractSenior
Salary not disclosed
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Job Details

Experience
8+ years of relevant experience
Required Skills
SQLTableauGoogle SheetsGoogle WorkspaceLooker

Requirements

  • 8+ years of relevant experience in consulting, strategy, operations, technical product operations, or program management.
  • Advanced SQL proficiency, including CTEs, window functions, joins, aggregations, and data transformations.
  • Experience using AI agents and AI-assisted workflows to accelerate analysis, automate tasks, or improve productivity.
  • Expert-level Google Workspace proficiency, particularly Google Sheets, including complex formulas, pivot tables, detailed documentation, and automated workflows.
  • Ability to independently manage multiple concurrent workstreams and drive projects forward with minimal supervision.
  • Strong critical-thinking and analytical skills, including using data to anticipate, diagnose, and resolve problems.
  • Strong organizational, time-management, and prioritization skills.
  • Ability to quickly learn new tools, technologies, and technical domains and adapt to changing requirements.
  • Bachelor’s degree in a relevant field or equivalent work experience required.
  • Preferred: experience supporting product operations, especially within a large technology organization.
  • Preferred: experience with AI-assisted development, low-code/no-code prototyping, or AI-assisted code generation.
  • Preferred: experience with VS Code or similar development environments, and dashboard tools such as Tableau or Looker.

Responsibilities

  • Drive program execution across multiple products and platforms, including launching 0-to-1 initiatives and accelerating delivery.
  • Analyze product data using advanced SQL queries, including CTEs, window functions, joins, aggregations, and data transformations.
  • Build and maintain dashboards, reports, and data visualizations.
  • Use AI agents and AI-assisted tools to accelerate analysis, automate repetitive workflows, and prototype technical solutions.
  • Identify program risks and develop data-backed mitigation plans.
  • Coordinate with product, engineering, legal, and cross-functional stakeholders to resolve dependencies and drive execution.
  • Develop structured documentation, analytical solutions, and operational processes to improve program efficiency, quality, and scalability.
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