Technical Project Manager with Data Analytics

We are seeking a highly capable Project Manager with deep experience in data and analytics and a solid understanding of big data technologies. 

This role requires someone who is not only proficient in leading complex projects, but who also understands the semantics and impact of data—not just how it moves, but what it means, how it's transformed, and how those changes affect analytics and business decisions.

Key Responsibilities:

Lead and manage complex, data-driven projects across multiple teams and stakeholders.

Communicate effectively with both technical and non-technical partners, ensuring clear requirements, alignment, and progress tracking.

Understand and analyze the meaning of data within datasets: how it's transformed, how it drives metrics, and what breaks when it changes.

Handle fast-paced, ambiguously defined projects with shifting priorities and multiple customers.

Switch seamlessly between projects and domains as needed, maintaining ownership and momentum.

Collaborate with engineering, analytics, and business teams to deliver reliable, impactful solutions.

Required Skills & Experience:

Strong project management skills with a track record of successful delivery in data-related domains.

Exceptional written and verbal communication abilities.

Hands-on experience working with data teams and understanding the business context and analytical impact of data.

Strong understanding and experience with big data technologies( Spark, Hive, Hadoop) and SQL written experience, including:

Experience with data pipelines, ETL processes, and data quality management.

Comfortable using macOS and a Mac laptop as a primary work environment.

Preferred Qualifications:
Prior experience working at or with large scale enterprise or within a similar large-scale tech environment.
Familiarity with modern data warehousing and distributed processing systems.
Experience coordinating between data engineering, analytics, and business functions