Description

You will manage complex, data-driven projects by bridging the gap between technical execution and business impact.

Responsibilities

• Lead and manage data-driven projects across multiple teams and stakeholders.
• Analyze data semantics, including how transformations affect metrics and business decisions.
• Communicate technical requirements and project progress to both engineering and non-technical partners.
• Navigate ambiguous project definitions and shifting priorities across different domains.
• Collaborate with engineering, analytics, and business teams to deliver data solutions.

Required Skills

• 12+ years of experience in project management with a focus on data-related domains.
• Hands-on experience with Big Data technologies including Spark, Hive, and Hadoop.
• Proficiency in writing SQL.
• Deep understanding of data pipelines, ETL processes, and data quality management.
• Ability to interpret how data transformations drive analytical outcomes.
• Strong written and verbal communication skills.
• Experience working in a macOS environment.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience within large-scale enterprise or tech environments.
• Familiarity with modern data warehousing and distributed processing systems.
• Proven track record coordinating between data engineering, analytics, and business functions.

Key Skills

Education

Any Gradute