Description

You manage cross-functional technical and data-related projects, coordinating between product engineering, data engineering, and data science teams.

Responsibilities

• Develop and manage project plans, timelines, and milestones for data and ML initiatives.
• Coordinate across product engineering, data engineering, and external partners to ensure successful execution.
• Validate data readiness, ensuring telemetry and datasets are complete, documented, and suitable for ML models.
• Perform basic analysis using SQL or dashboards to validate data quality and investigate model anomalies.
• Manage stakeholder communications, escalate risks, and establish workflows for cross-team data dependencies.

Required Skills

• 6+ years of experience managing cross-functional technical or data-related projects.
• Proficiency in SQL and Python for basic data analysis, dataset validation, and anomaly investigation.
• Experience using project management tools like JIRA to track timelines and tasks.
• Strong understanding of data pipelines, analytics workflows, and machine learning project lifecycles.
• Proven ability to coordinate with data engineering and analytics teams.
• Strong stakeholder management and communication skills for technical and business partners.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree