Description

You will manage complex, multi-track projects involving AI/ML workflows and data architecture.

Responsibilities

• Manage the end-to-end model lifecycle and experimentation frameworks.
• Coordinate technical and non-technical requirements across globally distributed teams.
• Build executive-level dashboards and summaries to track project progress.
• Oversee data pipelines and analytics platforms to ensure architectural alignment.
• Utilize project tracking tools to maintain visibility across multiple workstreams.

Required Skills

• 5+ years of experience in technical project management.
• Deep understanding of data pipelines and data architecture.
• Hands-on experience with Snowflake and Tableau.
• Proficiency with AI/ML workflows and model lifecycles.
• Expertise in Jira and Confluence for project tracking.
• Experience working with cross-functional, global teams.
• Bachelor’s degree in Business, Information Technology, or a related field.

Preferred Skills

• Agile, Scrum, or SAFe certifications.
• Exposure to AWS, GCP, or Azure cloud platforms.
• Familiarity with modern DevOps practices.

Key Skills

Education

Any Graduate