Lead Data Ops Project Manager - AI/ML Delivery

Cygnify

Dubai

On-site

AED 240,000 - 360,000

Full time

12 days ago

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Job summary

Cygnify seeks a Lead Data Intelligence Project Manager to ensure resources for data-driven product development across our global teams. You will orchestrate data operations, from initial storage setup to delivering high-quality training sets.

You will lead the labelling workforce, balance in-house contractors with third-party providers, and oversee data storage, security, and governance. Strong communication will translate technical MLOps constraints to business stakeholders and drive

Qualifications

  • 8+ years in Project/Program Management, with AI/ML Data Operations or Data Management exposure.
  • Experience in managing 3rd party vendors or providers, including contract negotiation and SLA tracking.
  • Proficiency with labeling platforms (Labelbox, CVAT, Label Studio) and PM tools (Jira, Asana, Airtable).
  • Understanding of data storage architectures (S3, SQL, Snowflake) and data privacy basics.

Responsibilities

  • Act as the primary liaison between external project teams and internal technical departments (Data Curation and MLOps).
  • Own the data logistics for the full project lifecycle—from storage setup to delivery of training sets.
  • Lead labeling workforce management, balancing in-house contractors with 3rd party providers.

Skills

Project Management
AI/ML Data Ops
Vendor Management
Data Storage
Communication
Agile Methodologies

Education

Bachelor's degree

Tools

Labelbox
CVAT
Label Studio
Jira
Asana
Airtable

Job description

Cygnify seeks a Lead Data Intelligence Project Manager to ensure resources for data-driven product development across our global teams. You will orchestrate data operations, from initial storage setup to delivering high-quality training sets.

You will lead the labelling workforce, balance in-house contractors with third-party providers, and oversee data storage, security, and governance. Strong communication will translate technical MLOps constraints to business stakeholders and drive

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