Lead Data Intelligence Project Manager from Consumer Electronics OR Smart Home Products Industry

Cygnify; Dubai; On-site; AED 240,000 - 360,000; Full time

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

As the Lead Data Intelligence Project Manager, you ensure that every project has the resources it needs to take off, you'll orchestrate data operations that power product development across company’s global teams.

Key responsibilities include:

• Act as the primary liaison between our external project teams and our internal technical departments (Data Curation and MLOps). You will own the \"data logistics\" for the entire project lifecycle—from initial storage setup to final delivery of high-quality training sets.
• You will be the strategic lead for our labelling workforce, managing the balance between our in-house contractors and 3rd party service providers to ensure we never hit a capacity bottleneck.
• Overseeing data storage setup and maintenance to guarantee security, accessibility, and compliance.
• Maintaining rigorous documentation and workflows that ensure project transparency and repeatability.
• Supporting cross-functional communication between data teams, contractors, and engineering partners.

About you

• 8+ years in Project or Program Management, with at least 2 years specifically in AI/ML Data Operations or Data Management. You’ve delivered complex projects on time and within scope—often in fast-changing settings.
• Demonstrated success in managing 3rd party vendors or service providers, including contract negotiation, quality assurance, issue resolution, and ongoing relationship management.
• Tooling Familiarity: Experience with labeling platforms (Labelbox, CVAT, Label Studio) and project management tools (Jira, Asana, or Airtable).
• Data Literacy: Basic understanding of data storage architectures (S3, SQL, Snowflake) and data privacy regulations (GDPR, CCPA).
• Communication: Exceptional \"translation\" skills—the ability to explain technical MLOps constraints to business stakeholders and vice versa.
• A solid understanding of modern data storage solutions (cloud, on-premises, hybrid), including principles of data security, privacy, access control, and regulatory compliance.
• Able to translate complex technical requirements into clear actions for both technical and non-technical audiences. You’re adept at influencing and building consensus.
• Confident interfacing with cross-functional teams—coordinating with data scientists, engineers, product managers, and external stakeholders to deliver smooth handovers and alignment.
• Well-versed in project management tools and methodologies (e.g., Agile, Scrum, or Waterfall). Known for driving continuous improvement, clear documentation, and repeatable processes.
• Thorough, highly organized, and relentless in troubleshooting issues and removing blockers before they impact delivery.
• Proactive, accountable, and comfortable juggling competing priorities. You always keep end goals in focus and balance urgency with quality.
• Bachelor’s degree in a relevant discipline (e.g., Computer Science, Data Engineering, Engineering, or Information Technology); higher degree or PMP/Prince2 certification is a plus.