About the Job:
At the company, we’re driven by a relentless pursuit of innovation—pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping the company's future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices. You’ll work alongside brilliant minds from the company's global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery, and impact.
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About The Role:
As the Lead Data Intelligence Project Manager, you will ensure that every project has the resources it needs to take off, orchestrating data operations that power product development across the company's global teams. Key responsibilities include:
- Acting as the primary liaison between our external project teams and our internal technical departments (Data Curation and MLOps).
- Owning the "data logistics" for the entire project lifecycle—from initial storage setup to final delivery of high-quality training sets.
- Serving as the strategic lead for our labeling workforce, balancing in-house contractors and 3rd party service providers to prevent capacity bottlenecks.
- Overseeing data storage setup and maintenance to guarantee security, accessibility, and compliance.
- Maintaining rigorous documentation and workflows to 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.
- Demonstrated success in managing 3rd party vendors or service providers, including contract negotiation, quality assurance, issue resolution, and ongoing relationship management.
- Strong understanding of the Machine Learning Lifecycle: knowledge of data flow from collection to deployment.
- Familiarity with labeling platforms (Labelbox, CVAT, Label Studio) and project management tools (Jira, Asana, or Airtable).
- Basic understanding of data storage architectures (S3, SQL, Snowflake) and data privacy regulations (GDPR, CCPA).
- Exceptional communication skills, able to explain technical MLOps constraints to business stakeholders and vice versa.
- Proficiency in project management tools and methodologies (e.g., Agile, Scrum, or Waterfall).
- 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.
Work Conditions:
On-site, Full-time
Language Requirements:
None specified.
The company is an equal opportunity employer. We welcome applications from all backgrounds, and employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other dimension of diversity.
