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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As the Senior Data Intelligence Manager, you’ll establish and lead our on-site Data Intelligence team focused on the end-to-end Machine Learning data lifecycle. You will oversee three critical pillars: Data Curation & Labelling, MLOps Infrastructure, and Data Program Management. Your mission is to build a world-class "Data Factory" that ensures our ML models are fueled by high-quality, secure, and easily accessible data.
This is a hands-on and high-profile role, managing a multidisciplinary group of data/ML engineers, scientists, and in-house contractors while also managing the data supply chain for our AI products.
Key Responsibilities:
- Strategic Leadership: Define the roadmap for the company’s Machine Learning data strategy, including build-vs-buy decisions for labelling tools and MLOps infrastructure.
- Cross-Functional Management: Lead and mentor a multidisciplinary team consisting of ML Automation Engineers, MLOps Engineers, and Data Project Managers.
- Data Governance & Ethics: Establish company-wide standards for data privacy (GDPR/CCPA), data security, and bias mitigation in training sets.
- Operational Excellence: Define and track KPIs for the entire pipeline, such as Time-to-Label, Model Deployment Velocity, and Cost-per-Ground-Truth. Oversee end-to-end data operations for Machine Learning, Computer Vision, and AI development.
- Collaboration: Partner with product, engineering, robotics, and external collaborators to scope, collect, curate, and deliver high-quality, fit-for-purpose data.
- Team Development: Build a culture of quality, innovation, and accountability, supporting your team’s development and the company’s ambition.
About You:
- Proven track record as a people leader with 10+ years in Data Management, Engineering, or AI Operations, with at least 5+ years in a people management role.
- Excellent communicator and collaborator, able to guide engineers, influence product managers, and engage with senior leadership.
- Deep understanding of the Machine Learning lifecycle and experience in strategic decision-making regarding data management.
- Strong knowledge of data privacy and security compliance (GDPR/CCPA) and best practices.
- Bachelor's or Master's degree in computer science, Data Engineering, Artificial Intelligence, or a related field. Higher degrees, research credentials, or industry-recognized certifications in Data Management or MLOps are a strong plus.
Work Conditions:
- Full-time position based on-site in Dubai, UAE
- A commitment to diversity and inclusion in the workplace
The company is an equal opportunity employer, welcoming applications from all backgrounds.
