Senior Data Intelligence Manager

Dyson; Dubai; On-site; AED 250,000 - 360,000; Full time

Job summary

Dyson in Dubai seeks a Senior Data Intelligence Manager to establish and lead the on-site Data Intelligence team, driving end-to-end ML data lifecycles from curation to deployment. You will oversee governance, ethics, and a multidisciplinary team including ML engineers, data scientists, and contractors, delivering high-quality data for AI products.

You will define the roadmap for the ML data strategy, mentor leaders, manage data supply chains, and collaborate with product, robotics, and external

Qualifications

• Proven track record leading data/ML teams.
• Experience scaling ML orgs to enterprise level.
• Ability architect high-level data flows across stages of ML lifecycle.
• Strong data privacy and security focus (GDPR/CCPA).
• Experience managing in-house contractors and external partners.

Responsibilities

• Define the ML data strategy roadmap and governance.
• Lead and mentor a multidisciplinary team of ML/DS engineers and PMs.
• Oversee end-to-end data operations for ML/Computer Vision/AI projects.
• Partner with product engineering robotics and external collaborators.
• Manage data supply chain and contractor resources to align with Dyson objectives.
• Drive a culture of quality, accountability and continuous improvement.

Skills

People leadership

Data management

ML Ops

Cross-functional collaboration

Data governance

Strategic planning

Education

Bachelor's or Master's in CS/AI/Data Engineering

Tools

CI/CD tooling

Data labeling tools

Job description

About us

At Dyson were driven by a relentless pursuit of innovationpushing boundaries in engineering AI and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dysons 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.

Youll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration discovery delivery and impact.

About the role

As the Senior Data Intelligence Manager youll establish and lead our Data Intelligence team on-site for 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 is a hands-on and high-profile role who is not just managing a multidisciplinary group of data/ML engineers scientists and in-house contractors but also managing the data supply chain for our AI products.

Your core mission:

• Strategic Leadership: Define the roadmap for the companys 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.


• Partner with product engineering robotics and external collaborators to scope collect curate and deliver high-quality fit-for-purpose data.


• Own the management of in-house contractor resourcesdriving clarity ensuring productivity and alignment to Dysons objectives.


• Build a culture of quality innovation and accountability supporting your teams development and Dysons ambition.

About you

• Proven track record as a people leader with a 10 years in Data Management Engineering or AI Operations with at least 5 years in a people management role in hiring mentoring and developing high-performing data teams. You motivate others with clear vision hands-on support and by nurturing a culture of feedback accountability and growth.


• Experience scaling an ML organization from a few localized models to an enterprise-wide automated pipeline.


• Ability to architect high-level data flows between raw storage labelling interfaces and CI/CD training pipelines.


• A deep understanding of the Machine Learning lifecyclenot necessarily to write the code but to judge the feasibility and quality of the teams output.


• Compliance & Security: Solid grounding in data sovereignty encryption at rest/transit and anonymization techniques.


• Skilled at managing in-house contractors and external partnersbalancing priorities budgets deliverables and timelines. Experience in negotiating contracts and building win-win relationships is essential.


• A strong collaborator and communicator; equally comfortable guiding engineers influencing product managers engaging with senior leadership and working with third parties. You foster alignment and clarity when priorities compete.


• Passionate about data quality ethical AI principles and designing scalable production-ready solutions. You thrive on process improvement and measure success by tangible outcomes and the performance of deployed systems.


• Ingrained with relentless attention to detail and a commitment to operational excellence. You implement best practices enforce clear documentation and seek continuous efficiency.


• Always looking to improve optimise and push boundaries. You stay ahead of emerging trends evaluate new technologies critically and inspire your teams to challenge the norm.


• Clear thinking even under pressure. You can pivot quickly solve problems before they escal


• Bachelors or Masters degree in computer science Data Engineering Artificial Intelligence or a related field. Higher degrees research credentials or industry-recognised certifications in Data Management or MLOps are a strong plus.

Dyson is an equal opportunity employer. We know that great minds dont think alike and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race colour religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other any other dimension of diversity.

Required Experience:

Manager