Senior Data Intelligence Manager

About This Role

About Us At Dyson, 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 Dyson’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 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, you’ll 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 data.This 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 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.
• 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 resources—driving clarity, ensuring productivity and alignment to Dyson’s objectives.
• Build a culture of quality, innovation, and accountability, supporting your team’s development and Dyson’s 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 lifecycle—not necessarily to write the code, but to judge the feasibility and quality of the team's output.
• Compliance & Security: Solid grounding in data sovereignty, encryption at rest/transit, and anonymization techniques.
• Skilled at managing in-house contractors and external partners—balancing 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 escalate, and always remain focused on business impact.
• Bachelor’s or Master's 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 don’t 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.