Lead Data Intelligence Project Manager

Role Overview

Lead Data Intelligence Project Manager at Dyson, based at the company's location. You will orchestrate data operations that power product development across Dyson's global teams, ensuring every project has the resources and strategic coordination it needs to succeed.

Company Overview

Dyson is driven by a relentless pursuit of innovation in engineering, AI, and robotics. The new Data Intelligence team sits at the heart of this mission, shaping Dyson's future through data by blending creativity, precision, and audacity to power intelligent products. You will work alongside brilliant minds from Dyson's global engineering team and external software and hardware partners in an environment built for exploration, discovery, delivery, and impact.

Role Purpose

As the Lead Data Intelligence Project Manager, you ensure that every project has the resources it needs to succeed. You will act as the strategic orchestrator of data operations, serving as the primary liaison between external project teams and internal technical departments while managing the complete "data logistics" lifecycle from initial storage setup through final delivery of high-quality training sets.

Key Responsibilities

Project & Operations Leadership

• Own the "data logistics" for the entire project lifecycle, from initial storage setup to final delivery of high-quality training sets.
• Act as the primary liaison between external project teams and internal technical departments (Data Curation and MLOps).
• Oversee data storage setup and maintenance to guarantee security, accessibility, and compliance.

Vendor & Workforce Management

• Lead strategy for the labelling workforce, managing the balance between in-house contractors and third-party service providers to ensure capacity is never a bottleneck.
• Manage third-party vendors and service providers, including contract negotiation, quality assurance, issue resolution, and ongoing relationship management.

Documentation & Process

• Maintain rigorous documentation and workflows that ensure project transparency and repeatability.
• Drive continuous improvement, clear documentation, and repeatable processes across all projects.

Cross-Functional Collaboration

• Support cross-functional communication between data teams, contractors, and engineering partners.
• Coordinate with data scientists, engineers, product managers, and external stakeholders to deliver smooth handovers and alignment.
• Translate complex technical requirements into clear actions for both technical and non-technical audiences.

Qualifications & Experience

• 8+ years in Project or Program Management, with at least 2 years specifically in AI/ML Data Operations or Data Management.
• Demonstrated success delivering complex projects on time and within scope in fast-changing settings.
• Strong understanding of the Machine Learning Lifecycle, including how data flows from collection through cleaning, labeling, training, and deployment.
• Bachelor's degree in a relevant discipline (Computer Science, Data Engineering, Engineering, or Information Technology); higher degree or PMP/Prince2 certification is a plus.

Skills & Competencies

Technical Knowledge

• Experience with labeling platforms (Labelbox, CVAT, Label Studio).
• Experience with project management tools (Jira, Asana, or Airtable).
• Basic understanding of data storage architectures (S3, SQL, Snowflake).
• Knowledge of data privacy regulations (GDPR, CCPA).
• Solid understanding of modern data storage solutions (cloud, on-premises, hybrid), including principles of data security, privacy, access control, and regulatory compliance.

Soft Skills & Competencies

• Exceptional "translation" skills—the ability to explain technical MLOps constraints to business stakeholders and vice versa.
• Able to influence and build consensus across teams.
• Confident interfacing with cross-functional teams and coordinating complex handovers.
• Well-versed in project management methodologies (Agile, Scrum, or Waterfall).
• Thorough, highly organized, and relentless in troubleshooting issues and removing blockers before they impact delivery.
• Proactive and accountable, comfortable juggling competing priorities while keeping end goals in focus and balancing urgency with quality.

Additional Information

Dyson is an equal opportunity employer. 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 any other dimension of diversity.