At a Glance
- Tasks: Lead strategy and development of a global supplier ecosystem for AI datasets.
- Company: Join a pioneering company at the forefront of AI technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Shape the future of AI by building a world-class data supply network.
- Qualifications: 12+ years in operations or vendor management with AI expertise.
The predicted salary is between 90000 - 110000 £ per year.
About the Role
We are seeking an experienced Senior Director to lead the strategy, development, and scaling of a global supplier ecosystem that delivers high-value Off-the-Shelf (OTS) AI datasets for Large Multimodal Models (LMMs), Physical AI, Robotics, Autonomous Systems, and Embodied AI.
This role combines business development, vendor management, program delivery, commercial strategy, and operational excellence to build a world-class data supply network.
Key Responsibilities
- Build and expand a global network of specialized data suppliers, research organizations, production studios, robotics labs, and regional partners.
- Lead vendor sourcing, qualification, onboarding, governance, and long-term supplier partnerships.
- Manage the full lifecycle of the OTS dataset portfolio, including acquisition, quality, licensing, documentation, and inventory.
- Oversee global AI data collection programs, ensuring on-time, high-quality delivery across distributed partners.
- Establish scalable operating procedures and quality control frameworks for multimodal and physical AI data collection.
- Partner with Product and Engineering teams to automate supplier onboarding, compliance, quality evaluation, and operational workflows.
- Collaborate with Sales, Finance, Procurement, Legal, and Engineering to develop pricing strategies, commercial models, and delivery plans.
- Drive continuous improvement in supplier performance, scalability, and operational efficiency.
Requirements
- 12+ years of experience in global operations, vendor management, supplier ecosystems, or AI data supply chains.
- Proven experience managing large-scale AI data collection or complex global operations.
- Strong understanding of Multimodal AI datasets, Physical AI, Robotics, or related AI technologies.
- Excellent stakeholder management, commercial negotiation, and program management skills.
- Experience leading globally distributed teams and building scalable operational processes.
- #J-18808-Ljbffr
Senior Delivery Director in London employer: Centific
Centific is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its diverse team of over 4,000 AI practitioners and engineers. With a strong emphasis on career growth opportunities and a commitment to employee development, Centific provides a supportive environment for Datacentre Operations Engineers to thrive, particularly in the vibrant tech hub where they can engage with cutting-edge technologies and industry-leading partnerships.
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We think you need these skills to ace Senior Delivery Director in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Centific
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
