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Data Product Owner


Data Science and Engineering
Singapore - St James Power Station Headquarters

About us

Dyson is on a journey to become a leader in the use and application of data and analytics. The use of connected data is at the forefront of ground-breaking engineering innovation at Dyson, and we aim to build on this and drive better use of data science and advanced analytics across the global enterprise and information systems.


As a Data Product Owner, you will play a key role in a strategic digital transformation initiative which will drive data and analytics transparency and seamless integration across strategic domains. The programme will define the strategy, approach, and processes by which the organisation acquires, stores, curates, manages, and analyses data, setting standards for data and analytics quality and security. Working within the Digital Transformation team, you will help to shape the way we use our data and analytics globally, foster an evidence-driven culture of decision-making, and develop the capability for outstanding use and application of data and analytics at Dyson. 

About the role

  • Contribute to a high-performing digital transformation team that supports the Connected objectives. 

  • Build and enhance models/platforms ahead of the business demand.

  • Facilitate data conversations & requirements between stakeholders and consumers of our data - including executives, engineers, analysts, product team & Dyson data consumers.

  • Identify gaps in data user requirements & ensuring that these are assessed and managed in a timely manner.

  • Responsible for enhancing the quality of evidence-driven insight from the Connected data. This will include developments to support go to market strategies, new product launches and general health of our owner base within the categories and support data driven acquisition strategies. 

  • Support the adoption of the services built and delivered for the stakeholders (RDD, NPI, Markets, Channels) and that they get used by these groups. 

  • Responsible for the data governance, working with Privacy and Legal to get the appropriate PIA/LIAs before any data sets are combined/activated.  

About you

  • Minimally 4 years of experience in data analytics, business intelligence, or software development.

  • At least 1 year of experience in large data transformation programmes.

  • Interest in and/or experience with data/analytics related technologies (e.g. SQL, Python, R, Google Cloud Platform, AWS).   

  • Working knowledge of data architecture and data engineering within a SAFe framework and using Agile methodology. 

  • Experience of creating and implementing a data strategy and data product roadmaps with the natural tendency to think 'Data impact'. 

  • Working knowledge of key tools - including Confluence / Jira / Stash / Bitbucket / GitHub.

  • Good commercial awareness and working knowledge of the objectives of different business functions within a large organisation. 

  • Excellent interpersonal communication skills with the ability to influence others (technical/non-technical).

  • Comfortable with, and resilience to, a high change environment.

  • Aptitude for project planning and execution, from initiation to completion.


Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.



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.