Role Overview
Data Product Managers determine and oversee delivery of the strategy and roadmap for data-driven assets, products and solutions to achieve business outcomes and financial objectives. Their responsibilities include collaborating with technical and functional stakeholders to set priorities, managing delivery and operations, and providing direction and oversight to delivery teams. This role demands strong analytical mindset, bias for action and passion for building impactful data products in a dynamic environment.
Key Responsibilities
Develop a deep understanding of business goals and processes to inform delivery priorities and recommendations for improvements.
Develop strong relationships and regularly communicate with business stakeholders to shape requirements and prioritize needs. Translating business requirements into actionable product and technical features.
Define and execute product roadmaps that drive measurable business outcomes, including planning resource allocation and team skill requirements.
Work closely with technical teams to ensure timely delivery of high-quality data products and solutions, resolving obstacles and trade-offs as required.
Communicate delivery progress and results to stakeholders, focusing on how data and AI solutions meet their business goals.
Advocate for best practices in AI/ML, data management, data governance, and user experience into data products and solutions.
Monitor performance and reliability of data products, coordinating with Data Operations to resolve outages, bugs, and performance issues.
Define and monitor post-launch metrics, performance and user adoption, iterating on solutions to maximize sustained business impact.
Drive change management, including training and supporting end users as AI workflows and analytics are integrated into their daily operations.
Ensure alignment and adherence to corporate, financial and IT standards (e.g., architecture, privacy, compliance, security).
Continuously track and evaluate emerging data/AI technology, industry trends, and best practices to drive innovation and inform product execution.
Competencies
Proficient with Agile methodologies and tools (e.g., Jira, Confluence). Experience writing clear product requirements, user stories, and acceptance criteria with the help of AI.
Skilled in prioritizing features and managing backlogs based on business value and technical dependencies. Demonstrated effective collaboration with cross-functional teams (engineering, analytics, business, etc.).
Strong understanding of data platforms, data modelling and analytics/reporting tools.
Good understanding of AI architecture, evaluation testing and context engineering.
Demonstrated ability to synthesize complex technical specifications into clear, actionable insights for non-technical stakeholders across both written and verbal communication.
Demonstrated strong business acumen and partnership with senior stakeholders. Building buy-in, influencing stakeholders and keeping diverse teams aligned.
Excellent problem-solving, critical-thinking, and organizational skills. Ability to thrive in ambiguous, fast-paced environments.
Ownership mindset with a bias for action and accountability for delivering measurable results.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related STEM field.
Minimum 7 years’ experience in product or technical project management related to AI, data analytics, data management, or business intelligence.
Proficient in SQL and knowledge of data processing, architecture and modern data platforms.
Working experience with Data Science applications and AI/ML workflows.
Industry experiences relevant to Dyson (eg. manufacturing, engineering) is highly desirable.
Professional certification in Product or Project Management (e.g., AIPMM, CSPO, PMP) preferred.
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.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related STEM field.
- Minimum 7 years' experience in product or technical project management related to AI, data analytics, data management, or business intelligence.
- Proficient in SQL.
- Proficient with Agile methodologies and tools (e.g., Jira, Confluence).
- Strong understanding of data platforms, data modelling and analytics/reporting tools.
- Working experience with Data Science applications and AI/ML workflows.
- Good understanding of AI architecture, evaluation testing and context engineering.
- Professional certification in Product or Project Management (e.g., AIPMM, CSPO, PMP).
- Industry experience relevant to Dyson (e.g., manufacturing, engineering).
Dyson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Dyson and has not been reviewed or approved by Dyson.
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Healthcare Strength — Medical, dental, and vision offerings are broad, paired with company‑paid life and disability coverage, plus EAP, backup care, and wellness incentives. Employer‑funded healthcare dollars and premium‑discount or Lifestyle Spending Account options further enhance coverage value.
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Retirement Support — A 401(k) with a company match is consistently advertised on U.S. postings. This provides predictable retirement support across roles.
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Wellbeing & Lifestyle Benefits — Wellbeing programs, commuter benefits, and notable product discounts supplement core coverage. Wellness incentives and a Lifestyle Spending Account expand lifestyle support beyond medical plans.
Dyson Insights
What We Do
At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs over 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas
