Technical Product Manager β€” Enterprise Data Platforms

Technical Product Manager β€” Enterprise Data Platforms

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of scalable data products and platform services for impactful business decisions.
  • Company: Marks & Spencer, a leading retailer in London with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team at the intersection of business, data, and technology.
  • Why this job: Shape the future of enterprise data and drive transformation in Fashion, Home & Beauty.
  • Qualifications: Experience in product management and a strong understanding of data technologies.

The predicted salary is between 60000 - 80000 Β£ per year.

Marks & Spencer in London is recruiting a Technical Product Manager to shape the future of enterprise data across Fashion, Home & Beauty. You will lead the development of scalable data products and platform services that power critical business decisions and drive transformation programs.

Working at the intersection of business, data and technology, you will partner with Engineering and stakeholders to deliver trusted, reusable data services that have impact at scale, while maintaining quality.

Technical Product Manager β€” Enterprise Data Platforms employer: MARKS&SPENCER

At MARKS&SPENCER, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As an Engineering Strategy Lead in Greater London, you will benefit from a supportive environment that prioritises professional growth, offers mentorship opportunities, and encourages the adoption of cutting-edge technologies. Join us to be part of a team that values excellence and is committed to making a meaningful impact in the retail sector.

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Contact Details:

MARKS&SPENCER Recruitment Team

We think you need these skills to ace Technical Product Manager β€” Enterprise Data Platforms

Communication Skills
Problem-Solving Skills
Data Engineering
SQL
Python
Data Pipeline Development
API Integration