TL;DR

Principal Product Manager (IoT): Leading the Data Platform squad to architect and evolve a scalable data ecosystem with an accent on data lakehouse implementation and real-time streaming capabilities. Focus on building decentralized data mesh models, aligning cross-functional stakeholders, and driving measurable product intelligence across the business.

Location: Reading, Berkshire (Hybrid role)

Company

A global, award-winning leader in IoT connectivity solutions, managing over 14 million subscriptions across 165 countries.

What you will do

Define and lead the vision, strategy, and roadmap for the next-generation data platform.
Architect and implement a modern data lakehouse model and data mesh for decentralized ownership.
Deliver real-time streaming capabilities to support analytics and IoT use cases.
Partner with internal data consumers to ensure high data accessibility, quality, and usability.
Own key platform components including governance, BI tooling, and ML-ready pipelines.
Collaborate with engineers, architects, and data scientists to translate technical strategy into business value.

Requirements

Must be based in or able to commute to Reading, Berkshire for hybrid work.
Proven experience as a Senior, Lead, or Principal Product Manager within data platforms or analytics infrastructure.
Deep expertise in data lakehouse architecture, data mesh models, and real-time streaming technologies.
Technical familiarity with Databricks, Delta Lake, Apache Spark, or Kafka.
Strong product discovery skills with the ability to balance long-term platform investments with short-term deliverables.
Excellent communication and stakeholder management skills to align diverse business needs.

Nice to have

Experience in developer-facing data tooling.
Background working within empowered, high-performing product teams.

Culture & Benefits

25 days holiday plus the option to buy up to 5 additional days.
Comprehensive private medical, dental, and optical cover.
Group Company Pension Scheme and enhanced maternity/paternity leave.
Birthday off and access to online retail discounts.
Supportive hybrid work environment with a focus on professional growth and training.
Employee assistance program and gym membership discounts.

Hiring process

Initial telephonic interview with the People team.
First round virtual interview with the hiring manager.
Second stage face-to-face interview with peers.
Final stage leadership interview.