Head of People Analytics & Data Products (Remote) in Douglas

Head of People Analytics & Data Products (Remote) in Douglas

Douglas Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead a team to transform data into strategic insights for business success.
  • Company: Join Canonical, a leader in open-source technology and innovation.
  • Benefits: Remote work, international travel, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on privacy and security in tech.
  • Why this job: Shape the future of AI/Data while making a real impact globally.
  • Qualifications: Experience in data analytics, HR, and cross-functional team leadership.

The predicted salary is between 70000 - 90000 Β£ per year.

Canonical seeks a senior Workplace Engineer to lead a cross-functional squad of data scientists, software engineers, and UX designers. You will bridge HR language and development language, turning data into strategic product insights that drive business outcomes.

You will shape the AI/Data stack in open source, focusing on privacy, security, and real-time insight delivery to managers across global teams. Expect international travel 2–4 times a year and a remote-friendly setup.

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Head of People Analytics & Data Products (Remote) in Douglas employer: Canonical Group Ltd

Canonical is an exceptional employer that offers a fully remote working environment, allowing you to balance your professional and personal life while being part of a pioneering tech firm. With a strong focus on employee growth, we provide a personal learning and development budget, annual compensation reviews, and recognition rewards, ensuring that you can thrive in your career as an Accounts Payable Clerk. Join us to work alongside talented individuals in a diverse and inclusive culture that values innovation and excellence.

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Contact Details:

Canonical Group Ltd Recruitment Team

We think you need these skills to ace Head of People Analytics & Data Products (Remote) in Douglas

Data Science
Software Engineering
UX Design
HR Language Proficiency
AI/Data Stack Development
Privacy and Security Awareness
Real-time Insight Delivery