Manager, People Analytics
Europe, Middle East and Africa region; check country requirements
- Work mode
- Remote
- Posted
- 17 Jul 2026
Listed on Canonical careers (Greenhouse board) · checked 16 Oct 2026 · report a problem
Apply destination: Employer applicant tracking system (job-boards.greenhouse.io)
The source still carries this posting, but its posting date is more than 3 months old. Remaining listed is not evidence that the role is still open — confirm on the original posting before applying.
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- Eligibility wording from the source
- Home Based - Americas; Home based - EMEA. Location: This is a remote role based in the AMER or EMEA Region.. We consider geographical location, experience, and performance in shaping compensation worldwide.. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere.
- Eligibility last checked
- 16 Oct 2026
- Published by the source
- 17 Jul 2026
- Age of the source posting
- 94 days
- Last source check
- 16 Oct 2026
Application readiness
2 checks deserve attention
Prioritised from the source, eligibility, freshness, description and pay evidence held for this role. This is not a fit score.
- Confirm eligibility for your countryHome Based - Americas; Home based - EMEA. Location: This is a remote role based in the AMER or EMEA Region.. We consider geographical location, experience, and performance in shaping compensation worldwide.. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. Check that your country of residence is included and review any exclusions or work-authorization requirements.Check source
- Application path is employer-controlledjob-boards.greenhouse.io is an applicant tracking system the employer controls.
- Posted over 3 months agoThe source still carries this posting, but its posting date is more than 3 months old. Remaining listed is not evidence that the role is still open — confirm on the original posting before applying.Check source
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The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next.
This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support.
Location: This is a remote role based in the AMER or EMEA Region.
The role entails
- Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad.
- Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code.
- Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data).
- Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services.