Manager, People Analytics

About the role

The Workplace Engineering function builds analytic tools and insights that drive decision making across Canonical's global operations. This role leads a product squad of People Data Scientists, Software Engineers, and UX Designers, owning the development of predictive and prescriptive insights and AI agents for managers.

What you'll do

• Lead and mentor a multidisciplinary squad focused on People data products
• Bridge HR and engineering language to translate human behavior into code and analytics
• Develop predictive and prescriptive analytics to improve business outcomes
• Drive data stewardship and ensure GDPR/privacy compliance across the People data stack
• Create compelling data narratives and real-time insights for managers
• Advance the open source AI/Data stack and maintain a single source of truth

What they're looking for

• Background in data science, mathematics, or engineering with strong statistics and data wrangling skills
• Proficiency in coding and scripting languages (Python, R, JavaScript) and data visualization tools (e.g. Superset, Tableau)
• Experience with SQL databases and software engineering practices
• Ability to translate business questions into research objectives and methodologies
• Proven ability to lead others and drive roadmaps with a coaching mindset
• Willingness to travel internationally 2-4 times per year for company events

For applicants in Nigeria

• The listing specifies remote work and regions AMER or EMEA; Nigeria is not excluded, but confirm timezone expectations at interview
• Timezone guidance is not explicitly stated beyond AMER/EMEA; confirm during interview
• Role is remote; no explicit note on contractor vs employee in the listing
• Pay currency or salary range is not specified in the listing; confirm during interview
• Visa or formal work-authorization notes are not stated; confirm during interview