Manager, People Analytics

🔥 1 hour ago

🏈 North America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👥 People Operations

👻 Ghost score 11%

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Canonical

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

🤖 Artificial Intelligence

Open Source • Cloud • Artificial Intelligence

Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.

📋 Description

• Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers • Own People Science products and bridge HR and software engineering perspectives • Develop predictive and prescriptive workforce insights beyond descriptive metrics • Translate complex data models into compelling narratives • Lead development of AI Agents that surface insights to managers in real time • Ensure the People Data Stack is secure, GDPR/privacy-compliant, and a single source of truth • Identify high-tech opportunities in People offerings to maximize human value • Report directly to the Global Head of Workplace Engineering • Transform workforce data into People Products that support decision-making and innovation across global operations

🎯 Requirements

• Background in data science, mathematics, or engineering • Skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering • Strength in coding/scripting languages such as Python, R, and JavaScript • Experience with software engineering, visualization tools such as Superset and Tableau, and automation • Ability to translate business questions to key research objectives • Ability to identify appropriate research methodologies and synthesize and analyze findings • Proven ability to lead and drive others against well-planned roadmaps • Strong mentor/coaching mindset • Willingness to examine the status quo and resilience in the face of challenges • Ambition to build an AI/Data stack in open source • Exceptional academic track record from high school and university • Business-level written and spoken English • Sincere personal motivation aligned with Canonical’s mission • Willingness to travel internationally 2–4 times a year for company events lasting up to two weeks • Nice-to-have: Experience with dbt, Airbyte, Ranger, Superset, Temporal, or Trino • Nice-to-have: Basic understanding of containerization technologies such as Docker and Kubernetes • Nice-to-have: Agentic Engineering • Nice-to-have: Product management • Nice-to-have: User experience and design

🏖️ Benefits

• Performance-driven annual bonus or commission in addition to base pay • Distributed work environment with twice-yearly team sprints in person • Personal learning and development budget of USD 2,000 per year • Bi-annual compensation review • Company recognition rewards • 40 days annual leave per annum, including public holidays and All Company holiday periods • Maternity and paternity leave • Team Member Assistance Program & Wellness Platform • Opportunity to travel to new locations to meet colleagues • Priority Pass for lounge access

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