Manager, People Analytics

Home Based Americas, United StatesOn-site

Requirements

They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence.
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 (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.
Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset.
Ambition to build tomorrow's AI/Data stack in open source.
Experience with Airbyte, Ranger, Superset, Temporal, or Trino
Basic understanding of containerization technologies such as Docker and Kubernetes Agentic Engineering Product management User
Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT.

We consider geographical location, experience, and performance in shaping compensation worldwide.
We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues.
In addition to base pay, we offer a performance-driven annual bonus or commission.
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave

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.
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.