Director, People Analytics & Data Products (Remote)

Canonical Ltd.; Bogotá; Remote; COP 462,214,000 - 693,321,000; Full time

Benefits offered by this job

Learning budget of USD 2,000 per year

40 days annual leave

Maternity and paternity leave

Wellness platform

Travel opportunities

Job summary

Canonical Ltd. is seeking a senior data-oriented leader to bridge HR analytics and Product Engineering. You will mentor a diverse squad of data scientists, software engineers, and UX designers, turning complex data into strategic assets that elevate decision making across global functions.

You will own the translation of business questions into research objectives, drive predictive insights, and shape tomorrow's AI/Data stack in open source while ensuring security and privacy compliance.

Qualifications

• Strong background in data science, mathematics, or engineering.
• Ability to translate business questions into research objectives.
• Experience with advanced statistics and data wrangling techniques.
• Proficiency in SQL databases and data visualization tools.
• Fluency in Python, R, and JavaScript for analytics and automation.
• Experience mentoring and leading cross-functional teams.

Responsibilities

• Lead and mentor a squad of People Data Scientists, Software Engineers, and UX Designers.
• Bridge HR concepts with Dev language to clarify human behavioral intent in code.
• Develop predictive and prescriptive insights to drive business outcomes.
• Steward data and narrate analytics through compelling stories; develop AI Agents for real-time insights.
• Ensure the People Data Stack is secure, GDPR/privacy-compliant, and acts as a single source of truth.

Skills

Data science

Statistics

Data wrangling

SQL databases

Python

R

JavaScript

Data visualization

Automation

Education

Bachelor’s degree or higher in a related field

Tools

dbt

Airbyte

Ranger

Superset

Temporal

Trino

Docker

Kubernetes

Job description

Canonical Ltd. is seeking a senior data-oriented leader to bridge HR analytics and Product Engineering. You will mentor a diverse squad of data scientists, software engineers, and UX designers, turning complex data into strategic assets that elevate decision making across global functions.

You will own the translation of business questions into research objectives, drive predictive insights, and shape tomorrow's AI/Data stack in open source while ensuring security and privacy compliance.