Remote Leader, People Analytics & AI Product

Canonical Ltd.; Doha; A distancia; QAR 437.000 - 655.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Performance bonus

Learning budget USD 2,000 per year

Bi-annual compensation review

40 days annual leave

Descripción de la vacante

Canonical Ltd. is seeking a senior leader for Workplace Engineering to drive the data science agenda across HR analytics and product engineering. You will mentor a multidisciplinary squad, bridging HR and Dev perspectives to deliver predictive insights and real-time manager guidance.

You will shape the future AI/Data stack in open source, ensuring data governance, security, and high-quality storytelling across global teams.

Formación

• Background in data science, mathematics, or engineering.
• Strong coding in Python, R, and JavaScript.
• Ability to translate business questions into research objectives.
• Experience leading teams to execute roadmaps.

Responsabilidades

• Lead and mentor a squad of People Data Scientists, Software Engineers, and UX Designers.
• Bridge HR-speak and Dev-speak to ensure engineers understand behavioral intent behind code.
• Develop predictive and prescriptive insights for business outcomes.
• Act as Translator-in-Chief turning data models into compelling narratives; lead AI Agents development.
• Ensure People Data Stack is secure, GDPR/privacy-compliant, and serves as a single source of truth.

Conocimientos

Data science

Statistics

SQL databases

Python

R

JavaScript

Leadership

Educación

Advanced degree in data science or engineering

Herramientas

Superset

Tableau

dbt

Airbyte

Ranger

Trino

Docker

Kubernetes

Descripción del empleo

Canonical Ltd. is seeking a senior leader for Workplace Engineering to drive the data science agenda across HR analytics and product engineering. You will mentor a multidisciplinary squad, bridging HR and Dev perspectives to deliver predictive insights and real-time manager guidance.

You will shape the future AI/Data stack in open source, ensuring data governance, security, and high-quality storytelling across global teams.