Manager, People Analytics

This is a fully remote position, open to applicants in North America.

📋 Description

• Lead and guide a dedicated team of People Data Scientists, Software Engineers, and UX Designers.

• Take ownership of People Science products, integrating perspectives from HR and software engineering.

• Create predictive and prescriptive workforce insights that go beyond just descriptive metrics.

• Convert complex data models into engaging narratives.

• Spearhead the development of AI Agents that provide real-time insights to managers.

• Ensure that the People Data Stack is secure, compliant with GDPR/privacy regulations, and acts as a single source of truth.

• Identify innovative high-tech opportunities in People offerings to enhance human value.

• Report directly to the Global Head of Workplace Engineering.

• Transform workforce data into People Products that facilitate decision-making and promote innovation across global operations.

⛳️ Requirements

• A background in data science, mathematics, or engineering.

• Proficiency in advanced statistics, data manipulation/science, databases (SQL, etc.), or software engineering.

• Strong skills in programming/scripting languages such as Python, R, and JavaScript.

• Experience with software engineering, visualization tools like Superset and Tableau, and automation techniques.

• Capability to translate business inquiries into essential research objectives.

• Ability to determine suitable research methodologies and synthesize and analyze outcomes.

• Demonstrated ability to lead and motivate others according to well-structured roadmaps.

• A strong mentoring and coaching attitude.

• Openness to challenge the status quo and resilience when facing obstacles.

• Desire to create an AI/Data stack using open-source technologies.

• Exceptional academic history from both high school and university.

• Proficient in business-level written and spoken English.

• Genuine personal motivation that aligns with Canonical’s mission.

• Willingness to travel internationally 2–4 times a year for company events lasting up to two weeks.

• Nice-to-have: Familiarity with dbt, Airbyte, Ranger, Superset, Temporal, or Trino.

• Nice-to-have: Basic knowledge of containerization technologies such as Docker and Kubernetes.

• Nice-to-have: Experience in Agentic Engineering.

• Nice-to-have: Background in product management.

• Nice-to-have: Understanding of user experience and design principles.

🏝️ Benefits

• Performance-based annual bonus or commission in addition to base salary.

• A distributed work environment with in-person team sprints held twice a year.

• Personal learning and development budget of USD 2,000 annually.

• Bi-annual review of compensation.

• Recognition rewards from the company.

• 40 days of annual leave, inclusive of public holidays and All Company holiday periods.

• Maternity and paternity leave available.

• Team Member Assistance Program and Wellness Platform offered.

• Opportunities to travel to new locations to connect with colleagues.

• Priority Pass for lounge access.