Director, Talent Analytics
✨ AI Summary
The Talent Science team at Canonical is dedicated to implementing a rigorous, data-driven hiring process that transcends location, culture, and background. Our focus is on using data analytics and behavioral science to enhance hiring decisions, ensuring the acquisition of top-tier talent. We are seeking leaders to help grow our team and achieve strategic objectives, reporting directly to the Global Head of Talent Science.
Key Responsibilities:
- Lead a team to meet strategic goals, emphasizing product design and roadmap execution.
- Analyze performance outcomes linked to hiring methods to identify exceptional talent.
- Develop and implement efficient processes and frameworks.
- Mentor team members in analytical skills and thought leadership.
- Act as a trusted advisor and leader in the absence of the Head of Talent Science.
- Collaborate with company leaders to communicate our talent vision.
Requirements:
- A strong academic background with an undergraduate degree in a people-focused field.
- Over 7 years of experience in talent acquisition, with a solid understanding of analytics in recruitment.
- Proficient in data analysis using SQL, Python, R, or SPSS.
- Experience with BI tools, such as Superset.
- Excellent leadership, project management, and coaching skills.
- Fluent in English with strong presentation abilities.
Application Process:
If you are motivated by our mission and align with our values of precision, reliability, accessibility, and adaptability, we encourage you to apply. Canonical offers a competitive compensation package, including bonuses, benefits, and opportunities for professional growth.
Join us in shaping the future of open-source technology at Canonical!