π AboutβLead Talent Science at Canonical
Lead Talent Science at Canonical is an exceptional opportunity for professionals passionate about leveraging data-driven methodologies to enhance talent acquisition. Canonical, renowned for its Ubuntu platform, is seeking a seasoned leader to spearhead its Talent Science initiatives. This role is pivotal in ensuring the selection of world-class talent through scientifically rigorous processes, irrespective of location, culture, or background.
As the leader of the Talent Science team, you’ll collaborate closely with the Global Head of Talent Science and various stakeholders to drive strategic objectives. Your expertise will be instrumental in designing and implementing solutions to complex hiring challenges, ensuring alignment with high-performance outcomes and career frameworks. This position offers the chance to work in a globally distributed, remote-first environment, contributing to the evolution of open-source software and operating systems.
π Table of Contents
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π Job Overview
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ποΈ Job Categories
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π― Primary Responsibilities by Role
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πΌ Why Work at Canonical
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β Candidate Eligibility Criteria
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π How To Apply
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β Frequently Asked Questions (FAQs)
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π§ Final Thoughts
π Job Overview
Company Name: Canonical
Location: RemoteβEMEA Region
Employment Type: Full-Time
Experience Level: Senior Leadership
Interview Date: Rolling Applications (Apply Now)
Canonical is a trailblazer in open-source software, with Ubuntu being a cornerstone in public cloud, AI, data science, engineering, and IoT sectors. With over 1,200 colleagues across 75+ countries, Canonical operates with a remote-first approach, emphasizing global collaboration and innovation.
ποΈ Job Categories

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Human Resources/Talent Acquisition
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Organizational Psychology
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Data Science / Analytics
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Leadership Development
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Remote Work Management
π― Primary Responsibilities by Role
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Strategic Leadership: Drive the Talent Science project roadmap, ensuring alignment with organizational goals and hiring excellence.
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Data-Driven Decision Making: Utilize analytical tools (SQL, R, Python) to dissect hiring data, providing insights that inform talent strategies.
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Process Optimization: Design and implement efficient hiring processes, integrating behavioral science to enhance selection methods.
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Team Development: Mentor and coach team members, fostering growth in analytical capabilities and thought leadership.
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Stakeholder Collaboration: Engage with company leaders to communicate the vision for talent, ensuring consistency in hiring practices.
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Interim Leadership: Step in to lead the Talent Science function as needed, maintaining momentum in strategic initiatives.
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πΌ Why Work at Canonical
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Global Impact: Contribute to a company at the forefront of open-source innovation, influencing industries worldwide.
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Remote-First Culture: Embrace a flexible work environment, collaborating with a diverse, international team.
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Professional Growth: Access a personal learning and development budget of USD 2,000 per year to enhance your skills.
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Comprehensive Benefits: Enjoy annual compensation reviews, performance-driven bonuses, and recognition rewards.
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Inclusive Environment: Be part of a workplace that values diversity, equity, and inclusion, fostering a culture of respect and belonging.
β Candidate Eligibility Criteria
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Educational Background: Exceptional academic track record with an undergraduate degree in psychology or a related field.
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Professional Experience: Significant experience in talent outcomes within corporate settings, preferably in technology or consulting.
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Analytical Skills: Proficiency in SQL, R, and/or Python, with the ability to analyze complex data sets.
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Leadership Abilities: Demonstrated success in leading strategic initiatives and developing high-performing teams.
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Communication Skills: Excellent written and spoken English, with strong presentation capabilities.
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Travel Requirements: Willingness to travel internationally twice a year for company events, up to two weeks each.
π How To Apply
Embark on a transformative career journey by applying for the Lead Talent Science role at Canonical. To submit your application, please visit the official Canonical careers page:
π Apply Here : Canonical
Ensure your resume highlights your analytical expertise, leadership experience, and passion for talent development. Applications are reviewed on a rolling basis, so early submission is encouraged.
β Frequently Asked Questions (FAQs)
Q1: What is the primary focus of the Talent Science team at Canonical?
A1: The team ensures objective, scientifically rigorous, and efficient hiring processes to select top-tier talent globally.
Q2: Is this position entirely remote?
A2: Yes, the role is fully remote, based in the EMEA region, aligning with Canonical’s remote-first approach.
Q3: What tools and technologies should candidates be proficient in?
A3: Candidates should be skilled in SQL, R, and/or Python for data analysis, with experience in BI tools being advantageous.
Q4: Are there opportunities for professional development?
A4: Absolutely. Canonical offers a personal learning and development budget of USD 2,000 per year, among other growth opportunities.
Q5: How does Canonical support diversity and inclusion?
A5: Canonical is committed to fostering a workplace free from discrimination, valuing diverse experiences, perspectives, and backgrounds.
π§ Final Thoughts
Embarking on a role as the Lead Talent Science professional at Canonical offers a unique blend of strategic leadership, analytical challenges, and the opportunity to shape the future of talent acquisition in a globally distributed company. Your contributions will directly influence the organization’s ability to attract and retain exceptional talent, driving innovation in open-source software.
Canonical’s commitment to a remote-first culture, continuous learning, and inclusive practices makes it an ideal environment for professionals seeking meaningful impact and growth. If you’re ready to lead transformative talent initiatives and collaborate with a diverse team of experts, this role is your gateway to a rewarding career in the tech industry.