Manager, Talent Science at Canonical Nigeria

Canonical - We deliver open source to the world faster, more securely, and more cost-effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - Ubuntu is the future of open source, which is why it's the fastest-growing Linux in the world despite already being the most widely deployed.

We are recruiting to fill the position below:

Job Title: Manager, Talent Science

Location: Lagos

Responsibilities

• Lead a team of data driven behavioural experts, responsible for ensuring that our leadership teams are selecting  game changing talent for our organisation.
• Drive analytics projects that bring deep insight and understanding to how we select talent, based on examining performance indicators and outcomes.
• Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
• Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.
• Conduct in-depth behavioral talent interviews providing considerable insights into motivations and behaviours of talent.
• Review our assessment effectiveness to drive continuous improvement.
• Ensure our Employer branding and DEI initiatives support and drive an inclusive environment for our people.

Requirements

• An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
• Strong analytical mindset with solid evidence of driving analytical projects and storytelling through data to drive change ideally from in the Technology space.
• Skilled in R or Python, SQL and building BI dashboards.
• Exceptional management experience, leading analytical mindsets and projects that drive efficiency and deliver results. 
• A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high performance organisation.
• Good exposure to key talent topics: competency based interviews, psychometric assessments, employer branding, candidate experience, DEI.
• Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent  as well as challenge the status quo.
• Experience of successful configuration of hiring tools that enable the selection process.
• Willingness to travel up to 2-4 times a year for internal events.

Skills

• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Experience on building data dashboards.
• Exposure to the following tools: Jira, LinkedIn Talent Insights, Greenhouse, DISC profiling

Benefits

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online