Manager, Talent Science needed at Canonical

Job title : Manager, Talent Science

Job Location : Lagos

Deadline : May 12, 2024

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In this role you will:

  • Lead a team of data driven behavioural experts, responsible for ensuring that our leadership teams are selecting game changing talent for our organisation.
  • Drive deep analytics that impact the decisions we make when assessing talent in the Tech industry.
  • 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.

What we are looking for in you

  • 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 using data to answer problems/questions to drive change (ability to use SQL/Python/R a plus, but not essential).
  • Management experience overseeing data driven experts in the talent field including managing projects that drive efficiency and deliver results, ideally from in the Technology space.
  • 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.
  • Experience of running and providing stakeholder training talent topics such as competency based interviews and sourcing.
  • Experience of interpreting psychometric assessments with a deep belief that motivations and behaviours are as important as technical domain skills.
  • Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.
  • Passionate about employer branding, candidate experience, DEI.
  • Experience of successful configuration of hiring tools that enable the selection process.
  • Willingness to travel up to 4 times a year for internal events.

Other Skills You May Bring

  • 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.

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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