Manager, Talent Science

2 weeks ago

Lagos, Lagos, Nigeria Canonical Full time

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

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