We are looking for an experienced people manager to lead the delivery of our Talent Science roadmap on predicting job performance and hiring outcomes. This is an exceptional opportunity to join a team that is changing the way an organisation hires by deep examination of performance drivers to ensure our hiring processes feed a culture of exceptional talent.As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our hiring processes are effective and that the business is able to make the best decisions to select and hire exceptional talent.Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent, regardless of location, culture or background.Our team is looking to hire a Manager to lead a group of Talent Scientists whose quest it is to best predict performance outcomes. This role will report directly to the Global Head of Talent Science.Your role will include:Leading a team to deliver an analytical roadmap of projects (Prediction of performance outcomes, advancing psychometric approaches, driving automation on our platforms) using innovative and scalable solutions to hiring as we go through a period of significant growth.Act as a partner to our senior stakeholders bringing exceptional analytics to our hiring process with a point of view to how an organisation builds a culture of exceptional talent.Use advanced data driven analytical approaches to solve problems and innovate.Location: EMEA - Home basedWhat your day will look like In this role you will:Lead a team of data driven analytical talent experts who are responsible for ensuring that our hiring teams are able to select game changing talent.Lead and drive deep analytical and data backed approaches to projects that enable us to develop our hiring processes and outcomes, including statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.Bring an expert point of view talent assessment discovering the attributes that drive ultimate job success, reviewing our assessment effectiveness to drive continuous improvement.Passionately conduct in-depth behavioral interviews providing considerable insights into motivations and behaviours of candidates as part of our interview process.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.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.Proven management experience inspiring and leading talent teams to deliver against strategic hiring initiatives.Excellent project management skills to lead roadmaps, including driving efficiency and delivering results.Exceptional analytical skills to examine data and identify patterns, trends and behaviours: statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.Experience of using and interpreting psychometric assessments to examine candidate drivers.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.Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.A sense of urgency with results driven approaches to deliver business critical projectsWillingness to travel internationally up to 4 times a year for internal team and company events.Other skills you may bring Exposure to the following tools: LinkedIn Recruiter and Talent Insights, Greenhouse, DISC profiling/Thomas International.What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.Distributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleaguesPriority Pass, and travel upgrades for long haul company eventsAbout Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.Canonical is an equal opportunity employerDescribe the size and remit of the team you have managed in your current role: *Please explain your most advanced piece of work driven from data insights and statistical analysis that has shaped how an organisation selected its talent. Please include the analytical tools, approaches and data platforms you are familiar with. *Describe your experience with competency based interviewing and psychometric assessments. *How did you perform in mathematics at high school? *Please selectHow did you perform in your native language at high school? *Please selectPlease share your rationale or evidence for the high school performance selections above. Make reference to provincial, state or nation-wide scoring systems, rankings, or recognition awards, or to competitive or selective college entrance results such as SAT or ACT scores, JAMB, matriculation results, IB results etc. We recognise every system is different but we will ask you to justify your selections above. *What was your bachelor's university degree result, or expected result if you have not yet graduated? Please include the grading system to help us understand your result e.g. '85 out of 100', '2:1 (Grading system: first class, 2:1, 2:2, third class)' or 'GPA score of 3.8/4.0 (predicted)'. We have hired outstanding individuals who did not attend or complete university. If this describes you, please continue with your application and enter 'no degree'. *Universities around the world score degrees in different ways. Please indicate your result, or expected result if you are close to graduation, along with information about the grading system.During this application process I agree to use only my own words. I understand that plagiarism, the use of AI or other generated content will disqualify my application. *--We expect all colleagues to meet in person 2-4 times a year, at internal company events lasting between 1-2 weeks. We try to pick new and interesting locations that will likely require international travel and entry requirement visas and vaccinations. Are you willing and able to commit to this? *Please note that if you require any accommodation for travel that relates to a physical disability please do let us know during your hiring process and we will be happy to discuss your requirements further.--In which country do you currently work? *Please select your current location from the dropdown.Please selectPlease confirm that you have read and agree to Canonical's Recruitment Privacy Notice and Privacy Policy. *Recruitment Privacy NoticePrivacy PolicyPlease select#J-18808-Ljbffr