Executive Search Lead

6 days ago Be among the first 25 applicantsCanonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.The company is founder led, profitable and growing.As a pioneer global 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 business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to hire high performing talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires connecting performance outcomes to hiring.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.Our team works closely with the business to oversee the hiring process and encourage best practice whilst offering an expert viewpoint on talent assessments. We are not recruiters; it's about the science of talent and performance, raising awareness and offering deep analytical insights across the business to enable them to select the best talent available from our global talent pool.We have a brand new opportunity for a Talent Scientist in the team who will lead on teaching our senior executives how to source senior talent. Your key skills will be:Experience of identifying and approaching senior leadership talent from either a professional search firm or from an in-house search function, working within the Technology industry.Excellent knowledge tools used to identify future talent including market mapping.Strong analytical problem solving ability to identify trends and patterns from data, with SQL or Python.Location: EMEA - Home basedThe role entailsDeveloping a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline.Coaching our senior leadership teams to drive hiring outcomes, enabling them to become expert at approaching and attracting exceptional talent for their management and leadership positions.Driving talent analytics to provide our business with real-time insight, using SQL or Python to identify trends in data.Conducting in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.Building key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processesSeeking continuous improvement on hiring processes and outcomes.Bringing a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.What we are looking for in youProfessional experience of headhunting from a reputable executive search firm or in-house search function, with an informed opinion of strategies and experience of successfully sourcing senior talent in the Technology industry.Exposure or appreciation of psychometric assessments.Strong analytical problem solving ability to identify trends and patterns from data using SQL or Python, with proficiency in LinkedIn talent modules.Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.An exceptional academic background including a Bachelors or Masters degree in a Psychology or people based subject and a good level of Maths from High School.A high level of personal organisation to work remotely and be effective.Willingness to travel to company events 2-4 times a year, for up to two weeks each.Other Skills You May BringExperience of more advanced analytical and statistical analysis to interrogate data.Exposure to the following tools: Greenhouse ATS, Thomas International and DISC profiling.Psychometric validity and reliability metrics.What we offer colleaguesDistributed 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 CanonicalCanonical 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 on a daily basis. 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. Canonical has been a remote-first company 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 employerWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #J-18808-Ljbffr