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Executive Search Lead - Technology

Canonical·Salary not specified

Primary stack

PythonAnalyticsSQL

Nice to have's

Greenhouse ATSThomas InternationalDISC profiling

Job description

About the Position

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough initiatives such as public cloud, data science, AI, engineering innovation, and IoT. We are 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.

We are looking for a Talent Scientist in our Talent Science 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 of 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 based

Responsibilities

  • Developing 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 behavioral talent interviews providing considerable insights into motivations and behaviors.
  • 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 processes.
  • Seeking 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.

Requirements

  • Professional 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 behavioral, 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 Bachelor's or Master's degree in a Psychology or people-based subject and a good level of Maths from High School.
  • A high level of personal organization to work remotely and be effective.
  • Willingness to travel to company events 2-4 times a year, for up to two weeks each.

Nice to Have

  • Experience 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.

We Offer

  • 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.

About the Company

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 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 Employer

We 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.

#LI-remote

© Canonical. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Canonical

Telecommunications,Aerospace,Healthcare,Government,Financial Services

About the Company Canonical delivers open source solutions faster, more securely, and more cost-effectively than any other company. The company develops Ubuntu, the world’s most popular enterprise Linux, from cloud to edge, in collaboration with a global community of 200,000 contributors. Products, Services & Tech Stack Core Solutions: Ubuntu: The world’s most popular enterprise Linux. Ubuntu Pro: A subscription service providing trusted open source supply chain with consistent security maintenance. Composable open source solutions: Solutions for building, deploying, and operating containerized apps. Data and AI solutions: Solutions for accelerating AI and data-driven workflows. IoT solutions: Solutions for building, securing, and scaling IoT devices. Project Scope & Target Clients Client Base: Enterprises Government agencies Healthcare organizations Educational institutions Research institutions Engineering Scale: Cloud infrastructure projects Data center automation Application modernization IoT device development AI and data-driven workflows

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