Director, Talent Analytics

Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a data centric approach, we examine hiring data to create talent analytics and business intelligence to fuel our decision making on hiring. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process.

Working closely with our Hiring Leadership team, who ultimately lead on hiring, our team ensures that hiring decisions are being made in the right way and that our hiring model supports the selection of world class talent.

We are looking for a set of leaders to support our team growth and to help drive our strategic objective outcomes. This role will report directly to the Global Head of Talent Science.

To be successful you will bring:

• Analytical tooling to coach and lead the team
• Experience of leading roadmaps and projects
• Experience of leading others to achieve exceptional results

Location: These are remote based positions that are available across the globe.

The role entails

• Leading a team to deliver against a set of strategic objectives, with focus on product design and implementation of our roadmap.
• Cracking the code on hiring, connecting performance outcomes back to selection methods to ensure we identify and progress exceptional talent.
• Designing professional processes and frameworks, allowing efficient delivery of our agenda.
• Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members.
• Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader.
• Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical.

What we are looking for in you

• Exceptional academic track record from both high school and university, with an undergraduate degree in a people based subject.
• 7+ years experience in a Talent function, with a deep appreciation of recruitment and selection and analytics that drive decision making.
• Proven analytical ability to dissect and analyse data using SQL. Alternatively use Python, R, SPSS, or, possess the ability to run lookups, indexing, matching formulae with an appetite to learn SQL.
• Exposure to BI tools (Superset is our platform).
• Exemplary ability to lead and drive others to deliver, including exceptional project management and coaching to lead roadmap execution and delivery.
• Exceptional written and spoken English with strong presentation skills for a senior audience.
• Sincere personal motivation aligned with our mission.
• International travel 2-4 times a year for company events up to two weeks long.

In addition we expect that you will match our values, by being:

• Precise, taking care to deliver correctness and clarity.
• Reliable, delivering high quality work that builds trust and confidence.
• Accessible, collaborating to build products and systems that are usable.
• Adroit, blending enthusiasm, knowledge, adaptability, style and character.

Nice-to-have skills

• Advanced psychometric skills.
• A deep understanding of human behaviour, in particular intrinsic motivation.
• Experience of using Superset and/or Greenhouse

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. 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 person
• Personal learning and development budget of 2,000USD per year
• Bi-annual compensation review
• Company recognition rewards
• 40 days annual leave per annum, including public holidays and our All Company holiday periods
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. 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. We are founder-led, profitable, and growing.

Powered by worldwide distributed collaboration since our inception in 2024, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. 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.

First Name

Last Name

Email

Resume/CV*

Attach

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

---

School

Select...

Degree

Select...

Discipline

Select...

---

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.

Select...

Please explain the size and scope of the most significant project you have led in your current role.

Tell us about a relevant project you have lead. Who did you work with and what was the result.

What experience do you have working with career frameworks?

Please tell us what analytical tools, approaches and data platforms you are proficient in (i.e. R, Python, SQL, statistical analysis, BI tools etc) and to what extent/context you have used them in.

Do you have experience with psychometric assessments? If yes please outline the providers.

How did you perform in mathematics at high school?

Select...

How did you perform in your native language at high school?

Select...

Please 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.

In the past ten years, looking only at the time since you graduated your first undergraduate degree, how many companies have you worked for?

Select...

We're focused specifically on the last ten years, and only the portion of that since you left undergrad university. If you graduated three years ago, just count the number of companies you have worked for in those three years. If you graduated 25 years ago, just count the companies in the last ten years.

If you worked for a company which was acquired or renamed, then please count that as one company not two. Don't count any university jobs or internships. If you have your own company or do private contracting work in addition to your employment, please count that as one company.

We require 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?

Select...

Please note that if you require any accommodation for travel that relates to a physical disability, do let us know during your hiring process and we will be happy to discuss your requirements further.

Website

LinkedIn Profile

Please confirm that you have read and agree to Canonical's Recruitment Privacy Notice and Privacy Policy.

Select...

In which country do you currently work?

Select...

Please select your current location from the dropdown.

In which region are you based?

Select...

Which gender do you identify as?

Select...

This information is being requested to help us maintain equal opportunities, best practices and comply with legal requirements. The submission of this information is entirely voluntary. The information you provide will not be used in our decision making and will not subject you to any adverse treatment.

Please indicate your nationality:

Select...

This information is being requested to help us maintain equal opportunities, best practices and comply with legal requirements. The submission of this information is entirely voluntary. The information you provide will not be visible to, or used by, our decision makers, and will not subject you to any adverse treatment.

Please indicate your race or ethnicity:

Select...

This information is being requested to help us maintain equal opportunities, best practices and comply with legal requirements. The submission of this information is entirely voluntary. The information you provide will not be visible to, or used by, our decision makers, and will not subject you to any adverse treatment.