Manager, People Analytics

Canonical · EMEA, LATAM, Canada, USARemotosenior

En corto

▸Liderazgo de un equipo multidisciplinario que construye productos de datos para personas.
▸Desarrolla herramientas predictivas y prescriptivas con IA para decisiones estratégicas en RRHH.
▸Traduce datos complejos en historias y productos que impulsan la innovación en el trabajo.

Business level written and spoken English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Formación en ciencias de datos, matemáticas o ingeniería.
✓Experiencia en programación (Python, R, JavaScript, etc.) y bases de datos (SQL).
✓Habilidades en visualización de datos (Superset, Tableau) y automatización.
✓Capacidad para traducir preguntas de negocio en objetivos de investigación.
✓Experiencia liderando equipos y mentorando a profesionales técnicos.
✓Inglés avanzado (escrito y hablado) para comunicación global.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonRJavaScriptSQLSupersetTableauAirbyteRangerTemporalTrino

¿A quién escribirle en Canonical?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next. This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. , sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support. Location: This is a remote role based in the AMER or EMEA Region. The role entails Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad. Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code. , predicting attrition risk based on "Time-Product" engagement data). Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services. Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value. What we are looking for in you Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering. g. Superset, Tableau), and automation. Ability to translate business questions to key research objectives. Ability to identify the best methodology to execute research, synthesize and analyze findings. Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset. Willingness to examine the status quo and be resilient in the face of challenges. Ambition to build tomorrow's AI/Data stack in open source. An exceptional academic track record from high school and university. Business level written and spoken English. 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.

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