Head of Data
Mexico City, Mexico City, Mexico
Platzi
Únete hoy a Platzi, la plataforma líder de educación en línea. Aprende las habilidades más demandadas de la industria digital.Platzi is the largest technology school in the Hispanic world with over 5 million students and 4,000 companies trusting us to deliver effective online education. Our mission is to make Latin America a technology superpower. We do it by training companies and individuals in areas such as AI, Cybersecurity, English, Programming and Leadership.
As an industry leader, our presence is highlighted by our massive and fanatic community, extensive press coverage and a daily stream of success stories from students. We operate mostly hybrid, with key offices in Bogotá, Medellín and Mexico City.
What we’re looking for
We're searching for a Head of Data to lead our advanced analytics and machine learning initiatives. This role is tailored for a strategic leader skilled in transforming complex data into actionable business insights. The successful candidate will mentor a dynamic team, drive data-centric strategies, and uphold our commitment to data-driven decision making at all organizational levels.
Requirements
What you’ll be doing
- Building and Leading a Data Organization: Develop and manage a comprehensive data organization that encompasses Data Science, Data Analytics, and Data Engineering teams.
- Data Science Leadership: Direct a team of data scientists to create advanced models for predictive analytics and machine learning, tackling key issues such as demand forecasting and task prioritization based on economic impact.
- Proactive Data Insights: Generate strategic insights by closely monitoring user engagement and performance data, influencing product development and operational strategies.
- Empowering Self-Service: Facilitate a culture of data-driven decision making by empowering technical product managers and engineers with self-service analytics tools to independently extract and analyze data.
- Data Analytics Management: Oversee a dynamic team of data analysts working collaboratively with product management and engineering to provide critical support in experiment analysis and insights dissemination.
- Advanced Dashboarding: Enhance and refine key operational dashboards to improve accessibility and usability, providing critical data at a glance to support daily business decisions.
- Strategic Advisory: Serve as a principal data consultant to the executive team, utilizing data-driven insights to guide strategic decisions and highlight performance drivers.
- Communication and Storytelling: Utilize exceptional communication skills to articulate complex data insights through compelling stories and presentations that resonate with all stakeholders.
Who you are
- +6 years in Data Analytics, Business Intelligence or Data Science, including a minimum of 3 years in a leadership role within a high-growth, startup environment.
- Expertise in advanced analytics and data reporting, with a keen ability to distill complex datasets into meaningful business decisions.
- Demonstrated capability to build, mentor, and lead high-performing data teams in a dynamic, outcome-focused tech environment.
- Exceptional leadership and stakeholder management abilities, with a focus on nurturing team growth and aligning data initiatives with business goals.
- Proven ability to effectively communicate complex data concepts and recommendations to senior management, ensuring clarity and actionable insights.
- Extensive background in formulating data strategies and managing data operations efficiently.
- Comprehensive knowledge of data architecture, including Data Warehousing, ETL processes, and Data Integration.
- English level: B2 or above.
- Plus: Advanced familiarity with our tech stack (BigQuery, Looker, Airbyte, and dbt).
- Plus: Extensive background in data governance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture BigQuery Business Intelligence Data Analytics Data governance DataOps Data Warehousing dbt Engineering ETL Looker Machine Learning
Perks/benefits: Career development Startup environment
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