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Kenlo

Data Manager – Head of Data & AI

Kenlo

Head de Dados & IA liderando equipes de dados e promovendo evolução técnica na Kenlo. Estruturando e evoluindo frentes de dados para decisões estratégicas alinhadas ao negócio.

Posted 4/24/2026full-timeCampinas • 🇧🇷 BrazilLeadWebsite

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Lead and develop Analytics, Data Science, and Data Engineering teams, fostering technical growth and people development.
  • Establish rituals, processes, and a culture of high performance, collaboration, and accountability.
  • Serve as a reference for leadership and stakeholders, connecting business needs to the team's deliverables.
  • Define and evolve Kenlo's data strategy, aligned with business objectives.
  • Ensure data is used in a structured way to support strategic and operational decisions.
  • Identify opportunities to use data to improve efficiency, generate revenue, and enhance customer experience.
  • Lead the design and evolution of the data architecture, ensuring scalability, reliability, and performance.
  • Define best practices for data engineering, governance, quality, and information security.
  • Ensure efficient integration across the company's various data sources and systems.
  • Structure and advance the Analytics function, promoting the generation of actionable insights.
  • Drive Data Science and Artificial Intelligence initiatives applied to the business.
  • Ensure that models, analyses, and metrics are connected to real business impact.
  • Define and track success metrics for the data teams.
  • Prioritize initiatives based on impact and feasibility.
  • Ensure consistent, high-quality deliveries aligned with business needs.

Requirements

What you’ll need
  • Strong experience leading data teams (Analytics, Data Engineering, and/or Data Science).
  • Experience defining and executing data strategies in complex environments.
  • Strong ability to connect technology, data, and business.
  • Experience with data architecture, pipelines, and analytics platforms.
  • Experience with cloud environments (GCP, AWS, or similar).
  • Ability to influence stakeholders and lead strategic decisions.
  • Experience in people management, talent development, and team building.
  • Advanced English.

Benefits

Comp & perks
  • We believe in ownership of your career and create an environment that encourages continuous learning, development, and knowledge sharing. Here you will have development initiatives, frequent feedback, evaluation cycles, and practices that support team growth.

ATS Keywords

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Hard Skills & Tools
data architecturedata engineeringdata scienceanalyticsdata pipelinesdata governanceinformation securityartificial intelligencedata strategysuccess metrics
Soft Skills
leadershippeople managementtalent developmentteam buildinginfluencing stakeholderscollaborationaccountabilitycommunicationstrategic decision makinghigh performance culture