Chief Data Strategist

Há 4 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$100.000 - R$150.000
Data Leadership Opportunity

We are seeking an experienced Head of Data to lead our data strategy, governance, analytics, and AI-driven solutions in Brazil.

As a senior leader, you will oversee data engineering, analytics, data science, machine learning, and data governance, ensuring the delivery of best-in-class digital experiences.

  • Define and execute the local data strategy, aligned with global guidelines but tailored to the specific needs of the Brazilian operation.
  • Build, lead, and mentor a high-performing data team, including data engineers, analysts, data scientists, and machine learning specialists.
  • Design and implement robust data architectures and pipelines capable of processing large-scale, real-time transactional and behavioral data streams generated by online betting platforms.
  • Develop advanced analytics models, predictive models, and AI solutions to support key business functions such as risk management, fraud prevention, customer personalization, marketing optimization, pricing, and responsible gaming.
  • Lead the deployment and continuous improvement of machine learning models in production environments, ensuring scalability, reliability, and ethical AI practices.
  • Ensure full compliance with local data privacy laws (e.g., LGPD) and gaming regulations, working closely with Legal, Compliance, and Risk teams.
  • Champion data governance best practices, including data quality, lineage, cataloging, and security.
  • Partner with commercial, product, marketing, and operations teams to democratize data access and foster a data-driven decision-making culture.
  • Interface with global data and technology teams to ensure alignment, knowledge sharing, and adoption of global platforms and standards.
Requirements:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Economics, or related fields. Master's or MBA is a strong plus.
  • Proven experience (8+ years) in senior data leadership roles, ideally in digital, gaming, fintech, e-commerce, or other data-intensive industries.
  • Strong technical background in data engineering, data architecture, cloud platforms (AWS, GCP, or Azure), and modern data stacks (e.g., Snowflake, Databricks, Airflow, Kafka, DBT).
  • Solid hands-on knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and deployment of AI models into production.
  • Experience leading AI/ML use cases such as recommendation systems, fraud detection, churn prediction, customer segmentation, and dynamic pricing.
  • Excellent understanding of data privacy regulations (LGPD, GDPR) and governance frameworks.
  • Strong business acumen, with the ability to translate business challenges into data solutions.
  • Excellent communication and stakeholder management skills, with fluency in both English and Portuguese.
  • Hands-on, collaborative, and entrepreneurial mindset able to operate in high-growth and highly regulated environments.

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