Gerente de Data & Analytics na Clariens, liderando a estratégia de dados e inovação em IA. Promovendo a cultura de dados e segurança na governança de informações.
Responsibilities
Define Strategic Vision: Establish the long-term roadmap for Data & AI, aligning technical initiatives with the company's overarching business objectives;
Architecture and Scalability: Oversee the evolution of platforms (Data, ML, and AI), ensuring architectural decisions that prioritize scalability, security, governance, and cost efficiency;
Democratization and Governance: Structure not only data consumption but corporate data governance, ensuring quality, privacy, and accessibility across the organization;
Drive GenAI and Innovation: Lead the adoption of Generative and predictive AI, identifying high-ROI use cases and ensuring the ethical and responsible use of AI;
Executive Partnership: Act as a strategic partner to the C-level and Directors, translating technical complexity into business value and identifying new revenue streams or operational efficiencies through data;
Promote a data-driven culture across the organization, advancing data literacy, responsible use, and the democratization of data with accountability;
Implement responsible and ethical AI practices, including fairness and Explainable AI (XAI);
Operational Management: Establish monitoring rituals, KPIs, and delivery governance.
KPI Management: Monitor metrics such as accuracy, cost per pipeline, cycle time, and AI ROI;
Process Management: Oversee experimentation flows, reviews, and ML audits;
Project Management: Lead end-to-end AI projects from conception to delivery;
Develop and lead the data and AI governance strategy, ensuring adherence to regulatory standards and industry best practices;
Build, train, and develop the data and AI governance team, including defining roles, responsibilities, routines, and performance indicators for the area;
Serve as the governance focal point for internal stakeholders, promoting the efficient, secure, and responsible use of data and AI models.
Requirements
Knowledge of Data Lake, Data Warehouse, pipelines, MLOps, and cloud platforms (Azure, AWS, GCP)
Experience with visualization tools (Power BI, Tableau), semantic modeling, and business metrics.
Strong experience in data management, BI, AI, and Machine Learning, including end-to-end projects
Knowledge of data architecture (Data Lake, Data Warehouse), pipelines, and cloud platforms (Azure, AWS)
Strong command of quality and privacy policies, LGPD/GDPR, security, and access management.
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