Data & Analytics Manager

🕒 March 18

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Clariens

Clariens

WebsiteLinkedIn

501 - 1000 employees

Founded 2022

📚 Education

Education

Clariens is a Brazil-based higher education group focused on medical education since 2022, delivering undergraduate medical degrees, postgraduate programs and medical residencies with strong practical, hands-on clinical training, simulation labs and partnerships with public and private hospitals. The group operates multiple institutions and a clinic-school offering free, humanistic patient care while emphasizing innovation, ethical formation and impact on public health.

📋 Description

• 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.

🏖️ Benefits

• Health insurance • Dental insurance • Parking • Profit-sharing (PLR) • Food allowance • Meal allowance • Transportation allowance • WellHub (Gympass) • Life insurance

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