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Senior Data Architect

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil beBeeData Tempo inteiro R$120.000 - R$180.000
Job Overview
The company is seeking a highly skilled Senior Data and AI Engineering Manager to lead the development of its data and artificial intelligence strategy. This pivotal role will require technical vision and expertise, guiding the development and deployment of scalable, secure, and innovative data and AI products aligned with the company's business goals and product vision.

About the Role
This leadership position involves bringing technical expertise and guiding multidisciplinary teams in building robust internal platforms, APIs, and data/ML products with a focus on quality, security, and reliability. The manager will oversee the definition and execution of the overall data and AI strategy, directly supporting the company's industrial product vision and roadmap.

Key Responsibilities
- Define and execute the overall data and AI strategy, directly supporting the company's industrial product vision and roadmap.
- Architect and oversee end-to-end development of data and AI platforms, ensuring scalability, security, and modularity.
- Lead, mentor, and retain high-performing teams, promoting a culture of innovation, ownership, and technical rigor.
- Implement and enforce best practices for data governance, quality, privacy, compliance, and responsible AI aligned with industry regulations.
- Manage budget and resource planning, hiring, and professional development for the data & AI organization.
- Cultivate strategic partnerships, evaluate third-party technologies, and lead platform evolution, integrating the latest advances in AI/ML, cloud, and data engineering.
- Champion a data-driven mindset, empowering all functions to leverage AI for informed decision-making.
- Establish and track KPIs to measure the business impact of data and AI solutions.
- Oversee the documentation, protection, and management of intellectual property developed by the team.
- Stay ahead of technology trends, bringing GenAI, cutting-edge automation, and new approaches to the product stack.

Requirements
- Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field.
- Solid experience in technical leadership of end-to-end data, AI, and ML projects, including managing multidisciplinary engineering teams.
- Proven hands-on expertise in Python, software engineering, cloud platforms (AWS, Azure, GCP), data architecture, and scalable data pipelines.
- Deep familiarity with AI/ML frameworks and tools (Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc.), MLOps best practices, and platform development.
- Track record in building robust internal platforms, APIs, and data/ML products with a focus on quality, security, and reliability.
- Experience implementing governance, privacy, and compliance standards, with a strong commitment to ethical and explainable AI.
- Strategic planning, project portfolio management, and the ability to influence both technical and non-technical audiences.
- Excellent communication and stakeholder management skills.
- Fluent English.

Benefits
- Possible extra compensation based on company results.
- A comprehensive health and dental plan.
- A flexible benefit plan to support personal needs.
- A flexible work schedule to promote work-life balance.
- Massage and manicure services in the office.
- A mentorship program for professional development.
- Gympass for maintaining physical and mental well-being.
- Snacks available in the office.
- An inclusive work environment that values diversity.
- A day off during your birthday month.

Differentiators
- Technical Expertise: Experience with Edge AI/IoT solutions, knowledge graphs and ontologies, computer vision, and predictive maintenance or advanced time series analysis.
- Business Relevance: Background in industrial or B2B data-driven products.
- Innovation: Participation in open innovation, patenting, or contributions to the data/AI community.
- Change Management: Leading organizational AI/analytics adoption in complex environments.