
Sr Data
Há 3 dias
You will lead talented multidisciplinary teams — including data engineers, machine learning engineers, AI specialists, and platform architects — fostering a culture of technical excellence, collaboration, and continuous learning. Working closely with key stakeholders across business and product, you will translate needs into cutting-edge solutions that deliver measurable business value.
At Shape, you will play a central role in bringing our data and AI product vision to life, building foundational platforms and teams that drive genuine transformation in the industrial sector. If you are passionate about leading world-class engineering teams, creating disruptive products, and shaping the future through data and AI, we want to hear from you.
**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 Shape's 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 Shape's 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.
**Differentiators**:
- Technical Expertise: Experience with Edge AI/IoT solutions (relevant for industry), 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.
**Benefits**:
- **PPR (Profit Sharing)**:Possibility of extra compensation based on the company's results, according to your performance.
- **Health and Dental Plan**: To ensure your care and well-being
- **Flexible Benefit**: Receive an amount that can be used according to your needs, including food, transportation, education, culture, and health. You decide how to use it
- **Flexible Hours**: Work at the best time for you and have a better quality of life.
- **Massages and Manicure in the Office**: So you can relax and feel good about yourself.
- **Mentorship Program**: Access development opportunities with the help of experienced professionals.
- **Gympass**: To keep your health in check and take care of your body.
- **Snacks in the Office**: Because everyone loves a snack at work
- **Inclusive Environment**: We value diversity and always strive to create a space where everyone can be authentic, respected, and feel part of something bigger.
- **Day off in Your Birthday Month**: A day off in your birthday month to celebrate in any
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