.- Head of Data & Analytics Technology | Sonae DataHead of Data & Analytics Technology | Sonae DataTo join ourSonae Data Team at theHolding Office, we are currently looking for a:Head of Data & Analytics TechnologySonae Data is a brand-new unit within the Sonae group, bringing together data from across the group's diverse businesses—think supermarkets, electronics, financial services, telecom, shopping centers, and digital platforms.
The goal?
To turn this data into valuable products and services, first for the group's own companies, and later for the broader digital and AI-driven market.We're looking for a Head of Analytics & Data Technology to help lead in this journey by designing and delivering the best enabling technology stack.
You'll work closely with the Head of Data & Analytics and your team to build everything from the ground up—shaping the vision for data products, leading the technology team, and generation the technical framework for turning business challenges into scalable, impactful solutions.The ideal candidate combines a deep expertise in analytics technology and data platforms, machine learning engineering, AI integration and enabling the data-product life-cycle with real business sense and excellent storytelling skills.Core Responsibilities:Strategic Leadership & VisionDefine and drive the overall data and analytics technology strategy, ensuring alignment with Sonae Data's mission and the group's broader business objectives.Champion a data-driven culture and evangelize best practices in data engineering, analytics, and AI across all group companies.Design and implement scalable data architectures to handle large volumes of structured and unstructured data from multiple business units.Oversee the integration of diverse data sources, ensuring robust data quality, privacy, and compliance with relevant regulations.Analytics & AI EnablementEstablish advanced analytics capabilities, including machine learning, predictive modeling, and AI frameworks, to unlock insights and create data-driven products.Explore and implement solutions for secure data sharing and monetization, including APIs and connectors for external and internal consumption.Recruit, mentor, and manage a cross-functional team of data engineers, data scientists, machine learning engineers, and data product managers.Foster a collaborative environment that encourages innovation, continuous learning, and knowledge sharing.Data Product Development- Work with stakeholders to identify opportunities for new data products and services, prioritizing based on market potential and strategic fit.- Oversee the end-to-end lifecycle of data product development—from ideation to deployment—ensuring timely and high-quality delivery.Governance & Compliance- Develop and enforce data governance frameworks and best practices to ensure data security, quality, and compliance with privacy regulations