Head Of Data

Head of Data hlpy, born in 2020, is a tech-driven roadside assistance insurance start-up founded by visionaries who saw a gap in the market and redefined the industry with a cutting-edge digital solution What started as a bold idea in Italy quickly expanded to France and Spain, and as of September 2024, we are proud to announce our entry into Germany This marks another milestone in our journey to becoming the go-to solution for modern roadside assistance across Europe— and beyond. We are looking for an experienced Head of Data to lead our data strategy, team, and infrastructure across the organization. This role will be responsible for defining and executing a data vision that enables data-driven decision-making, ensures high data quality, and supports product innovation. The ideal candidate combines strategic thinking with strong technical leadership and a hands‐on understanding of data engineering, analytics, and governance. Responsibilities Define and execute the company's data strategy, ensuring alignment with business goals. Build and lead a high-performing Data team, including data engineers, analysts, and data scientists. Oversee the design and maintenance of scalable data architectures, pipelines, and storage solutions. Ensure data governance, quality, and compliance across all systems and departments and Develop and implement data policies, standards, and best practices. Partner with Product, Engineering, and Business stakeholders to make data a central asset for decision-making and innovation. Oversee data tools and technology selection, ensuring scalability, cost-efficiency, and performance. Monitor key data performance indicators (KPIs) and deliver actionable insights to leadership. Collaborate with executives to identify new opportunities through advanced analytics and AI / ML initiatives. Nice to Have Experience in B2B SaaS, digital product, or data-intensive environments. Exposure to AI / ML initiatives or data monetization strategies. Familiarity with real-time data streaming (Kafka, Kinesis). Contributions to open-source or data communities. Technical & Professional Requirements Strong background in data engineering, analytics, or data science, with experience in leadership roles. Proficiency with modern data stacks: cloud-based platforms (AWS, GCP, Azure), data warehouses (BigQuery, Snowflake, Redshift), and data lakes. Experience with ETL / ELT tools (Airflow, dbt, Spark, etc.) and modern BI tools (Looker, Tableau, Power BI, etc.). Solid understanding of data modeling, architecture, and governance principles. Familiarity with machine learning pipelines, model monitoring, and MLOps practices. Strong technical knowledge of SQL, Python, and relevant data frameworks. Understanding of privacy regulations (GDPR, CCPA) and data security best practices. Education & Experience Degree in Computer Science, Data Science, Engineering, Statistics, or related field (Master's preferred). 8 years of experience in data-related roles, including 3 years in a leadership or management position. Proven track record of scaling data platforms and teams in fast-paced environments. Your Journey in hlpy Our team comprises a wide range of skills and experiences : we constantly encourage all our professionals and collaborators to explore new opportunities for growth and development. We believe that promoting an environment where individuals can experiment and expand their horizons not only increases personal satisfaction but also strengthens our collective success. Please send you CV in English J-18808-Ljbffr