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