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 your CV in English

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