Master's or PhD in Machine Learning, Mathematics, Computer Science or related field
Over 8 years of leadership experience in data science
Strong knowledge of data processing, modeling, algorithms and data architecture
Track record of managing teams and delivering large-scale data projects
Excellent communication and interpersonal skills
Qualification wording
A Master’s or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field.
Over 8 years of experience in leadership roles within data science
Exceptional knowledge of data processing, data modeling, algorithms, and data architecture
hands-on experience in managing large-scale projects
Excellent communication and interpersonal skills
Education & alternatives
Qualifications: Education & experience required
- A Master’s or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field.
- Over 8 years of experience in leadership roles within data science, demonstrating a proven track record of managing teams and delivering impactful data-driven solutions.
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
213
Last seen by us
Nov 5, 2026
Apr 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
754
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past Artefact’s usual: its jobs come down by about day 36.
From 8,098 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.
Artefact is hiring
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
AWS
Azure
BigQuery
Airflow
Flask
GCP
Google Cloud Storage
Where the posting names them
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- Web application (R-Shiny, Python Flask) that you have industrialized
What we are looking for
In addition, you have the knowledge in one or more of the following technologies:
- Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
- You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
- Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)
- ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)
- Web application (R-Shiny, Python Flask) that you have industrialized
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Artefact is a new generation of a data service provider, specialised in data consulting and data-driven digital marketing.
Our purpose?
Every day we boost our clients’ data transformation into business impact across the entire value chain of organisations.
Our strength?
Our data services stand on a double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan...
Artefact’s success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts.
Artefact is :
13 offices in Paris, London, Shanghai, Dubai...
900 employees
4 practices: Data Consulting, Data Marketing, Activation and Creation
What you will be doing: Key responsibilities
As a Data Director, your role will encompass:
Strategic Leadership and Management
Lead and expand the data science team, ensuring alignment with the company's strategic objectives.
Develop and oversee the execution of ambitious data transformation projects, ensuring they meet client needs and business goals.
Drive collaboration across different divisions—such as Activation, Creativity, and Strategy—to deliver comprehensive, integrated solutions that enhance client satisfaction and service delivery.
Client Engagement and Relationship Management
Build and maintain senior-level relationships with clients, becoming a trusted advisor for their data strategy and transformation efforts.
Regularly present insights and strategic recommendations to clients and internal stakeholders, showcasing the value and impact of data-driven decision-making.
Operational Excellence and Innovation
Ensure the successful delivery of data projects, setting high standards for timeliness and quality.
Spearhead the adoption of cutting-edge data science and data engineering technologies, methodologies, and practices.
Promote a culture of continuous improvement and learning within the data science team, encouraging innovation and experimentation.
Team Development and Thought Leadership
Mentor and develop team members, fostering a collaborative and empowering environment.
Act as a thought leader in data science, contributing to the broader data science community and enhancing Artefact's reputation in the industry.
Ensure the team’s technical capabilities align with industry standards and emerging technologies, facilitating ongoing professional development and training.
Qualifications: Education & experience required
A Master’s or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field.
Over 8 years of experience in leadership roles within data science, demonstrating a proven track record of managing teams and delivering impactful data-driven solutions.
Exceptional knowledge of data processing, data modeling, algorithms, and data architecture, with hands-on experience in managing large-scale projects.
Strong leadership skills, with the ability to inspire, motivate, and guide team members towards achieving business and personal growth goals.
Excellent communication and interpersonal skills, capable of engaging effectively with all levels of the organization and external clients.
In addition, you have the knowledge in one or more of the following technologies:
Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)