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Data Science Manager GDI&A – EU Sales, CO2 & Sustainability

Ford Motor


Job Location:

Budapest - Hungary

Monthly Salary: Not provided by the employer
Posted: 6 August 2026 (29 days ago)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

Description

We are looking for a Data Science Manager GDI&A -EU Sales CO2 & Sustainability to join us in our Budapest XIII. Váci Greens office.

The Data Science Manager GDI&A will lead a cross-functional Product Driven Organization (PDO) team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain. This role bridges the gap between complex statistical modeling cloud architecture and strategic senior executive decision-making. Operating as a critical partner in the European GDI&A team and to European business leads you will drive the end-to-end vision roadmap and delivery of high-impact AI/ML solutions that protect Fords European CO2 compliance and optimize vehicle margins. You will work directly with Product Managers Technical Program Managers data engineers and data scientists in and outside GDI&A to deliver scalable systems that power business operations in a fast-paced environment.



Responsibilities

Lead coach and mentor a multi-disciplinary technical team of data scientists and data engineers establishing a high-performance delivery culture aligned with GDI&As objectives.
Define and communicate the long-term product vision technical roadmaps and strategic priorities for the EU CO2 and sustainability analytics portfolio.
Drive the design and delivery of scalable cloud-native (GCP) analytics products in compliance with enterprise data standards quality controls and security guidelines.
Provide senior technical guidance on statistical modeling mathematical optimization and machine learning pipeline integration to support regulatory compliance forecasting.
Partner with senior European business leaders and global technology groups to translate complex regulatory requirements and analytical outputs into actionable commercial insights.
Manage demand team capacity and product line resource allocation resolving cross-functional dependencies and technical blockers.
Author and maintain high-level technical documentation strategy papers and governance guidelines to ensure long-term product integrity.



Qualifications

PhD or Masters degree in Data Science Statistics Computer Science Engineering or a highly quantitative discipline.
5 years of progressive experience in advanced analytics data science or data engineering with hands-on exposure to cloud-native platforms (GCP preferred).
Proven experience in leading and mentoring technical teams with a track record of translating complex mathematical concepts for non-technical senior executives.
Deep conceptual and practical understanding of statistical analysis predictive modeling and machine learning methodologies.
Strong leadership skills within a Product Driven Operating Model (Agile/PDO) with the ability to define strategic roadmaps and align cross-functional stakeholders.
Excellent oral written and interpersonal communication skills in English.
Highly comfortable working with fluid requirements and managing strategic ambiguity.


Preferred requirements:
3 years of direct supervisory experience managing technical data science or engineering teams.
3 years of experience delivering predictive analytics solutions in vehicle sales regulatory compliance CO2 fleet management or environmental sustainability.
Experience integrating data products with CI/CD pipelines and enterprise-level database architectures.
Inquisitive self-driven and capable of driving organizational change in a global matrix setup.

What we offer:
Being part of a fully supportive collaborative and international team - Hungary Germany UK and India
Working in an environmentally friendly and well-equipped office in the XIII. district of Budapest
Hybrid working model - 4 office days required
Competitive compensation with annual bonus and benefits package including a company car etc.

Please note that we currently run background checks as part of our recruitment process pending a successful interview.

#LI-FordHungary
#LI-GG1




Required Experience:

Manager


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