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 Ford's 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&A's 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.
• PhD or Master’s 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.
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Skills Required
- PhD or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a highly quantitative discipline.
- 5+ years progressive experience in advanced analytics, data science, or data engineering with hands-on exposure to cloud-native platforms.
- Proven experience leading and mentoring technical teams and communicating complex mathematical concepts to senior non-technical executives.
- Deep conceptual and practical understanding of statistical analysis, predictive modeling, and machine learning methodologies.
- Experience designing and delivering scalable, cloud-native (GCP) analytics products compliant with enterprise data standards and security guidelines.
- Strong leadership skills within a Product Driven Operating Model (Agile/PDO) with ability to define strategic roadmaps and align cross-functional stakeholders.
- Excellent oral, written, and interpersonal communication skills in English.
- Comfortable working with fluid requirements and managing strategic ambiguity.
- GCP experience.
- 3+ years direct supervisory experience managing technical data science or engineering teams.
- 3+ years delivering predictive analytics 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, capable of driving organizational change in a global matrix setup.
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Pay Growth & Progression — The 2023 UAW–Ford agreement delivered immediate raises, restored cost-of-living adjustments, and accelerated progression to top rates for many hourly roles. These changes improved earnings trajectories compared with pre-2023 levels.
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Healthcare Strength — Hourly employees retained very low employee cost-sharing under the 2023–2028 UAW–Ford agreement, and salaried materials describe comprehensive day‑one medical, dental, and prescription coverage. Mental-health support and family‑building benefits add depth to the overall health package.
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Retirement Support — U.S. salaried roles feature a notable 401(k) contribution and match structure, and post‑2023 updates increased retirement contributions for many UAW‑represented employees. Together these elements strengthen long‑term financial security.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
