Data Science Manager

In Global Data Insight & Analytics (GDI&A), we aim to guide Ford Motor Company through the complexities of the information age. We harness the power of data, analytics, and AI to help the business tackle the right problems and achieve quantifiable outcomes.

As a European compliance product team lead in the GDI&A Strategy & Enterprise Analytics (SEA) team, you will lead a cross-functional team to utilise the latest tools and methods in AI/ML, data science, and analytics to enable business intelligence and data-driven decisions.

Responsibilities

• Manage a PDO team, including software engineers, tech anchors, data scientists, and more.
• Collaborate with key stakeholders to understand business opportunities and translate ideas into data-driven analytics solutions.
• Prioritise and optimise resource allocation based on business impact, and clearly communicate product strategy and vision to stakeholders.
• Establish and maintain demand management processes and integrate with other teams.
• Guide the product team to iteratively develop quick, customer-centric solutions.
• Leverage domain expertise, statistical analysis, and AI/ML modelling to optimise processes, ensure timely value delivery, and proactively improve quality and efficiency.
• Provide technical guidance on high-quality work and best practices.
• Support team growth, talent acquisition, and foster a diverse and inclusive environment.

Qualifications

• Master's degree in a quantitative field, such as Data Science, Engineering, Statistics, Mathematics, Computer Science, or related fields.
• Experience with progressive responsibilities in Data Engineering, IT, and Agile delivery.
• Experience in data modelling, mathematical programming, AI/ML, and statistical analysis.
• Experience deploying products in Google Cloud Platform or equivalent.
• Experience defining product vision, strategy, product roadmaps, and creating and managing backlogs.
• Comfortable working in an environment where problems are not always well-defined.
• Strong leadership and communication skills, ability to engage with all levels, and ability to teach and influence others.
• Well-organised, independent, and ready to work with minimal supervision.
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Desire to excel and work with talented people.