Data Science Manager - Product & Analytics Leadership
Ford Motor
Work from Office
Full Time
Min. 3 yearsJob Description
Data Science Manager
In Global Data Insight & Analytics (GDI&A), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data, analytics and AI to help the business address the right problem, deliver business- and user-focused objectives with nimble execution and close the loop with quantifiable business outcomes.
Strategic investment in data analytics and AI is critical for Ford to effectively navigate the complex European compliance challenges and opportunities. This capability is fundamental to successfully launching digital products and features in the vehicle regulatory compliance space, ensuring Ford complies with the laws & requirements and achieves its sustainability goals. The Strategy & Enterprise Analytics team delivers these solutions to achieve enterprise goals, reveal hidden opportunities, and establish data superiority.
As a European compliance product team lead in the GDI&A Strategy & Enterprise Analytics (SEA) team, you will lead a cross-functional, multi-skillset team to utilize the latest tools and methods in AI/ML, data science & analytics to enable business intelligence, data-driven decisions, and solve a variety of business problems.
Manage a PDO team, including software engineers, tech anchor, data scientist, etc.
Partner with key stakeholders to understand the business opportunities and translate high-level ideas into data-driven analytics solutions
Manage prioritization and optimize resource allocation based on business impacts. Clearly communicate product strategy and vision to stakeholders
Establish and maintain demand management processes and integration with other teams
Guiding the product team to iteratively develop quick, customer centric solutions
Leverage domain expertise, statistical analysis and AI/ML modeling to optimize the process, ensure timely value delivery, and proactively improve quality and efficiency
Providing technical guidance on high quality of work and best practices
Supporting team growth, talent acquisition, fostering a diverse and inclusive environment
You'll have...
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 modeling, mathematical programming, AI/ML and statistical analysis
Experience in 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-organized, independent, and ready to work with minimal supervision
Inquisitive, proactive, and interested in learning new tools and techniques
Have a desire to excel and work with talented people
Even better, you may have...
3+ years of experience in Google Cloud Platform (GCP)
3+ years of experience with Product Driven Operating Model or Agile Product Development Process, including experience with Data Engineering, IT, and Agile delivery
Proven experience with developing digital products/solutions to support analytic applications in Ford’s data ecosystem
3+ years of domain experience in delivering analytics solutions in vehicle regulatory compliance
2+ years of supervisory experience
Experience Level
Mid LevelJob role
Job requirements
About company
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