Data Science Manager at Ford Motor Company
Chennai, tamil nadu, India -
Full Time


Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI/ML, Data Science, Data Engineering, Google Cloud Platform, Agile Delivery, Data Modeling, Statistical Analysis, Product Strategy, Backlog Management, Leadership, Communication, Mathematical Programming, Business Intelligence, Stakeholder Management, Product Roadmap, Regulatory Compliance

Industry

Motor Vehicle Manufacturing

Description
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. 
Responsibilities
Lead a cross-functional team to develop AI-driven insights and business intelligence solutions for European vehicle regulatory compliance. Partner with stakeholders to solve complex business problems and drive data-backed strategic decisions.
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