Data Science Specialist / Product Owner at Ford Motor Company
Dearborn, MI 48126, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Christmas, Adoption

Industry

Information Technology/IT

Description

In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data, AI and Gen 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 NA Compliance Reporting Analytics 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 Product Owner of NA Compliance Reporting Analytics in the GDI&A Strategy & Enterprise Analytics (SEA) team, you will lead a cross-functional team to deliver 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
  • 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
  • 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
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