Data Product Manager – Enterprise Data Platform

Ford Global Career Site

Dearborn (MI)

Hybrid

USD 115,000 - 193,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision, prescription
Flexible family care days
Vehicle discount program
Tuition assistance
Paid time off
Paid holidays
Community service leave

Job summary

Ford Motor Company is seeking a Data Product Management Analyst to drive strategic thinking for the Enterprise Data Platform (EDP) and contribute to the lifecycle management of reusable data products. You will work with Global Data Insight & Analytics teams and various stakeholders to translate business needs into technical solutions and prioritize opportunities for the enterprise.

The role emphasizes collaboration across Data Engineering, Data Science, software engineering, and analytics, with

Qualifications

  • Bachelor’s degree in Engineering, Computer Science or equivalent.
  • Minimum 3 years experience in a Data Engineering or equivalent role.
  • Demonstrated working knowledge of quality, manufacturing and product development.

Responsibilities

  • Support data product development decisions, identifying trends and opportunities for value.
  • Collaborate in an agile team with data engineers, analytics teams and stakeholders.
  • Build partnerships across business, data sources and engineering teams.
  • Communicate technical information to both technical and non-technical audiences.
  • Contribute to quarterly planning and maintain a strategic roadmap.

Skills

Data engineering

Education

Bachelor’s degree in engineering or computer science
Master’s degree preferred

Tools

APIs
Cloud data platforms

Job description

Ford Motor Company is seeking a Data Product Management Analyst to drive strategic thinking for the Enterprise Data Platform (EDP) and contribute to the lifecycle management of reusable data products. You will work with Global Data Insight & Analytics teams and various stakeholders to translate business needs into technical solutions and prioritize opportunities for the enterprise.

The role emphasizes collaboration across Data Engineering, Data Science, software engineering, and analytics, with

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