5 дней назад
Data Product Manager
115 000 - 192 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Product Manager (Data Engineering/Automotive): Developing and managing reusable foundational data products for Ford’s Enterprise Data Platform with an accent on data quality, governance, and enterprise analytics. Focus on building strategic roadmaps, translating business requirements into data product strategies, and coordinating delivery across data engineering, analytics, software engineering, and business stakeholders.
Location: Dearborn, Michigan, United States; hybrid with onsite attendance required four or more days per week.
Salary: $115,000–$192,900 per year.
Company
Motor Company is an automotive company developing vehicles and mobility solutions supported by enterprise data, analytics, and engineering capabilities.
What you will do
- Contribute to the development, implementation, and lifecycle management of reusable foundational data products for the Enterprise Data Platform.
- Identify trends, data synergies, improvement areas, and opportunities to combine existing data assets into high-value enterprise solutions.
- Collaborate with analytics, data engineering, software engineering, Central Engineering, business requestors, and other stakeholders in an agile environment.
- Develop and maintain strategic quarter-over-quarter roadmaps, track delivery, and report realized business value.
- Ensure data products meet engineering standards and maintain data quality, integrity, governance, and usage tracking.
- Use market research and competitor analysis to inform data product strategy.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or an equivalent field; a master’s degree is preferred.
- At least 3 years of experience in data engineering or an equivalent role.
- Working knowledge or experience in quality, manufacturing, and product development.
- Must be legally authorized to work in the United States.
- Visa sponsorship is not available for this position.
- Hybrid onsite attendance is required four or more days per week.
Nice to have
- Experience owning data products, platforms, or analytics solutions from concept through launch and ongoing enhancement.
- Knowledge of data architecture, data pipelines, APIs, data models, and modern cloud data platforms.
- Experience translating business problems and data requirements into product strategies, roadmaps, and user stories.
- Experience defining and tracking data quality, adoption, performance, and business outcome metrics.
Culture & Benefits
- Medical, dental, vision, and prescription drug coverage.
- Paid parental leave, family care support, backup childcare, and family-building benefits.
- Vehicle discount programs and management leases.
- Tuition assistance and employee resource groups.
- Paid time off, paid community service, paid holidays, and the option to purchase additional vacation time.
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