Product Line Program Manager

Ford MotorDearborn, MI
Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. This is a hybrid position whereby the employee will work both from home and from the anticipated worksite. Hence, the employee must live within a reasonable commuting distance from the anticipated worksite.

Requirements

  • Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, Information Systems, Data Science, or Data Analytics or related field and 4 years of experience in the job offered or related occupation.
  • 3 years of experience with transforming raw data into actionable insights by performing basic data analysis, querying data with SQL, and building clear data visualizations.
  • 3 years of experience utilizing data-related technologies and tools including GCP Big Query, GitHub, or Google Cloud Console to build and maintain products and databases.
  • 3 years of experience utilizing project management tools (Jira, Rally, Excel, SharePoint, and Looker dashboards) and methodologies (Agile and Scrum) for applying project organization and task management, timelines, and resources.
  • 3 years of experience facilitating the product lifecycle, defining product requirements, by leveraging knowledge in product development processes including Requirement Gathering, Design creation, Development, Quality Testing, Deployment activities, and Monitoring.
  • 3 years of experience articulating complex information and insights across product teams, senior leadership, and diverse stakeholders to ensure alignment, manage expectations, and drive informed decision-making through proactive and tailored update using Jira and Looker dashboards.
  • 3 years of experience analyzing data by utilizing project management tools including Jira, Rally, SharePoint, Google Cloud Console and Looker dashboards.
  • 1 year of experience leveraging Jira for end-to-end project lifecycle management to monitor, adjust project timelines and roadmaps, and sprint boards to ensure on-time delivery.

Responsibilities

  • Responsible for guiding the strategy, development, implementation, and optimization of data-centric products – both data products and software products (Platform Capabilities) – within the Data Product Engineering (DPE) organization.
  • Responsible for adoption of enterprise-level data products and analytic data platforms and capabilities that empower data-driven decision making across the company.
  • Collaborate with data scientists, portfolio and central data engineers, source data owners and other stakeholders to define requirements, prioritize features, and ensure that the central data product and Data Platform capabilities meet both user needs and business objectives.

Benefits

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.
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