Data Product Manager

Job Title:- Data Product Manager

Interview :- Ford does a video phone interview first round and some managers have been asking for ftf for second round

Location:- Dearbon, MI (4Days Hybrid)

Duration:- 12-month contract

Ford Motor is looking for a Data Product Manager. Local Michigan or Ohio (those that are likely to move) candidates preferred and looked at first so focus on these locations

First interview is video and second some managers ask for face to face

I need the years experience with each highlighted skills if you have a candidate interested. Manager also wants a summary on why they feel they are a good fit.

Ford Motor Company

Data Product Manager #1058198

Location: Dearborn, Michigan 4x a week on site

Position Description:

We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals.  

Key Responsibilities:

·       Define and own the vision, strategy, roadmap, and lifecycle of data products.

·       Partner with business stakeholders to understand data needs and translate them into product requirements.

·       Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms.

·       Prioritize features, enhancements, and technical investments based on business value and customer impact.

·       Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes.

·       Drive data governance, metadata management, data quality, and compliance initiatives

·       Develop user stories, acceptance criteria, and product backlogs.

·       Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery.

·       Gather feedback from users and stakeholders to continuously improve data products.

·       Communicate product strategy, progress, and outcomes to leadership and stakeholders.

·       Ensure data products support scalability, security, reliability, and regulatory requirements.

Required Qualifications:

·       Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field.

·       5+ years of Product Management, Data Management, Business Intelligence, Analytics, or related experience.

·       Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms.

·       Experience working with Agile methodologies and product management frameworks.

·       Ability to translate complex technical concepts into business value.

·       Strong stakeholder management, communication, and leadership skills.

·       Experience defining KPIs, product metrics, and business cases.

Technical Skills:

·       Data Product Management

·       Data Warehousing & Data Lakes

·       Data Modeling * SQL & Analytics

·       Data Governance & Quality

·       Cloud Data Platforms

·       Agile/Scrum

·       KPI & Metrics Development

·       API and Data Services Management

·       Stakeholder Management Success Metrics

·       Data product adoption and user satisfaction

·       Data quality and reliability improvements

·       Reduction in data delivery lead times

·       Business value generated through analytics and insights

·       Stakeholder satisfaction and engagement

·       Achievement of roadmap milestones and product objectives

Typical Data Products:

·       Enterprise data platforms

·       Customer 360 solutions

·       Product analytics datasets

·       Operational dashboards and reporting systems

·       Machine learning feature stores

·       Data APIs and self-service analytics platforms

Skills Required:

·       Data Management

Preferred Qualifications:

·       Master’s degree in Business, Data Science, Analytics, or a related field.

·       Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google.

·       Familiarity with SQL, Python, data visualization tools, and modern data architectures.

·       Experience with data governance, master data management, and data catalog solutions.

·       Experience leading enterprise-scale data transformation initiatives.

Skills Preferred:

·       Product Management

Education Required:

·       Bachelor''s Degree