Data Product Manager

Ford Motor Company

. Support data product development decisions by identifying trends, patterns, synergies, and areas for improvement .

Posted 10/2/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $68,300 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data product development, ensuring data quality and compliance while leveraging analytical skills to identify trends and inform strategic decisions. Proficient in collaborating within agile teams and communicating effectively with diverse stakeholders.

Highest-signal resume keywords

Data EngineeringSQLPythonAgile Development MethodologiesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingData ProcessingData Quality AssuranceData GovernanceTrend AnalysisPattern RecognitionData Product Lifecycle ManagementConnected Vehicle DataMarket Research

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationMeeting Facilitation

Tools & Technologies

Kafka StreamingTerraformAWSAzureGCP

Industry Keywords

Data ScienceData EngineeringEnterprise Data SolutionsAgile Team CollaborationData Compliance Standards

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKafkaPythonSQLTerraform

About the role

Key responsibilities & impact

Support data product development decisions by identifying trends, patterns, synergies, and areas for improvement
Identify opportunities to combine existing data assets into new, high-value enterprise solutions
Collaborate within an agile team with GDIA Analytics Teams, Enterprise Business Requestors, Data Engineers, and other stakeholders
Maintain partnerships across business, data source, and engineering teams
Communicate technical information to technical and non-technical audiences
Apply prioritization principles across all work
Contribute to quarterly planning by developing and maintaining a strategic quarter-over-quarter roadmap
Track delivery against the roadmap and report realized business value to stakeholders and leadership
Ensure data products meet data engineering and compliance standards before release
Ensure data quality and integrity throughout the data product lifecycle
Support established data governance policies and procedures
Track data source and product usage
Leverage market research and competitor analysis to inform data product strategy
Contribute to cross-team project plans by leading validation of scope and complexity
Contribute to the development, implementation, and lifecycle management of reusable foundational data products for Ford’s Enterprise Data Platform

Requirements

What you’ll need

Bachelor's degree in computer science, data science, statistics, or a related field
At least 3 years of experience in data engineering, data science, or data analysis
Proven experience working with large datasets and data processing tools such as SQL, Python, Kafka Streaming, and Terraform
Strong understanding of data warehousing and data modeling concepts
Experience with agile development methodologies
Excellent analytical and problem-solving skills
Ability to work independently and as part of a team
Strong communication and collaboration skills
Ability to write effective agendas and run meetings that drive to decisions and critical follow-up actions
Applied experience with connected vehicle data
Knowledge of cloud-based data platforms such as AWS, Azure, or GCP is a plus
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time