Principal Product Manager, Core Data Systems

Ford Motor Company

Principal Product Manager leading data strategy for Ford's state-of-the-art manufacturing technology. Overseeing data products and collaboration across engineering and operations teams.

Posted 5/22/2026full-timeDearborn • Missouri • 🇺🇸 United StatesLead💰 $138,240 - $261,720 per yearWebsite

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Define the vision and roadmap for ATP’s core data systems products, aligned to business outcomes and platform scalability.
Build and evolve data products such as: Robotics telemetry and event datasets (health, faults, tasks, utilization), Fleet and site performance datasets and metrics layers, Vision datasets (images/video) with metadata, labeling workflows, and training-ready packaging, APIs and curated datasets that enable analytics and ML teams to move faster, Contextualization of data from the shopfloor and analytics.
Partner with engineering, data science, and operations to define requirements for data quality, latency, reliability, and cost—especially for high-volume image/video data.
Drive standardization across systems and suppliers by defining schemas and data contracts that work across sites and robotics platforms.
Establish a clear approach to data access and governance across OT and IT environments (security, privacy, retention, auditability).
Measure adoption and impact—tracking product usage, data quality and availability, and operational outcomes enabled by your data products.
Lead cross-functional alignment and decision-making across manufacturing/operations, engineering, cybersecurity, IT, and key partners—without needing formal people leadership.

Requirements

What you’ll need

Bachelor’s degree in Engineering (Electrical, Mechanical OR Industrial preferred) OR a similar field (Physics, Computer Science, etc.)
10+ years of experience in product management and/or building data products at scale.
Track record delivering data products or platform capabilities used by multiple teams (not one-off dashboards).
Strong understanding of data product fundamentals: event data, batch vs streaming, data modeling, metadata/lineage, and data quality/observability.
Ability to translate complex, ambiguous problems into clear priorities, requirements, and measurable outcomes.
Strong communication and stakeholder leadership skills, including comfort working with both executives and technical teams.
Master’s degree or MBA (even better).
Experience with robotics, automation, or industrial telemetry data (uptime, MTTR, utilization, task success).
Experience building products for vision/ML data (image/video pipelines, labeling workflows, dataset quality and versioning).
Experience bridging OT and IT environments, including edge constraints and secure data movement.
Familiarity with governance and security patterns (RBAC/ABAC, encryption, retention, audit controls) in enterprise settings.
Experience enabling ML teams through well-designed data interfaces, training data practices, or MLOps-adjacent workflows.

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 and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data product managementdata modelingmetadata managementdata qualitydata observabilityimage processingvideo processingMLOpsevent databatch processing

Soft Skills

communicationstakeholder leadershipproblem-solvingcross-functional alignmentdecision-makingprioritizationrequirements gatheringmeasurable outcomesadaptabilitycollaboration

Certifications

Bachelor’s degree in EngineeringMaster’s degreeMBA