Cloud Storage Product Jobs

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Data Platform Product Manager

Ford Motor Company Dearborn, MI

Dearborn, MI

Today

$100k - $193k/yr Full time Cloud Platform Cloud Run Cloud Storage

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Job Description

Lead the strategy, development, and roadmap for Ford's Data Platform Engineering products, including Data Catalog, Data Product Creation, and Metadata Management, driving governance, discoverability, and AI-ready data assets across cloud and enterprise ecosystems.

Responsibilities

Define and execute the vision and roadmap for Data Platform Engineering products, aligning with Ford's broader data and analytics strategy.
Lead user discovery across business associates, plant engineers, analysts, and developers to ensure solutions address real pain points.
Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features using impact-driven frameworks.
Drive adoption and continuous improvement of solutions, enhancing data governance, operational efficiency, and regulatory compliance.
Define KPIs and success metrics to measure adoption, discoverability, and data quality.
Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.
Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.
Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.
Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.

Requirements

Bachelor’s Degree in Computer Science, Engineering, or related field.
8+ years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems; extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (eg, Cloud Run, Pub/Sub, Cloud Storage, and related data processing services).
Experience setting KPIs and evaluation frameworks for AI/analytics products.
Strong written and verbal communication skills; able to engage both executive and technical audiences.
Experience working with big data platforms (Snowflake, Databricks, Kafka) and API-based integrations.
Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
Excellent skills in user research, stakeholder engagement, and storytelling with data.

Technologies

Google Cloud Platform (GCP) and related services including Cloud Run, Pub/Sub, Cloud Storage
Snowflake
Databricks
Kafka

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare 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

Overview

Job Type: Full time
Work Type: Hybrid
Location: Dearborn, MI
Salary: USD 99,600 - 192,900 per year
Minimum Experience: 8 years
Education: Bachelor’s Degree in Computer Science, Engineering, or related field

Why join us

Be a Data Pioneer shaping the future of data driven mobility with advanced metadata solutions
Collaborate with engineers, data scientists, and business leaders driving Ford’s transformation
Contribute at scale to autonomous vehicles, connected car experiences, and AI-driven insights
Grow with Ford through continuous investment in data, AI, and digital transformation

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