Data Platform Product Manager

About the role

We are seeking a visionary Technical Product Manager to lead the strategy, development, and execution of Data Platform Engineering products. The ideal candidate will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.

Responsibilities

• Drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.
• Work across teams to integrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford’s data assets are trustworthy, compliant, and AI-ready.
• Empower teams across Ford to make data-driven decisions that shape the future of mobility.

Requirements

• Minimum Qualifications: 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; Experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions; Experience setting KPIs and evaluation frameworks for AI/analytics products; Strong written and verbal communication skills; Experience working with big data platforms (Snowflake, Databricks, Kafka); and Excellent skills in user research, stakeholder engagement, and storytelling with data.
• Preferred Qualifications: Master's degree in a relevant technical field; Proven success in AI/ML-enabled products; Strong understanding and experience with data-centric architectures; Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment; Experience with building and managing data pipelines, data integration, or enterprise system integration projects; Knowledge of monitoring, logging, and alerting best practices for production systems on GCP.

Qualifications

• 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
• Experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions
• 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)
• Excellent skills in user research, stakeholder engagement, and storytelling with data

Skills

• Strong understanding and experience with data-centric architectures
• Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment
• Experience with building and managing data pipelines, data integration, or enterprise system integration projects
• Knowledge of monitoring, logging, and alerting best practices for production systems on GCP

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.

Pay

This position is a range of salary grades 7-8 and ranges from $99,600-$192,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Schedule

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.