Manager, Data Product Management

Ford Motor Company

. Own the strategy, quality, and business value of data in Ford’s Enterprise Data Lake .

Posted 10/21/2026full-timeDearborn • Michigan • United StatesSeniorLead💰 $141,700 - $268,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management and product strategy, with a strong focus on data quality, governance, and analytics. Proven ability to lead teams, manage complex data portfolios, and drive data product adoption in enterprise environments.

Highest-signal resume keywords

Data ManagementProduct ManagementData GovernanceData QualityCloud Data Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ArchitectureData LakesData ContractsProduct RoadmapsAnalyticsData PrivacyData LineageData VisualizationBusiness Analytics

Soft Skills

Excellent CommunicationStakeholder ManagementLeadershipInfluencing Senior LeadersCollaboration

Tools & Technologies

Google Cloud PlatformAWSAzureJiraData Catalog Tools

Industry Keywords

Automotive IndustryManufacturing IndustryEnterprise Data SolutionsAI/MLGenerative AI

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Own the strategy, quality, and business value of data in Ford’s Enterprise Data Lake
Develop and articulate the data product vision for the Enterprise Data environment and domain data hubs
Define and drive the data product roadmap and prioritize domains, business concepts, and data products
Establish and manage the enterprise data product framework and standards
Define and track portfolio value and outcomes, including adoption, reuse, time-to-data, business impact, and retirement of redundant assets
Lead, coach, and develop six Supervisors responsible for domain data hub lifecycles
Ensure consistent practices, design patterns, naming and modeling conventions, release, and support processes across hubs
Manage cross-hub dependencies, shared concepts, overlaps, conflicting definitions, and duplicate data
Allocate resources and manage the portfolio across hubs
Oversee design and delivery of business concepts, data products, schemas, service levels, and data contracts
Partner with source-system owners, data producers, Data Architecture, platform teams, Governance, Privacy, and Security
Ensure data readiness for Analytics, AI/ML, generative AI, Reporting, and ODS use cases
Own data quality, define quality rules and thresholds, monitor quality, and drive remediation
Establish data ownership, stewardship, metadata, lineage, catalog documentation, and lifecycle policies
Collaborate with business-unit stakeholders and conduct customer discovery through interviews, surveys, and pulse checks
Manage senior leadership relationships and provide product reviews on progress, outcomes, risks, and opportunities
Drive data-product adoption and reuse through onboarding, training, documentation, best-practice guides, and enterprise-catalog promotion
Analyze usage data and feedback to improve data-product quality, usability, and value
Manage the data portfolio budget and optimize storage, duplication, and consumption costs
Foster continuous improvement, experimentation, innovation, and data literacy

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Statistics, Applied Mathematics, Business Analytics, or a related field
8+ years of experience in data management, data engineering, analytics, or product management
At least 3 years focused on product management
Track record of delivering enterprise-scale data solutions
3+ years of people leadership experience, including managing managers/supervisors or leading large, multi-team organizations
Strong understanding of data modeling, data architecture, data lakes/lakehouses, master and reference data, metadata, and lineage
Hands-on familiarity with cloud data environments such as GCP, AWS, or Azure
Experience with data governance, data quality, and data privacy and security in an enterprise environment
Experience defining and delivering data products or data-as-a-product approaches, including data contracts, service levels, and product metrics
Ability to define and execute product roadmaps and manage complex, cross-functional programs
Excellent communication and stakeholder management skills, including influencing senior leaders and articulating technical concepts in business language
Candidates must be legally authorized to work in the United States
Preferred: automotive or manufacturing industry experience; semantic layers, business glossaries, data catalog tools, AI/ML and generative AI data requirements, data visualization and analytics tools, Google Cloud Platform, and Agile/Scrum with Jira

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 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
Relocation assistance
Sponsorship available