Manager, Data Product Management

Ford Motor•Dearborn, MI

16h•$141,700 - $268,300•Onsite

About The Position

The Manager, Data Product Management for Ford’s Enterprise Data Platform owns the strategy, quality, and business value of data in Ford’s Enterprise Data Lake, which holds company line-of-business and third-party data curated for Analytics, AI, Reporting, and Operational Data Store (ODS) use cases. The role focuses on ensuring data is trusted, discoverable, well-governed, and expressed in business language. It leads six Supervisors who are accountable for defining, designing, building, and managing Domain Data Hubs—curated collections of data products representing business concepts such as Customer, Vehicle, Dealer, Part, and Order. The manager develops the data product vision and roadmap, establishes enterprise standards and measures portfolio outcomes, and leads consistent practices across hubs while addressing shared concepts and dependencies. The role oversees business-concept and data-product development, data quality, governance, privacy, security, lifecycle management, stakeholder engagement, adoption, and cost stewardship. It partners with the Enterprise Data Platform Product Manager and platform teams on requirements and roadmap input; the platform itself is owned by others. The position requires data product management expertise, knowledge of data modeling and governance, people leadership, and the ability to engage senior enterprise stakeholders. A bachelor’s degree in a relevant field and at least eight years of experience in data management, data engineering, analytics, or product management are required, including product-management and people-leadership experience. Relocation assistance and sponsorship are available. The role is leadership level 5, with a stated salary range of $141,700–$268,300.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Statistics, Applied Mathematics, Business Analytics, or a related field.
At least 8 years of experience in data management, data engineering, analytics, or product management.
At least 3 years focused on product management, with a track record of delivering enterprise-scale data solutions.
At least 3 years of people leadership experience, including managing managers or 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 enterprise data governance, data quality, data privacy, and security.
Experience defining and delivering data products or data-as-a-product approaches, including data contracts, service levels, and product metrics.
Proven ability to define and execute product roadmaps and manage complex, cross-functional programs in a fast-paced environment.
Excellent communication and stakeholder-management skills, including the ability to influence senior leaders and explain technical concepts in business language.
Legally authorized to work in the United States; employment eligibility will be verified at hire.

Nice To Haves

An advanced degree.
Experience in the automotive or manufacturing industry.
Familiarity with semantic layers, business glossaries, and data catalog tools.
Exposure to AI/ML and generative AI data requirements.
Experience with data visualization and analytics tools.
Experience within Google Cloud Platform.
Experience with Agile/Scrum methodologies, including Jira.

Responsibilities

Develop and articulate the data product vision for the Enterprise Data environment and domain data hubs, aligned with Ford’s data, AI, and digital transformation goals.
Define and drive the data product roadmap, prioritizing domains, business concepts, and products based on business value, customer feedback, data insights, and enterprise priorities; partner with non-direct-reporting Data Hub owners.
Establish and manage the enterprise data product framework, standards, and definitions for data products, business concepts, and domain data hubs.
Define and track portfolio outcomes, including adoption, reuse, time-to-data, business impact, and retirement of redundant or low-value assets.
Lead, coach, and develop Supervisors responsible for domain data hubs; set objectives, accountabilities, and performance expectations.
Ensure consistent practices across hubs, including design patterns, naming and modeling conventions, definitions of done, and release and support processes, while accommodating domain needs.
Manage cross-hub dependencies and shared concepts, resolving overlaps, conflicting definitions, and duplicate data.
Allocate resources and manage portfolio capacity, skills, and priorities; build a talent pipeline and culture of data product ownership.
Oversee the design and delivery of business concepts supported by a shared business glossary, semantic definitions, and consistent metrics.
Ensure data products are fit for Analytics, AI/ML, Reporting, and ODS use, with defined owners, schemas, service levels, and data contracts.
Partner with source-system owners and data producers to ensure data is appropriately sourced, understood, and delivered with agreed quality and timeliness.
Partner with Data Architecture on data modeling and integration standards for structured, unstructured, batch, and real-time data, including master and reference data alignment and source-to-consumption lineage.
Deliver high-quality, documented, and appropriately governed data products that support AI/ML and generative AI training, grounding, and operations.
Own data quality for domain data hubs by defining quality rules, measures, and thresholds, monitoring them, and driving remediation at the source.
Partner with Data Governance, Privacy, and Security teams to ensure data classification, protection, and access comply with applicable regulations and Ford policy.
Establish data ownership and stewardship for each business concept and product, including metadata, lineage, and catalog documentation.
Define and manage data lifecycle policies, including retention, archival, and decommissioning.
Collaborate with business stakeholders across functions to understand data needs and translate them into data products and business concepts.
Conduct customer discovery through interviews, surveys, and pulse checks to understand needs, measure satisfaction, and identify emerging requirements.
Manage senior-leadership relationships and provide product reviews covering progress, outcomes, risks, and opportunities.
Act as a liaison among business stakeholders, data producers, data consumers, and platform teams to maintain communication and alignment.
Partner with the Enterprise Data Platform Product Manager and platform teams to communicate data-product requirements and provide input to the platform roadmap; the platform is owned by others.
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 with finance and procurement, optimizing storage, duplication, and consumption costs while delivering high-value products.
Stay informed about data product management, data mesh and fabric hybrid models, data-as-a-product approaches, semantic modeling, governance, and AI.
Foster continuous improvement, experimentation, and data literacy within the team and across the enterprise.

Benefits

Immediate medical, dental, vision, and prescription drug coverage.
Flexible family care days, paid parental leave, new-parent ramp-up programs, and subsidized backup child care.
Adoption and surrogacy expense reimbursement and fertility treatments.
Vehicle discount program for employees and family members, and management leases.
Tuition assistance.
Employee resource groups.
Paid time off for individual and team community service.
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 is available.