Group Product Manager, Transformation and Product Ops

Ford Motor Company is a global automotive company developing connected digital platforms and integrated vehicle services across retail and commercial markets. The Group Product Manager will lead product operations and transformation for Ford Pro Intelligence by establishing a decentralized operating model, managing product governance and delivery cadence, and building shared AI-enabled tools, products, and datasets. The role also oversees portfolio visibility, metrics, executive reporting, and the development of a product operations function.

Responsibilities:

• Build, lead, mentor, and develop the product operations and transformation function, fostering a culture of ownership, collaboration, and continuous improvement. This is a matrixed role owning processes, tooling, and best practice sharing across squads
• Own the operating model and portfolio governance as a matrixed function, with the decision rights to set cadence, metrics standards, and tooling standards across squads, backed by a budget
• Manage the directly owned team (built as needed) creating the shared tools: Conduct reviews, provide regular feedback, and create opportunities for professional growth, including hiring, onboarding, and training
• Over time this role is expected to morph and increasingly shift into a classic Group Product Manager role, owning the product side of one or more delivery squads, directly applying the learnings and practices consolidated in the product management and transformation side of this role
• Drive the rollout of Ford Pro's Domain/Squad operating model, defining best practices for how squads are formed and working with Domain leads to define how ownership, dependencies, and accountability work in a decentralized structure
• Get deep into team operations so people are trained on the new process, understand it, and are following it, managing the change thoughtfully and with care for how teams experience it
• Find what is working and what is not across teams, codify best practices, and share them so improvements compound instead of staying trapped in one squad
• Support the adoption of AI intensive software and product practices, from AI assisted discovery, competitive research, and customer insight mining to faster, lower cost prototyping and delivery
• Partner with engineering and product leaders to find where AI skills and agentic workflows can remove overhead. Consolidate existing best practices and build the playbooks and enablement that make those practices repeatable
• Map AI adoption and delivery to true business value to inform planning and investment decisions and translate it into executive ready narratives and readouts
• Build toward automating the synthesis and reporting work that is manual today, including feedback aggregation, theme extraction from support tickets and reviews, release notes, experiment summaries, and dashboards
• Design, deploy, and govern the AI tooling that PMs and builders use, including approved AI prototyping and analysis tools
• Own the internal knowledge base and context layer that AI agents draw on, so AI gives consistent answers grounded in real Ford Pro data and keep data and instrumentation machine readable and clean enough for agents to operate on
• Define the guardrails: what can be auto shipped versus what needs review, how AI generated experiments are tracked, and where the data governance and IP and security boundaries sit
• Own the work (and team as needed) that builds and operates shared products, tooling, and datasets no single team would build on its own, treating these as real products with owners, roadmaps, and users
• Build and maintain reusable, scalable LLM skills and agentic workflows that teams can deploy, rather than each pod reinventing them
• Prioritize the solution backlog to ensure we build high-impact, reusable solutions across teams
• Stand up the operating rhythms of a growing product organization, including roadmap and product reviews, planning rituals, cross squad syncs, and sharing forums, by defining the cadence and the expected content, so the organization stays coherent as it decentralizes
• Provide the tooling and standards that make inputs, dependencies, and decisions visible without manual chasing, status routing or program coordinating. (Note: These statuses and delivery of updates are owned by the squad leaders, outside of this role)
• Set the standard for product tooling such as Jira/Atlassian and Jira Product Discovery (JPD) so roadmaps, backlogs, and tradeoffs are transparent and comparable across pods
• Build and own a coherent, low effort view of what is coming across squads, including what is shipping, what tradeoffs and judgment calls are being made, and how it ladders up to business value
• Define and govern the KPIs and outcome metrics that make a decentralized portfolio observable, and design the new tools and processes needed to manage roadmaps and tradeoffs at scale
• Collaborate effectively with engineering teams, product teams, and business stakeholders, and present clearly to both technical and non-technical audiences
• Stay close to emerging product operations practices, bring the best ideas back into Ford Pro, and help mature the broader product community of practice

Requirements:

• Bachelor's degree, or equivalent experience
• 10+ years of experience in product management, product operations, transformation or program leadership role within a software or technology intensive organization
• 5+ years of experience in a leadership role, building and managing teams and direct reports
• A demonstrated track record installing new operating models and driving them to real adoption across multiple teams
• A strong sense of curiosity around and familiarity with AI tools as it relates to product management, design, and engineering
• Strong command of agile software delivery across Scrum, Kanban, and SAFe, and the rituals, metrics, and tooling that support it
• Deep familiarity with modern product management practice and the full product lifecycle, from discovery through delivery
• Experience defining KPIs and OKRs and building executive level reporting, roadmaps and portfolio governance
• The judgment to own ambiguity, set direction, and hold senior product and engineering leaders accountable, while still digging into the details
• Candidates for positions with Ford Motor Company must be legally authorized to work in the United States
• Visa sponsorship is not available for this position
• Direct, recent product management experience and readiness to step into heavy support for needed squads, and/or eventually leading a group of squads
• Hands on experience embedding AI and agentic workflows into product and software development processes
• Experience developing or operating software for fleets, connected vehicles, telematics, or other operationally intensive B2B SaaS domains
• Experience with Jira Product Discovery (or similar) and modern product analytics tooling
• Lean and Lean Startup and human centered product development practice, and a continuous learning mindset
• MBA or equivalent, and relevant product or agile certifications