We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
In this position...
Ford is seeking a visionary Director, Cloud Platform Engineering – Data, Analytics & Agentic Data Cloud to own strategy, architecture, and engineering of Ford's cloud database and analytics platforms — built on Google Cloud Platform (GCP) services including Cloud SQL, Spanner, AlloyDB, BigTable, Firestore, and BigQuery. This leader will bring a product-minded, automation-first, Infrastructure-as-Code (IaC) platform engineering discipline to every layer of Ford's data estate, own Database-as-a-Service (DBaaS) and fit-for-purpose database architecture patterns for Product Development Organizations (PDO), drive consolidation and cost optimization of SaaS database products, and define Ford's Agentic Data Cloud patterns — including database MCP servers, Knowledge Catalog, and Conversational Analytics — for consumption by application teams.
What you'll do...
Platform Engineering Vision & Leadership
- Serve as Ford's visionary platform engineering leader for cloud databases and analytics — setting a multi-year strategic roadmap that anticipates future AI, security, and scale requirements.
- Instill a platform engineering mindset across the data estate — treating databases and analytics systems as internal products with self-service APIs, golden paths, paved roads, and clear SLOs rather than ticket-driven infrastructure.
- Drive all platform services through an Infrastructure-as-Code (IaC) mindset — defining, provisioning, and managing database and analytics infrastructure as version-controlled, testable, and repeatable code rather than manual configuration.
- Continue to deepen partnerships with cloud and SaaS vendors, co-building rich, differentiated capabilities within their platforms so Ford operates as a strategic technical partner rather than a passive consumer.
- Build, mentor, and lead a global, high-performing team of platform engineers, architects, and SREs; foster a culture of innovation through hackathons, ideathons, and DevSecOps community events.
Cloud Database & Analytics Platform Engineering
- Architect and operate GCP-native database platforms (Cloud SQL, Spanner, AlloyDB, BigTable, Firestore) with consistent, reusable, IaC-driven platform engineering patterns across provisioning, security, and observability.
- Own platform engineering for BigQuery and the broader analytics stack — building governed, self-service data pipelines and reusable analytics tooling for product and data science teams.
- Build golden-path templates, service APIs, and IaC-based paved-road automation that let engineering teams provision and operate database and analytics resources safely and consistently at scale.
Database-as-a-Service & Fit-for-Purpose Architecture
- Own Ford's Cloud Database-as-a-Service (DBaaS) strategy, enabling self-service provisioning across GCP-native and SaaS database platforms with automated, golden-path IaC pipelines.
- Define and evangelize database architecture patterns that guide Product Development Organizations (PDO) toward fit-for-purpose database selection — matching workload characteristics to the right relational, NoSQL, graph, or in-memory technology rather than defaulting to a single platform.
- Partner with PDO application and engineering teams to embed these architecture patterns into design reviews, reference architectures, and reusable templates.
- SaaS Consolidation & Cost Optimization
- Lead enterprise-wide consolidation of SaaS database products (e.g., MongoDB, Neo4J, Redis), reducing platform sprawl, redundant licensing, and support overhead.
- Own full lifecycle management of database, analytics, and SaaS platforms — versioning, patching, upgrade planning, end-of-life tracking, and decommissioning of unused resources — to proactively eliminate unnecessary and duplicate cost.
- Own full lifecycle management of database, analytics, and SaaS platforms — versioning, patching, upgrade planning, end-of-life tracking, and decommissioning of unused resources — to proactively eliminate unnecessary and duplicate cost.
- Own cost-optimization strategy and cloud-cost mindsets (rightsizing, usage governance, cost recommenders) across the data platform portfolio; manage vendor contracts and negotiate enterprise agreements.
Agentic Data Cloud
- Define and evangelize Ford's Agentic Data Cloud strategy, shifting the enterprise from a passive system of intelligence to an agent-centric system of action.
- Provide application teams with standardized, reusable patterns for database MCP (Model Context Protocol) Servers, enabling AI agents to safely discover, reason over, and act on enterprise data.
- Lead deployment of Knowledge Catalog capabilities for AI-context governance and data discoverability, and roll out Conversational Analytics patterns for natural-language data interaction across Ford's applications.
- Define guardrails and human-in-the-loop controls aligned to Ford's Agentic AI Rubric; partner with Google product and engineering teams (GDIA, Enterprise Architecture) on POC design and service launch frameworks.
You'll have...
- 15+ years in software engineering, cloud architecture, and data platform services, including significant leadership experience.
- Proven platform engineering ownership of large-scale database and analytics environments on GCP (Cloud SQL, Spanner, AlloyDB, BigTable, Firestore, BigQuery).
- Strong hands-on experience with Infrastructure-as-Code tooling and practices, driving platform services through code-defined, version-controlled automation rather than manual provisioning.
- Direct experience with SaaS database platforms (MongoDB, Neo4J, Elastic, Redis), including consolidation and cost-optimization initiatives at enterprise scale.
- Demonstrated success owning DBaaS and defining fit-for-purpose database architecture patterns adopted by application/product teams.
- Demonstrated experience with agentic AI and data platform concepts — MCP servers, Knowledge Catalog, Conversational Analytics, and AI governance frameworks.
- Strong background in DevOps/SRE practices, automation, CI/CD, and observability.
- Bachelor's degree required
Even better, you may have...
- Excellent executive communication skills and ability to lead through influence;
- Master's degree preferred
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
This position is leadership level 5 and ranges from $141,700-$268,300.
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.
*Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.
For more information on salary and benefits, click here: New Hire Benefits
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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