Ford Motor CompanyVerified from Ford Motor Company's careers page · Oracle HCM
Senior Adobe Analytics Developer
Dearborn, Michigan, USA
On-site
5+ Years
Posted Nov 9, 2026
Visa sponsorship: the posting does not say.
Ford Motor Company had H-1B petitions approved for 789 workers in fiscal year 2025 (USCIS). That is history, not a promise for this role. See the record
At a glance
Senior Adobe Analytics Developer at Ford Motor Company, an on-site role based in Dearborn, Michigan, USA. Experience level: 5+ Years. Posted on 9 November 2026, read from Ford Motor Company's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. Ford Motor Company has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).
Similar roles on RealAnalystJobs, as of 10 November 2026
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...
The Senior Adobe Analytics Developer will help architect and lead the execution of a robust, end-to-end data orchestration framework across Ford’s global digital ecosystem. As a key member of the Global Digital team, you will bridge the gap between business requirements and technical execution, ensuring high-quality data collection that powers Ford’s digital transformation, personalization efforts, and data-driven decision-making.
The ideal candidate is a technical expert in the Adobe Experience Cloud/Platform stack, possessing a deep understanding of data layer architecture, cross site tracking, and privacy-first data collection. You are expected to provide technical leadership, influence architectural standards, and foster collaboration between Analytics, Product, Engineering, and Agency partners.
What you'll do...
Tagging Strategy & Measurement Implementation
• Contribute to the evolution of Ford's enterprise tagging strategy, measurement standards, and common data collection frameworks, providing hands-on expertise and recommendations.
• Create and maintain tagging specifications, SDRs, PV documents, and measurement requirements in line with established standards.
• Partner with Product, UX, Engineering, Analytics, and Marketing teams to design and implement scalable measurement solutions for new and evolving digital experiences.
• Serve as a subject-matter expert on Adobe Analytics, Launch, and Web SDK, sharing knowledge and tagging best practices to help evolve the tagging function from implementation support into a strategic digital measurement capability.
Adobe Platform Administration & Governance
• Administer and configure Adobe Analytics and Adobe Launch implementations.
• Manage report suites, variable configurations, classifications, marketing channels, and implementation standards, following established governance practices.
• Support adoption of Web SDK and modern data collection approaches, including hands-on implementation and testing aligned to Ford's strategy.
• Work with privacy, legal, compliance, and technology teams to help ensure data collection practices meet enterprise policies, consent requirements, and regulatory expectations.
• Identify, test, and implement platform enhancements that improve data quality, consistency, and operational efficiency.
Data Quality, Controls & Measurement Governance
• Apply tagging standards and measurement governance processes consistently across Ford digital properties, customer journeys, and regions (North America, EU, IMG, LATAM, Ford Credit, and other global stakeholders), flagging gaps or deviations and recommending improvements.
• Process and review requests for new variables, events, segments, and naming conventions.
• Perform audits, compliance reviews, and data quality investigations related to tagging and digital measurement implementation, and document findings and remediation.
• Global Standards & Transformation
• Collaborate with analytics and engineering teams to build a globally aligned measurement ecosystem.
• Build and implement automation and AI-enabled solutions that improve tagging services, including documentation, intake, QA, and governance workflows.
You'll have...
• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Business Analytics, Mathematics, Statistics, Data Engineering, or a related field preferred; Advanced Degree in one of these fields is a plus.
• 5+ years of experience in digital analytics, tagging implementation, measurement strategy, marketing technology, data collection, product analytics, or related digital data disciplines.
• Hands-on experience with Adobe Analytics, Adobe Launch, Adobe Target, Adobe Web SDK, Adobe Event Forwarding, report suite administration, classifications, marketing channels, implementation QA, and modern data collection approaches.
• Proficiency in JavaScript and working knowledge of HTML/CSS, JSON, and RESTful APIs. Experience designing and implementing data layers, tag management rules and custom code, and XDM schemas and datastreams for AEP. Skilled in debugging and validating implementations with browser developer tools, AEP Debugger, Assurance, and network tools. Familiarity with single-page applications (SPA), server-side tagging, and consent/privacy tooling.
• Working knowledge of how tagging architecture, data layers, analytics implementation design, and measurement quality support experimentation, personalization, customer journey analysis, and digital performance measurement.
• Demonstrated experience creating tagging documentation and applying governance standards.
• Ability to collaborate with and influence Product, Marketing, Engineering, Analytics, agency, vendor, privacy, compliance, and regional/global stakeholder groups without relying on formal authority.
• Strength in managing your own work intake, prioritization, stakeholder communication, delivery transparency, issue resolution, documentation, and continuous improvement.
• Ability to raise technical quality, recommend standards and tradeoffs, share best practices, and informally mentor peers, with a bias toward modernization, automation, responsible AI-assisted workflows, and reusable approaches that help Tagging Services evolve into a scalable enterprise measurement capability.
You may not
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