Senior Adobe Analytics Developer

Ford Motor•Dearborn, MI

2d•Hybrid

About The Position

The Senior Adobe Analytics Developer will help architect and lead the execution of an end-to-end data orchestration framework across Ford’s global digital ecosystem. As a member of the Global Digital team, this role connects business requirements with technical execution and helps ensure high-quality data collection that supports digital transformation, personalization, and data-driven decisions. The developer is expected to provide technical leadership, influence architecture standards, and collaborate with Analytics, Product, Engineering, and agency partners. The role contributes to Ford’s enterprise tagging strategy, measurement standards, and data collection frameworks; creates and maintains tagging and measurement documentation; and designs scalable measurement solutions for digital experiences. It also administers and configures Adobe Analytics and Adobe Launch, supports Web SDK adoption, applies governance practices, and works with privacy, legal, compliance, and technology teams on policy and consent requirements. The position applies tagging and measurement governance across Ford’s digital properties, customer journeys, and global regions. It reviews requests for variables, events, segments, and naming conventions; conducts audits and data-quality investigations; and documents findings and remediation. The developer also collaborates on a globally aligned measurement ecosystem and develops automation and AI-enabled solutions for tagging documentation, intake, QA, and governance workflows. This is a hybrid position requiring onsite work four or more days per week. The posted salary range is $68,300–$192,900, with final salary grade and compensation determined based on candidate skills and experience, job scope, responsibility, and market value. Visa sponsorship is not available; candidates must be legally authorized to work in the United States.

Requirements

At least 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.
Skill in debugging and validating implementations using 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 work intake management, prioritization, stakeholder communication, delivery transparency, issue resolution, documentation, and continuous improvement.
Ability to improve technical quality, recommend standards and tradeoffs, share best practices, and informally mentor peers.
Bachelor’s degree in Computer Science, Data Science, Data Analytics, Business Analytics, Mathematics, Statistics, Data Engineering, or a related field preferred.

Nice To Haves

An advanced degree in Computer Science, Data Science, Data Analytics, Business Analytics, Mathematics, Statistics, Data Engineering, or a related field is a plus.
Experience or interest in modernization, automation, responsible AI-assisted workflows, and reusable approaches that help tagging services scale as an enterprise measurement capability.

Responsibilities

Contribute hands-on expertise and recommendations to Ford’s enterprise tagging strategy, measurement standards, and common data collection frameworks.
Create and maintain tagging specifications, SDRs, PV documents, and measurement requirements in accordance with established standards.
Partner with Product, UX, Engineering, Analytics, and Marketing teams to design and implement scalable measurement solutions for digital experiences.
Serve as a subject-matter expert on Adobe Analytics, Launch, and Web SDK, sharing knowledge and tagging best practices.
Administer and configure Adobe Analytics and Adobe Launch implementations.
Manage report suites, variable configurations, classifications, marketing channels, and implementation standards in line with governance practices.
Support adoption of Web SDK and modern data collection approaches through hands-on implementation and testing.
Work with privacy, legal, compliance, and technology teams to help ensure data collection meets enterprise policies, consent requirements, and regulatory expectations.
Identify, test, and implement platform enhancements that improve data quality, consistency, and operational efficiency.
Apply tagging standards and measurement governance across digital properties, customer journeys, and global regions; identify gaps or deviations and recommend improvements.
Process and review requests for new variables, events, segments, and naming conventions.
Conduct tagging audits, compliance reviews, and data-quality investigations; document findings and remediation.
Collaborate with analytics and engineering teams to build a globally aligned measurement ecosystem.
Build and implement automation and AI-enabled solutions that improve tagging documentation, intake, QA, and governance workflows.
Manage work intake, prioritization, stakeholder communication, delivery transparency, issue resolution, documentation, and continuous improvement.
Recommend technical standards and tradeoffs, share best practices, and informally mentor peers.