Senior Adobe Analytics Developer

Ford•Dearborn, MI
•$68,300 - $192,900•Hybrid

About The Position

The Senior Adobe Analytics Developer will help architect and lead 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 translates business requirements into technical execution and ensures high-quality data collection supporting digital transformation, personalization, and data-driven decision-making. The position provides technical leadership and influences architectural standards while collaborating with Analytics, Product, Engineering, Marketing, agencies, and other partners. The role contributes to Ford’s enterprise tagging strategy and measurement standards; creates and maintains tagging specifications and documentation; designs scalable measurement solutions; and serves as a subject-matter expert in Adobe Analytics, Launch, and Web SDK. It administers and governs Adobe Analytics and Adobe Launch implementations, supports adoption of Web SDK and modern data collection, and works with privacy, legal, compliance, and technology teams to align practices with enterprise policies, consent requirements, and regulations. The developer applies measurement governance and tagging standards across Ford’s digital properties, customer journeys, and regions; reviews requests for variables, events, segments, and naming conventions; and conducts audits, compliance reviews, and data-quality investigations. The role also collaborates on a globally aligned measurement ecosystem and builds automation and AI-enabled solutions for tagging documentation, intake, quality assurance, and governance workflows. This is a hybrid position requiring onsite work four or more days per week. The salary range is $68,300–$192,900, with the final salary grade and base salary determined by skills, 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 formal authority.
  • Strength in managing 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.
  • Authorized to work legally in the United States; employment eligibility verification is required at hire.
  • Bachelor’s degree in Computer Science, Data Science, Data Analytics, Business Analytics, Mathematics, Statistics, Data Engineering, or a related field is preferred.

Nice To Haves

  • An advanced degree in Computer Science, Data Science, Data Analytics, Business Analytics, Mathematics, Statistics, Data Engineering, or a related field.
  • Bias toward modernization, automation, responsible AI-assisted workflows, and reusable approaches that help Tagging Services develop into a scalable 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 under established governance practices.
  • Support adoption of Web SDK and modern data collection approaches through hands-on implementation and testing.
  • Collaborate with privacy, legal, compliance, and technology teams to align data collection with 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 Ford 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, and 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 for 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.

Benefits

  • Immediate medical, dental, vision, and prescription drug coverage.
  • Paid parental leave, new parent ramp-up programs, and subsidized back-up child care.
  • Family-building benefits, including 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.
  • Vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day.
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