Digital Analytics Manager

Role & responsibilities

• Lead Adobe Analytics and Adobe Launch implementations

  across multiple digital platforms (web/mobile).
• Oversee the

  end-to-end tagging lifecycle

  from solution design, implementation, QA, to reporting and validation.
• Collaborate with key business stakeholders to

  scope new analytics requests

  , translate them into actionable technical requirements, and lead their execution.
• Manage a team of analysts and tagging specialists to ensure timely delivery, prioritization, and quality of digital analytics deliverables.
• Work closely with developers, product managers, UX teams, and marketing to embed measurement strategies across all digital initiatives.
• Develop and maintain documentation including SDRs (Solution Design References), implementation specs, and governance frameworks.
• Monitor data accuracy, troubleshoot discrepancies, and manage change control processes.
• Provide

  strategic insights

  and

  data storytelling

  to leadership to support business goals, product enhancements, and campaign performance.
• Own

  revenue forecasting

  , budgeting, and resource planning for the analytics function.
• Stay current with industry trends, Adobe product updates, and best practices in tag management and privacy compliance (GDPR, CCPA, etc.).

Preferred candidate profile

• 1015 years of experience in

  digital analytics

  , with a strong focus on

  Adobe Analytics (AA)

  and

  Adobe Launch

  .
• Proven track record of managing end-to-end digital measurement projects for high-traffic sites and/or enterprise-level clients.
• Deep understanding of

  digital data layers

  , tagging strategies, and data governance.
• Strong experience working with stakeholders across Marketing, Product, Engineering, and Legal teams.
• Excellent

  project management skills

  with the ability to lead multiple initiatives in parallel.
• Clear understanding of

  business KPIs

  and ability to tie digital analytics outputs to business impact.
• Strong analytical mindset and problem-solving skills, including the ability to work with large datasets.
• Hands-on experience with data visualization tools (Adobe Workspace, Power BI, Tableau, etc.).
• Comfortable presenting to senior leadership and translating data into meaningful business recommendations.