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Strong brand, generalist engineering manager title, and broad cloud/analytics skillset drive high competition.
Technical platform skills are transferable, but analytics/tooling and privacy governance require domain-specific experience.
Explicit years, required analytics platform expertise, specific tech stack, and managerial expectations increase strictness.
Lead technical and architectural direction for enterprise digital analytics platforms across web, mobile, and event-driven data instrumentation.
Design and oversee scalable, cloud-native architectures enabling real-time and near real-time data processing.
Manage and mentor engineering teams; drive best practices including CI/CD, automation, and modernization initiatives while ensuring compliance with data governance and security standards.
Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field, or equivalent experience.
6–8+ years of progressively advanced experience in software engineering, analytics engineering, or related technical roles.
Expertise in digital analytics platforms such as Adobe Analytics or Tealium; strong skills in JavaScript, Java, SQL, and cloud platforms (AWS/Azure/GCP).
Proven ability to lead technical teams with independent architectural decision-making; experience with automated testing frameworks, CI/CD pipelines, and DevOps practices.
Experienced technical leader or engineering manager for large-scale analytics or data platform teams.
Skilled in translating complex business requirements into technical specifications and solutions within Agile and Kanban frameworks.
Strong understanding of data governance, privacy engineering, and secure data orchestration techniques including server-side and privacy-safe data collection methods.