Adobe Analytics Tech Lead

Dover Corporation; Bengaluru; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

Adobe in Bengaluru, IN is seeking an experienced Adobe Analytics Tech Lead to drive analytics, experimentation, and personalization across digital channels. The role combines deep technical expertise with stakeholder partnership, guiding measurement strategies and scalable implementations.

You will leverage AI/ML within the Adobe ecosystem to automate reporting, detect anomalies, and scale personalization while coordinating with business partners and cross-functional teams.

Qualifications

• 8+ years of experience in digital analytics or web analytics.
• Strong expertise in Adobe Analytics, Adobe Target, A4T, and Adobe Launch.
• Experience with AI/ML-driven analytics capabilities, predictive insights, and reporting automation.

Responsibilities

• Design and implement end-to-end analytics and personalization strategies using Adobe Analytics, Adobe Target, Adobe Launch, GTM, and Google Analytics.
• Define KPIs, tagging strategies, technical requirements, and data layer specifications for business partners.
• Translate raw customer journey and behavioral data into actionable, data-driven recommendations.
• Leverage Adobe Analytics AI/ML capabilities such as anomaly detection and contribution analysis to uncover insights.
• Use AI tools to extract conversational insights, automate reporting, and identify trends.
• Drive predictive and generative AI use cases to support customer propensity modeling, reporting automation, and marketing optimization.
• Implement Analytics for Target (A4T) to unify Adobe Analytics reporting within Adobe Target activities.
• Architect advanced personalization capabilities including Auto-Allocate , Auto-Target , Automated Personalization , and Adobe Target Recommendations.
• Provide detailed tagging instructions to development teams and maintain implementation documentation.
• Coordinate QA efforts and validate analytics data collection to ensure data integrity.
• Develop dashboards and reports in Adobe Analysis Workspace, Power BI, or similar tools.
• Partner with business, product, UX, development, and marketing teams to drive value from analytics and experimentation.
• Support training and enablement to improve analytics adoption and self-sufficiency across teams.

Skills

Adobe Analytics

Adobe Target

Adobe Launch

AI/ML capabilities

Cross-domain analytics

GTM

Power BI

Tools

A4T

Adobe Experience Platform

Google Analytics

Marketo Engage

Job description

Adobe Analytics Tech Lead

Location:

Bengaluru, IN

Work Arrangement: Hybrid

Designation: Adobe Analytics Lead

Exp: 6 - 10 Years

We are seeking an experienced and strategically minded Adobe Analytics & Adobe Target Lead with AI Capabilities to lead enterprise digital analytics, experimentation, and personalization initiatives. This role will be responsible for defining and advancing measurement strategies, architecting scalable analytics implementations, and leveraging Adobe Experience Cloud capabilities to generate actionable insights and improve business outcomes.

The successful candidate will combine deep technical expertise in Adobe Analytics, Adobe Target, Adobe Launch, and cross-domain analytics with strong business acumen and stakeholder partnership skills. This role will serve as the primary point of contact for the technical aspects of web analytics and optimization for assigned business partners, ensuring that digital measurement frameworks are aligned to organizational objectives and executed with a high degree of quality, governance, and scalability.

In addition, this role will be expected to leverage AI- and ML-enabled capabilities within the Adobe ecosystem to automate reporting, detect behavioral anomalies, support predictive analysis, and scale personalization efforts across digital channels.

• Design and implement end-to-end analytics and personalization strategies using Adobe Analytics, Adobe Target, Adobe Launch, GTM, and Google Analytics
• Define KPIs, tagging strategies, technical requirements, and data layer specifications for business partners
• Translate raw customer journey and behavioral data into actionable, data-driven recommendations.
• Leverage Adobe Analytics AI/ML capabilities such as anomaly detection and contribution analysis to uncover insights
• Use AI tools to extract conversational insights, automate reporting, and identify trends
• Drive predictive and generative AI use cases to support customer propensity modeling, reporting automation, and marketing optimization
• Implement Analytics for Target (A4T) to unify Adobe Analytics reporting within Adobe Target activities
• Architect advanced personalization capabilities including Auto-Allocate , Auto-Target , Automated Personalization , and Adobe Target Recommendations
• Provide detailed tagging instructions to development teams and maintain implementation documentation
• Coordinate QA efforts and validate analytics data collection to ensure data integrity
• Develop dashboards and reports in Adobe Analysis Workspace, Power BI, or similar tools
• Partner with business, product, UX, development, and marketing teams to drive value from analytics and experimentation
• Support training and enablement to improve analytics adoption and self-sufficiency across teams

Must Have Skills

• 8+ years of experience in digital analytics or web analytics
• Strong expertise in Adobe Analytics , Adobe Target , A4T , and Adobe Launch
• Experience with AI/ML-driven analytics capabilities, predictive insights, and reporting automation
• Experience with Google Analytics, GTM, and cross-domain analytics
• Strong knowledge of Adobe Analytics variables, report suites, metrics, dimensions, segments, and workspace reporting
• Experience with QA validation, troubleshooting, and implementation documentation
• Strong communication, analytical, and stakeholder management skills

Preferred

• Experience with AEM , Marketo Engage , Adobe Experience Platform
• Experience with A/B testing, MVT, and personalization strategy
• Familiarity with privacy and data governance requirements such as GDPR and CCPA

We consider several job-related, non-discriminatory factors when determining the pay rate for a position, including, but not limited to, the position’s responsibilities, a candidate’s work experience, a candidate’s education/training, the position’s location, and the key skills needed for the position. Pay is one of the Total Rewards that we provide to compensate and recognize employees for their work.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.