Agency :
PivotRoots
:
CSA India at Havas is looking for a Lead - Marketing Technology to drive lifecycle marketing strategy and manage a team of CLM specialists working across Clevertap, MoEngage and Braze. The ideal candidate will have a minimum of 4 years of experience, with strong expertise in segmentation, journey design, creative strategy and end-to-end lifecycle execution. The role requires strong analytical and strategic thinking, with the ability to interpret data from Appsflyer, Branch and Google Analytics, build insightful reports on Looker Studio and drive continuous optimisation through A/B testing and experimentation.
Key Responsibilities:Lead, mentor and upskill the CLM team within CSA India across Clevertap, MoEngage and Braze
Develop segmentation strategies, lifecycle journeys and channel-wise creative direction
Oversee campaign execution, automation setup, A/B tests and experimentation frameworks
Analyse behavioural and funnel data using Appsflyer, Branch and Google Analytics to drive performance
Build dashboards and campaign performance reports using Looker Studio
Collaborate with media, creative, product and data teams to maximise engagement, retention and LTV
Ensure high-quality delivery, QA, reporting accuracy and continuous improvement across lifecycle programs
Educational Qualification:Engineering degree required
MBA preferred
Contract - Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.
Contract Type :
Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual's ability to perform their job.
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