Operations · Full-time
Direct employerSenior Lifecycle Manager

Published by employer
About this role
This plain-English summary was prepared by work.ke from the original advert. Confirm all details on the source before applying.
Role overview
Tatu City is looking for a Senior Lifecycle Manager to lead customer engagement and growth strategies at their location in Tatu City, Kiambu County. This role suits a strategic and hands-on professional with experience in lifecycle marketing, ideally within real estate, who can work across teams to enhance customer value over time.
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What you will do
- Develop and manage a comprehensive lifecycle marketing strategy including onboarding, engagement, upsell, reactivation, win-back, and loyalty phases.
- Create and implement customer journeys across multiple channels such as email, push notifications, SMS, WhatsApp, in-app messaging, and telesales, tailored to customer behaviour and product usage.
- Design segmentation and targeting methods that enable large-scale personalisation using persona-based, behavioural, and predictive models.
- Utilise AI-driven automation for real-time triggers, churn risk assessment, upsell opportunities, and dynamic content delivery.
- Improve customer journeys through testing methods like A/B and multivariate experiments focusing on lifetime value, retention, churn, and customer acquisition cost recovery.
- Manage CRM systems including Customer.io, Mixpanel, and Salesforce, collaborating with engineering and data teams to enhance workflows and data quality.
- Work closely with performance, brand, and product marketing teams to ensure consistent messaging and a seamless customer experience.
- Set and monitor key performance indicators related to customer lifecycle and report results to senior management.
- Lead and develop a team of lifecycle marketers, CRM analysts, and automation specialists.
Requirements
- At least 3 years of experience in lifecycle, CRM, retention, or performance marketing, preferably in real estate.
- Proven expertise in scaling lifecycle programmes using marketing automation platforms such as Customer.io, Braze, Iterable, or Salesforce.
- Strong data skills including segmentation, cohort analysis, and attribution, with familiarity with tools like Mixpanel, GA4, CDPs, and Looker/Tableau.
- Experience applying AI and machine learning in marketing contexts, including personalisation engines, churn prediction, lifetime value forecasting, or content automation.
- Ability to collaborate effectively with Product, Data, Growth, and Customer Experience teams to achieve measurable business results.
- Excellent project management and communication abilities.
- A proactive approach to testing, learning, and implementing scalable systems.
- Strategic thinking combined with sound commercial judgement.
- A practical, results-driven leadership style with a focus on action.
- Strong communication skills capable of influencing senior stakeholders and cross-functional teams.
- Flexibility and resilience to adapt in complex and rapidly evolving environments.
How to apply
Apply through the employer's official contact with your application. The employer has not published a closing date.