Information TechnologyFull-TimeSenior-level(6+ yrs)
Job Description
The Manager, Personalisation Enablement will contribute to the development and delivery of Stanbic Bank Kenya’s personalisation capabilities by applying behavioural science and data-driven insights to client data, product recommendations and customer engagement strategies. They will partner with Personal & Private Banking, Marketing, Digital, Data & Analytics and Country stakeholders to design and run experiments, translate insights into Next Best Action (NBA) and campaign use cases, and embed behaviourally informed nudges across digital journeys, communications and relationship-led advisory interactions. This role focuses on improving the customer experience and relevance of engagements, accelerating adoption of targeted wealth and banking solutions, and strengthening long-term client relationships, while ensuring responsible, compliant and measurable execution across platforms.
Responsibilities
Apply behavioural science and data-driven insights to client data for product recommendations and engagement strategies.
Partner with various stakeholders (Marketing, Digital, Data & Analytics) to design and run experiments.
Translate data insights into Next Best Action (NBA) and campaign use cases.
Embed behaviourally informed nudges across digital journeys and communications.
Improve customer experience and engagement relevance to accelerate adoption of banking solutions.
Ensure responsible and compliant execution across all platforms.
Requirements and Experience
Education: First Degree in Economics, Statistics, Data Science, Mathematics, Computer Science, or any related quantitative discipline.
Work Experience: 5-7 years of experience in data analytics, behavioural science, or personalisation within banking, insurance, wealth management, fintech, telco, or top-tier consulting.
Technical Expertise: Demonstrated delivery of personalisation use cases end-to-end (segmentation, Next Best Action, campaign optimization, recommendations) with measurable uplift (e.g., conversion, adoption, NPS, retention).
Experimentation: Hands-on experience designing and running experiments (A/B testing, RCTs, test-and-learn), including hypothesis design and sample sizing basics.
Data Handling: Strong background working with customer data (transactional, digital behavioural, demographic).
Governance: Experience operating in a regulated environment, with practical understanding of privacy/consent, responsible marketing, and model risk governance.
Competencies and Skills
Behavioural: Client Focus, Analytical Rigor, Innovation, Integrity, Team Working, and Clear Communication & Story Telling.
Technical: Experiment Design & Measurement, Data Analysis & Modelling (segmentation, propensity, uplift / NBA), Data Skills (SQL), or analytics tools (Python/R), and Personalisation & Campaign Execution (CRM, journeys, triggers).
How to Apply
Interested and qualified candidates should apply online through the SmartRecruiters platform by following the application link provided.
