Background information about the job or company

Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. "Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. This sets the primary g...

Responsibilities or duties

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.

Qualifications or requirements

Type of Qualification: First Degree

Field of Study: Economics, Statistics, Data Science, Mathematics, computer science or any related quantitative discipline

Experience needed

5-7 years

Experience in data analytics/behavioural science/ personalization within banking, insurance, wealth management, fintech, telco, or top-tier consulting.

Demonstrated delivery of personalization use cases end-to-end (segmentation, Next Best Action, campaign optimization, recommendations) with measurable uplift (e.g., conversion, adoption, NPS, retention).

Hands-on experience designing and running experiments (A/B testing, RCTs, test-and-learn), including hypothesis design, sample sizing basics, and readouts.

Experience applying causal inference / econometrics (e.g., DiD, matching, IV/RDD where applicable) to estimate impact and avoid biased conclusions.

Strong background working with customer data (transactional, digital behavioural, demographic), and translating insights into actions across app journeys, email/SMS, contact centre, and RM/advisory channels.

Proven track record partnering across Product, Digital, Marketing, Data Analytics, Risk and Compliance to embed insights into Customer relationship management and decisioning tools.

Experience operating in a regulated environment, with practical understanding of privacy/consent, responsible marketing, model risk/governance, and fair customer outcomes.

Additional Information

Behavioural Competencies:

• Client Focus
• Analytical Rigor
• Innovation
• Integrity
• Team Working
• Clear Communication & Story Telling

Technical Competencies:

• Experiment Design & Measurement (A/B testing, test-and-learn)
• Data Analysis & Modelling (segmentation, propensity, uplift / NBA)
• Data Skills (SQL) or analytics tools (Python/R)
• Personalisation & Campaign Execution (CRM, journeys, triggers

• 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.
• 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.
• Improve the customer experience and relevance of engagements, accelerate adoption of targeted wealth and banking solutions, and strengthen long-term client relationships, while ensuring responsible, compliant and measurable execution across platforms.

• Client Focus
• Analytical Rigor
• Innovation
• Integrity
• Team Working
• Clear Communication & Story Telling
• Experiment Design & Measurement (A/B testing, test-and-learn)
• Data Analysis & Modelling (segmentation, propensity, uplift / NBA)
• Data Skills (SQL) or analytics tools (Python/R)
• Personalisation & Campaign Execution (CRM, journeys, triggers)

• First Degree
• Economics, Statistics, Data Science, Mathematics, computer science or any related quantitative discipline
• 5-7 years of experience in data analytics/behavioural science/ personalization within banking, insurance, wealth management, fintech, telco, or top-tier consulting.
• Demonstrated delivery of personalization use cases end-to-end (segmentation, Next Best Action, campaign optimization, recommendations) with measurable uplift (e.g., conversion, adoption, NPS, retention).
• Hands-on experience designing and running experiments (A/B testing, RCTs, test-and-learn), including hypothesis design, sample sizing basics, and readouts.
• Experience applying causal inference / econometrics (e.g., DiD, matching, IV/RDD where applicable) to estimate impact and avoid biased conclusions.
• Strong background working with customer data (transactional, digital behavioural, demographic), and translating insights into actions across app journeys, email/SMS, contact centre, and RM/advisory channels.
• Proven track record partnering across Product, Digital, Marketing, Data Analytics, Risk and Compliance to embed insights into Customer relationship management and decisioning tools.
• Experience operating in a regulated environment, with practical understanding of privacy/consent, responsible marketing, model risk/governance, and fair customer outcomes.