CRM Data & Audiences Lead: Personalization & Growth

CFA Institute; Greater London; Hybrid; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Health coverage

Flexible work options

Competitive retirement plans

Wellbeing and development programs

Job summary

CFA Institute is seeking a CRM Data & Audiences Lead to drive data-driven marketing strategies and personalized customer engagement. You will develop segmentation, data models, and lifecycle campaigns across CRM and paid media, collaborating with Data Engineering, Data Science, and Marketing Analytics teams.

The role emphasizes governance of customer data, agile delivery, and continuous improvement of the marketing operating model, with strong emphasis on SFMC and Data Cloud capabilities.

Qualifications

• Bachelor’s degree or equivalent experience in marketing/data science/statistics or related field.
• Minimum 3 years in CRM analytics, lifecycle marketing, or audience strategy with current CRM technologies.
• Mastery of Microsoft Office and strong SQL proficiency.

Responsibilities

• Develop and optimize segmentation strategies and campaign triggers.
• Map AMPSCRIPT fields to data entry sources for dynamic personalization.
• Build predictive models (e.g., churn, next purchase) with Data Science.

Skills

Advanced SQL

English fluency

Cross-functional communication

Microsoft Office proficiency

Education

Bachelor’s degree in Marketing, Data Science, Statistics, or related field

Equivalent experience

Tools

SFMC (Salesforce Marketing Cloud)

Salesforce Data Cloud

AMPSCRIPT

Automation Studio

Data Extensions

Job description

CFA Institute is seeking a CRM Data & Audiences Lead to drive data-driven marketing strategies and personalized customer engagement. You will develop segmentation, data models, and lifecycle campaigns across CRM and paid media, collaborating with Data Engineering, Data Science, and Marketing Analytics teams.

The role emphasizes governance of customer data, agile delivery, and continuous improvement of the marketing operating model, with strong emphasis on SFMC and Data Cloud capabilities.