CRM Data & Audience Manager (Salesforce)

Location: London, United Kingdom

Company

hirify.global is a global organization focused on investment excellence, professional growth, ethical standards, and better financial markets.

What you will do

• Develop and optimize SQL queries for customer segmentation, behavioral audiences, campaign triggers, and personalized offers.
• Build predictive models for churn, next purchase, loyalty migration, lookalike audiences, and suppression audiences in partnership with Data Science.
• Manage audience libraries, documentation, segmentation logic, and personalization strategies across CRM, loyalty, and paid media channels.
• Govern customer data in Salesforce Data Cloud, AgentForce, and Marketing Cloud, including Data Extensions, integrations, privacy, and security controls.
• Validate data pipelines, perform data quality and automation audits, and support campaign performance measurement and offer optimization.
• Gather requirements, coordinate cross-functional delivery, mentor analysts and marketers, and drive process improvements.

Requirements

• At least 3 years of experience in CRM analytics, lifecycle marketing, or audience strategy.
• Advanced experience with Salesforce Marketing Cloud, including Data Extensions, Automation Studio, Journey Builder, and AMPscript.
• Hands-on experience with Salesforce Data Cloud for segmentation, data integration, and preference management.
• Advanced SQL skills and experience working with large datasets.
• Fluency in English is required.
• Bachelor’s degree in Marketing, Data Science, Statistics, or a related field, or equivalent experience; strong communication, analytical, organizational, and stakeholder-management skills.

Nice to have

• Familiarity with machine learning or predictive modeling.
• Experience in travel, e-commerce, loyalty, or subscription-based industries.

Culture & Benefits

• Comprehensive health coverage and generous time off.
• Competitive retirement plans and flexible work options.
• Wellbeing and professional development programs.
• Collaboration across Marketing, Data Engineering, Data Science, Marketing Analytics, and IT.