CRM Data Manager (Salesforce)

Location: London

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, lookalike audiences, and suppression audiences.
• Map AMPSCRIPT fields to data sources and support dynamic personalization, lifecycle campaigns, and data-driven offers.
• Build predictive models such as churn, next purchase, and loyalty migration models in partnership with Data Science.
• Maintain audience libraries and documentation for CRM, Loyalty, and Paid Media teams.
• Govern customer data in Salesforce Data Cloud, AgentForce, and Marketing Cloud, including Data Extensions, new data integrations, privacy, and security compliance.
• Partner with Data Engineering, Data Science, Marketing Analytics, IT, and other stakeholders on requirements, data QA, pipeline validation, audits, experimentation, performance measurement, and process improvements.

Requirements

• Bachelor’s degree in Marketing, Data Science, Statistics, or a related field, or equivalent experience.
• At least 3 years of experience in CRM analytics, lifecycle marketing, or audience strategy, including recent experience with current CRM technologies and capabilities.
• Advanced proficiency in Salesforce Marketing Cloud, including Data Extensions, Automation Studio, Journey Builder, and AMPSCRIPT.
• Hands-on experience with Salesforce Data Cloud for audience segmentation, data integration, and preference management.
• Advanced SQL proficiency and experience working with large datasets.
• Mastery of Microsoft Office.
• Strong cross-functional communication skills and the ability to translate business needs into technical outputs.
• Teamwork, initiative, independent working ability, attention to detail, critical thinking, and effective written, verbal, and presentation skills.
• Flexibility in managing competing priorities and changing expectations.
• Fluency in English.

Nice to have

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

Culture & Benefits

• Flexible work options.
• Health coverage and generous time off.
• Competitive retirement plans.
• Wellbeing and development programs.
• Agile collaboration, cross-functional teamwork, mentoring, and continuous improvement are encouraged.