CRM & Loyalty Leader: Personalised Journeys & Growth

Robert Dyas; Wimbledon; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

26 days leave + bank holidays

Bonus incentives

Pension scheme

Life assurance

Colleague discount

Job summary

Robert Dyas is seeking a CRM & Loyalty Manager to lead a holistic customer engagement strategy from our Wimbledon Head Office. The role combines strategic ownership with hands-on execution across email, lifecycle marketing, and loyalty initiatives to maximise customer lifetime value.

You will partner with Marketing, Commercial, and cross-functional teams to plan campaigns, optimise journeys, and drive commercial growth through personalised storytelling and data-driven decisions.

Qualifications

• 3+ years in CRM, Loyalty, Retention, or Lifecycle Marketing in retail or consumer-facing business.
• Proven success in campaigns, automated journeys, segmentation, and personalisation.
• Experience with loyalty programs and member engagement/recruitment.

Responsibilities

• Design and deploy end-to-end CRM campaigns across multiple channels.
• Translate strategy into actionable annual, monthly, and weekly CRM plans.
• Lead loyalty program growth across web, app, and in-store touchpoints.
• Build automated customer journeys and smart segmentation to maximise retention.
• Own CRM platform operations and manage agency/supplier relationships.
• Track weekly/monthly metrics and turn data into actionable insights.

Skills

CRM

Loyalty

Retention

Lifecycle Marketing

Email campaigns

Analytics

Tools

Ometria

Job description

Robert Dyas is seeking a CRM & Loyalty Manager to lead a holistic customer engagement strategy from our Wimbledon Head Office. The role combines strategic ownership with hands-on execution across email, lifecycle marketing, and loyalty initiatives to maximise customer lifetime value.

You will partner with Marketing, Commercial, and cross-functional teams to plan campaigns, optimise journeys, and drive commercial growth through personalised storytelling and data-driven decisions.