Senior Marketing Manager - Investor Journeys & Analytics (12 Month Fixed Term Contract) | London, UK

AXA Investment Managers; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading company in the investment management sector is seeking a data-driven Senior Marketer to enhance lead management processes and drive revenue growth. The role involves developing lead nurturing strategies, optimizing marketing automation, and analyzing customer behavior to improve marketing effectiveness. Ideal candidates will have expertise in marketing automation, CRM systems, and a strong analytical background.

Qualifications

• Proficiency in marketing automation and CRM systems.
• Experience in B2B marketing within Asset or Investment Management sectors.

Responsibilities

• Implement lead management strategies to improve conversion rates.
• Develop nurture campaigns and contact strategies across marketing channels.
• Analyze marketing initiatives' performance and share insights.

Skills

Analytical Skills

Communication Skills

Project Management

Education

Degree in Statistics

Degree in Mathematics

Degree in Science

Tools

Oracle Eloqua

Salesforce

SQL

Python

R

Job description

We are seeking a data-driven Senior Marketer to manage and optimise our lead management processes, enhance conversion rates, and drive revenue growth through analysis and refinement of marketing automation campaigns and web journeys.

Reporting to the Global Head of Marketing Operations, this role will focus on developing and executing lead nurturing and contact strategies, improving lead scoring methodologies, visualising marketing campaign results in dashboards, and ensuring seamless MQL handoffs between marketing and sales.

The role will also involve analysing datasets and cross-channel data to explain and predict customer behaviour, delivering insights to improve customer experience, refine marketing activities, and support business growth.

Given the potential merger with another asset manager, this role will be key in aligning marketing automation, campaign tools, and analytics across teams.

The ideal candidate should have deep expertise in marketing automation, CRM systems, and marketing analytics, with a proven track record in scaling lead generation and integrated campaigns.

Discover your opportunity

1. Implement end-to-end lead management strategies to improve conversion rates and pipeline velocity, including:

• Refining lead scoring models collaboratively with Sales, Regional and Global Marketers, Technology, and Data Engineers.
• Monitoring and reporting on lead lifecycle metrics (CTR, conversion rates, ROI) across marketing touchpoints.

Develop nurture campaigns and contact strategies with Content, Regional, and Global Marketing teams across email, events, and web.

Optimize marketing automation (Oracle Eloqua) templates and ensure integration with CRM (Salesforce) for accurate lead tracking.

Partner with Sales and Marketing to align on lead definitions, SLAs, and feedback mechanisms.

Manage and evaluate marketing and nurture campaigns, displaying results via dashboards and visualisation tools.

Support campaign planning with insights and data visualisations to refine targeting and messaging.

Conduct A/B testing to enhance campaign performance and lead quality.

Analyse marketing initiatives' performance across channels, sharing insights with senior management.

Your Profile

Share your expertise

Required Skills & Qualifications:

• Proficiency in Oracle Eloqua, Salesforce, SQL, Python, or R for data analysis.
• Strong analytical skills to interpret data and derive insights.
• Excellent project management and organizational skills.
• Effective communication skills for cross-team collaboration.
• Understanding of ETL, API integrations, and database structures.
• Attention to detail in data accuracy and campaign execution.

Desirable Qualifications:

• Experience in B2B marketing within Asset or Investment Management sectors.
• Knowledge of Big Data Platforms and Microsoft Azure.
• Familiarity with GDPR and data regulations.
• Degree in Statistics, Mathematics, Science, or related fields.

Digital analytics experience is also valued.