AI-Driven CRM Implementation Lead

Stellar Select Limited

City Of London

Hybrid

GBP 45,000 - 55,000

Full time

14 days+
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Benefits offered by this job

Discretionary annual bonus
Pension
25 days annual leave
Growing fintech environment

Job summary

Stellar Select Limited is seeking an AI & CRM Implementation Specialist for an initial 3-month fixed-term contract in London with a hybrid work pattern. The role focuses on hands-on AI embedding across the business and enhancing CRM capabilities to improve customer journeys and decision-making.

You will collaborate with senior stakeholders to identify opportunities where AI adds value, implement practical AI use cases, and ensure CRM adoption and data quality while delivering measurable

Qualifications

  • Experience implementing AI in financial services or FinTech.
  • CRM experience and optimisation understanding.
  • Ability to engage with senior leadership and operational teams.

Responsibilities

  • Identify and implement practical AI use cases across the business.
  • Embed AI into day-to-day processes, workflows and customer journeys.
  • Translate business requirements into effective technology solutions.
  • Review processes to identify automation opportunities and AI-driven efficiencies.
  • Support development and enhancement of the organisation's CRM capability.
  • Improve CRM processes, data quality, reporting and user adoption.
  • Collaborate with business and technology teams to deliver measurable value.

Skills

AI implementation
CRM optimization
Stakeholder management
Communication skills

Job description

Stellar Select Limited is seeking an AI & CRM Implementation Specialist for an initial 3-month fixed-term contract in London with a hybrid work pattern. The role focuses on hands-on AI embedding across the business and enhancing CRM capabilities to improve customer journeys and decision-making.

You will collaborate with senior stakeholders to identify opportunities where AI adds value, implement practical AI use cases, and ensure CRM adoption and data quality while delivering measurable

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